Robinson Cole LLP
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Jim Merrifield is a recognized leader in the legal industry, with nearly 20 years of professional experience. As Chief Data Officer, Jim directs the firm’s strategic initiatives in artificial intelligence and data-driven innovation, in addition to overseeing the information governance department. His responsibilities span compliance, business intake, conflicts, data privacy, records management, and now, supporting the advancement of AI technologies across the organization.

Widely respected for his vast knowledge of information governance, Jim is known for his extensive background in policy development and enforcement, enterprise program deployment, technology solutions, and the implementation of cutting-edge AI applications. He has built a strong reputation as a knowledgeable practitioner and trusted consultant, with his deep understanding of the evolving data landscape reflected in many published articles, lectures, and advisory services for leading companies and law firms.

Jim’s innovative thinking and commitment to elevating industry standards are exemplified in his creation of the popular podcast, InfoGov Hot Seat. This platform facilitates candid conversations with practitioners, consultants, and solution providers, delivering unique insights on legal technology, information as an asset, and the transformative role of artificial intelligence..

  • Quinnipiac University (Bachelors)
    • B.A., Legal Studies
  • ARMA International (Certification)
    • Information Governance Professional
  • Certified Information Governance Officers Association
    • Certified Information Governance Officer (CIGO)

Chapter Leader of the Year 2011, ARMA International

ARMA International
Chair, Board of Directors (2024 - Present)
Vice-Chair, Board of Directors (2023 – 2024)

International Legal Technology Association 
Member

International Association of Privacy Professionals 
Member

Publications


Data Privacy + Cybersecurity Insider teaser
January 22, 2026

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
January 8, 2026

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
September 4, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
January 22, 2026

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
January 8, 2026

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
September 4, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
July 17, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
July 10, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
July 3, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
June 26, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
June 20, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
March 13, 2025

Data Privacy + Cybersecurity Insider



Data Privacy + Cybersecurity Insider teaser
July 17, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
July 10, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
July 3, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
June 26, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
June 20, 2025

Data Privacy + Cybersecurity Insider

Data Privacy + Cybersecurity Insider teaser
March 13, 2025

Data Privacy + Cybersecurity Insider


News


April 6, 2026

Robinson+Cole Integrates Thomson Reuters’ Deep Research into Newcode.ai Platform to Advance Secure, Verifiable Legal Research

Robinson+Cole has expanded its firmwide artificial intelligence (AI) capabilities by integrating Thomson Reuters’ Deep Research directly into Newcode.ai, the agentic AI platform implemented last year by the firm to support legal workflows across practices. With this integration, Robinson+Cole is one of only two law firms with direct access to the Deep Research API—and the only firm deploying it through Newcode.ai. Building on its 2025 partnership with Newcode.ai —making Robinson+Cole the first Am Law 200 firm to adopt the platform—the firm has continued to expand its AI capabilities as part of a broader strategy focused on secure deployment, ethical use, and seamless integration into daily legal work. The integration enables Robinson+Cole attorneys to conduct complex, multi‑step legal research and receive verifiable, citation‑backed responses grounded in trusted Thomson Reuters content. By embedding Deep Research into Newcode.ai, Robinson+Cole continues to build on its deliberate, governance‑first approach to AI adoption while delivering meaningful, practice‑ready innovation for its lawyers and clients. “Innovation at Robinson+Cole is grounded in client service, security, and practicality,” said J. Michael Wirvin, Managing Partner of Robinson+Cole. “By incorporating Thomson Reuters’ Deep Research directly into Newcode.ai, we are providing our lawyers with advanced research capabilities in a secure environment fully controlled by the firm that aligns with our standards for data governance, accuracy, and responsible AI use. This integration reflects our continued focus on adopting technology thoughtfully to support our attorneys and deliver value to our clients.” The addition of Deep Research allows attorneys to: Perform sophisticated legal research using agentic workflows that mirror real‑world legal reasoning Receive structured, verifiable responses grounded in Thomson Reuters data Streamline research processes while maintaining rigorous quality and accuracy standards Work entirely within Robinson+Cole’s firm‑controlled AI environment  “Our integration of the Thomson Reuters’ Deep Research API with Newcode represents a defining moment in our AI strategy,” said Chief Data Officer Jim Merrifield. "We are incredibly proud to be the first firm to bring this capability to life—unlocking the power of trusted legal data directly within the workflows our lawyers and business professionals rely on every day. This is exactly how we maximize our technology investments: by connecting best-in-class data sources through APIs into a unified platform, so the technology meets our people where they work, enhances their judgment, and accelerates better outcomes for our clients.” Robinson+Cole’s AI program is guided by firmwide policies, mandatory training, and ongoing oversight to ensure responsible use of emerging technologies. The firm’s approach emphasizes measured adoption, strong information governance, and alignment with client expectations, rather than one‑off experimentation. This latest enhancement underscores Robinson+Cole’s commitment to remaining forward‑thinking in its use of technology, while ensuring that innovation serves the firm’s clients, lawyers, and long‑term strategic goals.

January 27, 2026

Jim Merrifield’s Elevation to Chief Data Officer Featured in Law360 Pulse

Law360 Pulse
December 1, 2025

Robinson+Cole Advances Innovation as First Am Law 200 Firm to Partner with Newcode.ai in United States

Firm showcases innovative agentic AI solution in firmwide program with Newcode.ai CEO Maged Helmy
Robinson+Cole Advances Innovation as First Am Law 200 Firm to Partner with Newcode.ai in United States teaser
April 6, 2026

Robinson+Cole Integrates Thomson Reuters’ Deep Research into Newcode.ai Platform to Advance Secure, Verifiable Legal Research

Robinson+Cole has expanded its firmwide artificial intelligence (AI) capabilities by integrating Thomson Reuters’ Deep Research directly into Newcode.ai, the agentic AI platform implemented last year by the firm to support legal workflows across practices. With this integration, Robinson+Cole is one of only two law firms with direct access to the Deep Research API—and the only firm deploying it through Newcode.ai. Building on its 2025 partnership with Newcode.ai —making Robinson+Cole the first Am Law 200 firm to adopt the platform—the firm has continued to expand its AI capabilities as part of a broader strategy focused on secure deployment, ethical use, and seamless integration into daily legal work. The integration enables Robinson+Cole attorneys to conduct complex, multi‑step legal research and receive verifiable, citation‑backed responses grounded in trusted Thomson Reuters content. By embedding Deep Research into Newcode.ai, Robinson+Cole continues to build on its deliberate, governance‑first approach to AI adoption while delivering meaningful, practice‑ready innovation for its lawyers and clients. “Innovation at Robinson+Cole is grounded in client service, security, and practicality,” said J. Michael Wirvin, Managing Partner of Robinson+Cole. “By incorporating Thomson Reuters’ Deep Research directly into Newcode.ai, we are providing our lawyers with advanced research capabilities in a secure environment fully controlled by the firm that aligns with our standards for data governance, accuracy, and responsible AI use. This integration reflects our continued focus on adopting technology thoughtfully to support our attorneys and deliver value to our clients.” The addition of Deep Research allows attorneys to: Perform sophisticated legal research using agentic workflows that mirror real‑world legal reasoning Receive structured, verifiable responses grounded in Thomson Reuters data Streamline research processes while maintaining rigorous quality and accuracy standards Work entirely within Robinson+Cole’s firm‑controlled AI environment  “Our integration of the Thomson Reuters’ Deep Research API with Newcode represents a defining moment in our AI strategy,” said Chief Data Officer Jim Merrifield. "We are incredibly proud to be the first firm to bring this capability to life—unlocking the power of trusted legal data directly within the workflows our lawyers and business professionals rely on every day. This is exactly how we maximize our technology investments: by connecting best-in-class data sources through APIs into a unified platform, so the technology meets our people where they work, enhances their judgment, and accelerates better outcomes for our clients.” Robinson+Cole’s AI program is guided by firmwide policies, mandatory training, and ongoing oversight to ensure responsible use of emerging technologies. The firm’s approach emphasizes measured adoption, strong information governance, and alignment with client expectations, rather than one‑off experimentation. This latest enhancement underscores Robinson+Cole’s commitment to remaining forward‑thinking in its use of technology, while ensuring that innovation serves the firm’s clients, lawyers, and long‑term strategic goals.

January 27, 2026

Jim Merrifield’s Elevation to Chief Data Officer Featured in Law360 Pulse

Law360 Pulse
December 1, 2025

Robinson+Cole Advances Innovation as First Am Law 200 Firm to Partner with Newcode.ai in United States

Firm showcases innovative agentic AI solution in firmwide program with Newcode.ai CEO Maged Helmy
Robinson+Cole Advances Innovation as First Am Law 200 Firm to Partner with Newcode.ai in United States teaser
February 19, 2025

Jim Merrifield Co-Authors AI Impact on Information Governance Whitepaper for Iron Mountain

Iron Mountain
February 11, 2025

Jim Merrifield Authors Article on Importance of CIO-CMO Relationship to Implement Ethical AI

Hartford Business Journal
January 3, 2025

Kathryn Rattigan and Jim Merrifield Author Article on Unprecedented Challenges in Information Governance for Law Firms

New York Law Journal
December 20, 2024

Jim Merrifield Quoted in Genie AI’s 2024 Legal Artificial Intelligence Retrospective on Law Firm Implementation

Genie AI
July 10, 2024

Jim Merrifield Elected Chair of ARMA International’s Board of Directors

ARMA International
June 11, 2024

Jim Merrifield Authors iQ Magazine Article Highlighting the Next Frontier in Information Governance

iQ Magazine

February 19, 2025

Jim Merrifield Co-Authors AI Impact on Information Governance Whitepaper for Iron Mountain

Iron Mountain
February 11, 2025

Jim Merrifield Authors Article on Importance of CIO-CMO Relationship to Implement Ethical AI

Hartford Business Journal
January 3, 2025

Kathryn Rattigan and Jim Merrifield Author Article on Unprecedented Challenges in Information Governance for Law Firms

New York Law Journal
December 20, 2024

Jim Merrifield Quoted in Genie AI’s 2024 Legal Artificial Intelligence Retrospective on Law Firm Implementation

Genie AI
July 10, 2024

Jim Merrifield Elected Chair of ARMA International’s Board of Directors

ARMA International
June 11, 2024

Jim Merrifield Authors iQ Magazine Article Highlighting the Next Frontier in Information Governance

iQ Magazine

Events


Past

InfoNEXT Launch: Pursuing the Why

Apr 20 2026
Sheraton Grand at Wild Horse Pass, 5594 West Wild Horse Pass Boulevard, Chandler, AZ 85226
Past

Unlocking the Power of Information Governance: Essentials for Legal Professionals

Mar 9 2026
Law.com Legalweek 2026
Past

InfoNEXT Launch: Pursuing the Why

Apr 20 2026
Sheraton Grand at Wild Horse Pass, 5594 West Wild Horse Pass Boulevard, Chandler, AZ 85226
Past

Unlocking the Power of Information Governance: Essentials for Legal Professionals

Mar 9 2026
Law.com Legalweek 2026
Past

Empowering Federal Records Managers: Unlocking the Strategic Value of Information Governance

Feb 26 2026
ARMA Public Sector InfoGov Summit 2026
Past

What’s in a Name? Defining C-Level Information Governance Leader of Tomorrow

Oct 20 2025
ARMA International INFOCON 2025
Past

Unlocking Business Value: Transforming Information Governance in the Age of Agentic AI

Sep 18 2025
ARMA Keystone, PA Chapter Virtual Meeting
Past

What’s in a Name? Defining the C-Level Information Governance Leader of Tomorrow

Aug 13 2025
ILTACON2025
Past

Empowering Federal Records Managers: Unlocking the Strategic Value of Information Governance

Feb 26 2026
ARMA Public Sector InfoGov Summit 2026
Past

What’s in a Name? Defining C-Level Information Governance Leader of Tomorrow

Oct 20 2025
ARMA International INFOCON 2025
Past

Unlocking Business Value: Transforming Information Governance in the Age of Agentic AI

Sep 18 2025
ARMA Keystone, PA Chapter Virtual Meeting
Past

What’s in a Name? Defining the C-Level Information Governance Leader of Tomorrow

Aug 13 2025
ILTACON2025

Data Privacy + Cybersecurity Insider


Below is an excerpt of Data Privacy + Cybersecurity Insider blog posts authored by Jim.

The State of AI: Key Insights from the 2026 Leadership Survey

AI hype is everywhere. The 15th Annual AI & Data Leadership Executive Benchmark Survey, shows what nearly 110 Fortune 1000 companies and global brands are actually doing with AI. Once a future bet, AI is now a business mandate, and most companies are already seeing results. Investment is essentially universal with an overwhelming 99.1% of surveyed leaders say data and AI are a top organizational priority, and 90.9% are increasing their level of investment. Executives also connect the AI boom to a renewed focus on fundamentals, with 92.7% saying intensified AI interest is driving stronger attention to data. Leadership models are tightening as AI scales. The Chief Data Officer (CDO) role is now standard, with 90% of companies reporting a CDO in place and nearly 70% describing the role as successful and well-established, up from 47.6% the prior year. Just as importantly, the CDO mandate has shifted toward growth, with 85.5% saying the role is focused on “offense,” meaning innovation and value creation, rather than primarily defensive or compliance work. At the same time, the Chief AI Officer (CAIO) role is emerging to formalize AI accountability. Roughly 38.5% of organizations now report a CAIO or equivalent, up from 33.1% last year. Reporting lines are still settling, but in most companies without a CAIO, AI leadership continues to sit with the CDO or Chief Digital and Artificial Intelligence Office function, which 69.1% say currently carries the remit. AI adoption has moved decisively from experiments to production. Two years ago, just 4.7% of firms reported AI in production at scale—this year, that figure is 39.1%. When added to the 54.5% running AI in limited production, 93.6% of organizations now have active AI capabilities in production, signaling that pilots are no longer the dominant mode. Value is showing up alongside deployment, with 97.3% of organizations report measurable business value from data and AI investments, and 54% say they are realizing a high or significant degree of value, improving on last year’s results and reinforcing that AI programs are increasingly tied to tangible outcomes. The biggest constraint is not the technology, it is the human side of transformation. A record 93.2% of executives cite cultural challenges and change management as the top barrier to AI success. The work that slows companies down is shifting processes, building skills, changing decision habits, and creating an environment where teams trust data and adopt new ways of working. Looking forward, leaders view AI as a once-in-a-generation shift. Almost 83% believe AI is likely to be the most transformational technology in a generation. Governance is rising with the stakes, with nearly 80% naming Responsible AI as a top corporate priority and 88.7% saying they have safeguards and guardrails in place. The takeaway is simple and urgent—the “should we invest” era is over. The winners will be the organizations that align leadership, operating models, culture, and governance fast enough to convert rapidly expanding adoption into sustained business value.

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Recap of the Top Read Blog Posts in 2025

Happy New Year! 2025 was a busy year for the Insider authors—we published 271 posts throughout 2025. To kick-off 2026, in case you missed them last year, we are providing the articles from 2025 that were the most interesting to our readers across various categories. We hope you enjoy them and look forward to another productive year of keeping our readers informed on the rapidly changing and dynamic areas of data privacy, cybersecurity, information governance, artificial intelligence, and of course—the weekly Privacy Tip! CYBERSECURITY FBI Warns of Account Takeover Fraud Insider Threats Climb + Are Costly ENFORCEMENT + LITIGATION EdTech and Privacy of Student Information: A Case Study Breaches Within Breaches: Contractual Obligations After a Security Incident DATA PRIVACY Privacy Under Pressure: What the NYT v. OpenAI Teaches Us About Data Governance New State Privacy Laws Expand Consumer Data Control in 2026 INFORMATION GOVERNANCE Why Dumping Sensitive Data on Network Shares is a Liability ARTIFICAL INTELLIGENCE When AI Notetakers Take the Stand: The Legal Risks Lurking in Your Virtual Meetings PRIVACY TIPS Privacy Tip #431 – DOGE Has Access to Our Personal Information: What You Need to Know Privacy Tip #7 – Who is listening to your conversations through your smartphone microphone?

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Whitepaper Review: From Rules to Reflex—Transforming Information Governance into a Cultural Value

Having spent years helping organizations grapple with the realities of information governance (IG), I was drawn to ARMA International’s whitepaper, “From Rules to Reflex: Transforming IG into a Cultural Value,” to see how it tackled our field’s most persistent obstacle: culture. It’s almost a rite of passage in IG to be baffled by how, despite the explosion of data and sophisticated new technologies, our discipline continues to fly below the radar—underfunded and misunderstood. That same frustration leaps off the page in ARMA’s opening, with the paper highlighting that, even as data becomes more central to organizational success, IG often remains an afterthought. The authors argue that the roadblock isn’t a lack of knowledge or policy—it’s that IG hasn’t been woven deeply enough into the organizational fabric to become a natural reflex, rather than a forced rule. This rings true with my own experience; no policy, no matter how clear, survives without cultural buy-in. I was particularly struck by the whitepaper’s insight that most organizations treat information like invisible plumbing—only noticed when something breaks. I’ve witnessed this firsthand, when projects are only prioritized after a crisis, or when colleagues expect the “system” to absorb any mistake. The report draws out this analogy elegantly, noting that today’s information systems are far more complex and therefore much more fragile. Addressing IG as if it’s merely a matter of compliance signage—“Don’t flush garbage!”—simply doesn’t cut it anymore. True transformation must address underlying habits, values, and shared beliefs, just as in any effort that leads to lasting change. What felt refreshingly honest in the review was the focus on the “holy grail” of IG: making good governance not something we’re compelled to do, but simply part of how we work—a reflex rooted in organizational values. I’ve learned that unless we reach this state, IG professionals will always be on the defensive, trying to justify their existence or police their colleagues. Instead, as the whitepaper confirms, organizations flourish when IG becomes an intuitive part of decision-making, aligned with mission and ethics instead of being perceived as an external requirement. One of the paper’s major themes, and one I’ve often found to be the ultimate difference-maker, is relationship building. I’ve always believed you accomplish more through a network of allies than by enforcing rules from afar. The whitepaper underlines this: effective relationship management, the human side of the profession, is where IG efforts succeed or fail. Listening, showing up for stakeholders, and building trust form the foundation for any real cultural change. It was validating to see the experiences of so many fellow InfoNEXT participants and authors echo this lesson. Demonstrating the value of IG—in terms others care about—was another highlight. The paper cautions us against falling back on dry compliance messaging; instead, we are encouraged to tailor the IG story to what people and organizations actually value. I’ve seen how citing faster audits can get finance’s attention, while reducing friction resonates with operations. Aligning IG with the organization’s deepest priorities is the surest way to elevate it from a burdensome “must-do” to a strategic enabler. The challenges of change management are laid out with an honesty IG professionals will recognize. The high rate of failure in change initiatives (upwards of 70%, according to research) underscores why surface-level rule changes so rarely stick. The whitepaper reminded me that patience, empathy, and incremental progress are vital. It’s a marathon—a truth I’ve had to relearn many times. Real change happens when we address underlying beliefs and build buy-in slowly, celebrating small wins and learning from setbacks. Another theme that resonated was distributed leadership. As much as executive sponsorship helps, I’ve consistently seen that real cultural change depends on champions at every level—those who quietly lead by aligning IG with what their teams care about. The whitepaper’s take is that leadership is less about formal power, and more about enabling others—a philosophy I share. Education and shared language are also essential. Even among IG, IT, and legal colleagues, I’ve witnessed wildly divergent definitions of basic concepts, leading to confusion or even conflict. The whitepaper urges us to go beyond vocabulary, cultivating a mutual understanding rooted in shared values and tailored communication. Helping our colleagues understand not just the “what” but the “why” of IG is crucial. Crucially, the paper provides practical tactics—co-creating solutions with stakeholders, aligning IG with organizational values, making it easier to do the right thing than the wrong, and celebrating even modest progress. I found myself nodding along at stories from practitioners who built momentum by simply being helpful, using empathy as a strategic tool, and recognizing the effort to embed IG into daily routines. These small steps, repeated consistently, eventually tip the scales from performative compliance to true value-driven behavior. Finally, as someone passionate about the intersection of ethics, technology, and information policy, I appreciated the paper’s attention to AI, privacy, and the ethical foundations of IG. Technology is a driver of cultural change but also presents new risks. IG’s focus on accountability and transparency will only become more vital as organizations navigate automation and new regulatory landscapes. To me, the call to make IG a core part of “who we are” is both inspiring and entirely necessary in this era of digital transformation. In short, “From Rules to Reflex” is a much-needed reminder that the journey to mature information governance is fundamentally human. It’s about relationships, shared stories, and persistent effort far more than technical expertise or legal mandates. The paper’s practical guidance—prioritizing culture alongside compliance, building alliances, and celebrating progress—should be required reading for professionals at every stage of the IG journey. As it notes, the path is gradual and often imperfect, but the reward is an organizational culture where IG isn’t a speed bump but the engine of resilience, innovation, and trust. That’s a vision I’m proud to support, and one I strive to advance with every project and client. Key practitioner takeaways: Commit to cultural change as much as compliance—transformation demands both. Build authentic relationships—trust is the foundation of every successful IG initiative. Leadership at all levels and clear, values-based communication matter more than job titles. Seek small wins and share credit—success is incremental and collective. Keep IG’s ethical mission front and center as technology and data complexity accelerate. Download a copy of the ARMA Whitepaper here.

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Mastering Information Governance with the ARMA IGIM 2.1 Framework – Part 4: Sustaining and Evolving IG Practices

Finally, after providing the building blocks for strong Information Governance (IG) programs and operationalizing that framework, we discuss how to sustain your IG program in the last part of the series. An effective IG program powered by the ARMA IGIM framework isn’t static. To remain relevant in an AI-driven world, it must be scalable, adaptable, and future-proof. Three domains are critical here: Architecture Infrastructure Continuous Improvement 1. Strengthening Architecture Your information and technology architecture are the structural foundation for both IG and AI tools. Integration between systems of record and systems of engagement is key to maintaining data quality and accessibility. Key for AI Adoption:High-quality architecture supports real-time AI applications like predictive analytics by ensuring the latest data is always available. Example: A logistics company improved delivery route optimization using an AI-powered tool. By standardizing taxonomy across data platforms, drivers received accurate real-time recommendations powered by up-to-date information. 2. Building Resilient Infrastructure Infrastructure ensures that your IG program has the technological underpinnings needed to scale AI initiatives. Key for AI Adoption:Cloud-based storage solutions offer scalability for large training datasets, while encryption and robust APIs ensure those datasets remain secure. Actionable Tip: Invest in automated tools to monitor both IG program performance and AI algorithm accuracy. 3. Continuous Improvement AI tools and data environments are constantly evolving, requiring continuous updates to your IG practices to ensure alignment. Key for AI Adoption:A regular review cycle ensures AI tools remain effective when regulations change, or business needs evolve. Actionable Tip: Schedule bi-annual program reviews to assess shifts in regulatory requirements or advancements in AI capabilities, and adjust IG policies accordingly. By understanding how Architecture and Infrastructure fuel IG and AI success, your organization will stay competitive in an AI-driven future. What can you do now? Conduct an infrastructure audit to ensure your current technology can support scalable AI solutions. Series Wrap-Up The ARMA IGIM 2.1 framework does more than streamline governance; it enables the technologies of tomorrow. By adopting strong IG practices you: Create a data foundation ready for AI-powered insights. Build trust, efficiency, and reliability into your operations. Maximize business value from cutting-edge tools. Take the first step in transforming your organization’s approach to information governance today, and unlock the full potential of AI innovation.

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Mastering Information Governance with the ARMA IGIM 2.1 Framework – Part 3: Operationalizing the Framework

Last week, we outlined the building blocks for a strong IG program. Now that you’ve laid the groundwork, it’s time to bring your IG program to life. The ARMA IGIM framework emphasizes operational execution in three key areas: Procedural Framework Capabilities Information Lifecycle These domains are where your framework tangibly interacts with AI systems, ensuring tools like machine learning models work with clean, structured data. 1. Procedural Framework Your Procedural Framework establishes consistent policies, roles, and accountability measures. For AI, having standardized processes ensures that models produce reliable outputs. Key for AI Adoption:Without uniform procedures, AI systems can misinterpret data. For example, inconsistent naming conventions in datasets can skew analytics or predictions. Actionable Tip: Create a policy requiring metadata tagging for all incoming data to improve accessibility for AI models. 2. Capabilities Capabilities refer to the tools and technologies that power your IG program. AI tools are only as good as the systems they connect with. Key for AI Adoption:Role-based access controls prevent sensitive data from being used irresponsibly in AI training, while metadata management enhances the searchability of training datasets. Example: A retail company equipped its e-commerce platform with AI product recommendations. By integrating IGIM-driven policies on access control and metadata, they ensured only accurate, permissible data informed the algorithms. 3. Information Lifecycle AI relies on data that evolves through its lifecycle—from creation to disposition. The Information Lifecycle ensures that outdated or incorrect data doesn’t compromise AI tools. Key for AI Adoption:By defining retention schedules, organizations ensure AI models are trained on relevant data, reducing errors and increasing trust in outputs. Next week, we’ll discuss how to sustain your IG program, enabling continuous innovation with AI. What can you do now? Make sure that your data policies, tools, and lifecycle management strategies are aligned to support your AI-driven initiatives.

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Mastering Information Governance with the ARMA IGIM 2.1 Framework: Part 2 – Building the Foundation

Last week, we introduced you to the ARMA IGIM Framework. What’s next? Every successful Information Governance (IG) program starts with a strong base. The ARMA IGIM framework outlines three critical building blocks: Steering Committee Authorities Support Functions Implementing these foundational pieces not only gets your IG program off the ground but also creates a system where artificial intelligence (AI) tools can thrive. 1. Forming a Steering Committee An effective Steering Committee ensures that your IG program has direction, accountability, and cross-functional collaboration. Including representatives from IT, Legal, Privacy, and Compliance ensures diverse perspectives and safeguards alignment with organizational goals. Key for AI Adoption:A cross-functional Steering Committee ensures your AI initiatives don’t operate in silos. For example, while the IT team oversees AI tools, Legal ensures adherence to privacy laws, preventing risks related to automated decision-making. Actionable Tip: Assign an AI-focused subcommittee to oversee how governance policies interact with algorithmic applications. 2. Understanding Authorities Clear Authorities, such as internal policies and external regulations, guide AI initiatives responsibly. Policies must address AI-specific issues like ethical data use, bias mitigation, and legal compliance. Key for AI Adoption:Organizations can confidently deploy AI when they know their tools and models comply with data regulations (e.g., GDPR or CCPA). Structured Authorities build the trust needed for employees and stakeholders to adopt AI-powered processes. 3. Activating Support Functions Support Functions like training, project management, and communications are essential for building both an IG program and an AI-ready culture. Key for AI Adoption:Train employees not only on IG principles but also on effectively using and understanding AI tools. An educated workforce handles AI outputs responsibly, avoiding misuse or confusion. Example in Action: A health care provider formed a Steering Committee to integrate an AI tool for patient scheduling. By aligning IG policies, they ensured the tool used anonymized data and complied with HIPAA, boosting efficiency without risking non-compliance. Next week, we’ll explore operationalizing your IG program and how it empowers AI to deliver valuable business insights. What can you do now? Host a workshop with your Steering Committee to map out how your IG policies can enable AI initiatives.

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Mastering Information Governance with the ARMA IGIM 2.1 Framework Part 1: Introduction to the ARMA IGIM Framework

Today, organizations face unprecedented data challenges. The sheer volume of information, evolving regulations, and the rising momentum of artificial intelligence (AI) revolutionizing industries make it clear that information governance (IG) is not optional. The ARMA IGIM 2.1 framework provides organizations with a practical, structured approach to manage data effectively, enabling them to meet these challenges head-on. The IGIM Framework and Its Importance At its core, the IGIM framework breaks down IG into eight domains: Steering Committee Authorities Support Functions Procedural Framework Capabilities Information Lifecycle Architecture Infrastructure These eight domains work to ensure that every piece of information within your organization is secure and usable throughout its lifecycle. Adopting IGIM benefits organizations by streamlining workflows, reducing compliance risks, and increasing operational efficiency. But the advantages don’t end there. Why IG is Indispensable for AI Adoption AI thrives on high-quality, well-governed data. AI tools rely on accurate, accessible, and structured information to generate actionable insights. Without a proper IG framework, organizations often struggle with: Data Silos: Making it difficult to consolidate or analyze data. Dirty Data: Leading to inaccurate AI outputs. Compliance Risks: Exposing organizations to penalties from data misuse. By establishing effective governance practices, organizations create the foundation needed for AI to optimally perform. For example, banks using the IGIM framework to organize customer data see faster AI-driven credit risk assessments because the information is clean, structured, and easily retrievable. Through this series, you’ll discover how the IGIM framework enables not only effective governance but also maximizes the value of AI investments. Next week, we’ll discuss laying the foundation for your IG program. What can you do now? Assess your current data governance practices and consider how well-structured data could drive your AI initiative forward.

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Why Dumping Sensitive Data on Network Shares is a Liability

Are you storing sensitive data on a shared network drive? If so, your organization could be at serious risk of a data breach or privacy lawsuit. Shared drives, like the common “S:\ drive,” are often used to store documents, spreadsheets, customer information, financial records, and even scanned IDs. But here’s the problem: these network shares are rarely encrypted, lack clear data governance policies, and are accessible to dozens—or even hundreds—of employees across different departments. Without proper oversight, unsecured network drives become a data security nightmare. Don’t let poor information governance put your business at risk; take the time to learn why securing sensitive data on shared drives is critical for avoiding data breaches, maintaining compliance with privacy laws, and safeguarding your company’s reputation. In today’s environment of rapidly expanding state consumer privacy laws and data breach notification statutes, companies that fail to control where sensitive data lives are sitting on serious legal and reputational risk. Here’s what you need to know—and why unsecured network shares are no longer just an IT headache. It’s a legal liability. The Rise of State Privacy Laws: More Than Just California Most people know about California’s Consumer Privacy Act/Consumer Privacy Rights Act, but it’s far from alone. As of 2025, over a dozen states have passed their own consumer privacy laws—including Colorado, Connecticut, Utah, Virginia, Texas, Florida, Oregon, and others. Here’s what these state privacy laws typically grant consumers: The right to know what personal data companies collect. The right to access or delete their personal data. The right to opt-out of data sales or targeted advertising. The expectation that their data will be securely protected. “Reasonably protected” sounds vague, but it’s increasingly being interpreted to mean basic security practices—like encryption, access controls, and data governance. Storing Social Security numbers or financial info in an unprotected shared drive with no audit trail? That’s not going to fly. Data Breach Notification Laws: 50 States, 50 Triggers Every U.S. state has its own data breach notification law, and many have recently updated them. These laws require businesses to notify affected consumers—and sometimes regulators—when certain types of personal information are accessed or acquired without authorization. The trigger? Often, it’s exposure of unencrypted data such as: Social Security numbers Driver’s license numbers; Financial account or credit card numbers; and Health records. Why Network Shares are High-Risk If that data lives on an unsecured network share, accessible by anyone on the network—or worse, breached by an outsider—you may have a legal duty to notify, and fast. Shared network drives are a leftover from a simpler time. They often: Lack encryption, either at rest or in transit. Have overly broad access (e.g., “Everyone in Finance” means everyone). Are unmanaged—no one monitors what’s stored, for how long, or by whom. Become digital junk drawers: you name it, someone’s dumped it there. In short, they’re a soft target for internal mishandling or external breaches. Even if no breach has occurred yet, regulators may still view careless storage as a failure to implement reasonable security measures, something required by many state laws (and by the FTC under its enforcement of Section 5 for unfair practices). Real World Risk: Enforcement and Lawsuits Let’s connect the dots: A former employee downloads a folder full of unencrypted spreadsheets with customer data from a shared drive and walks out the door. A ransomware attacker gains access to your network and hits a file share containing years’ worth of sensitive HR or payroll data. A privacy audit reveals that your network share is a free-for-all and your company never implemented access logs or retention policies. In each case, you’re potentially looking at: Mandatory breach notifications; Fines from state attorneys general; Consumer lawsuits, including class actions; and Reputational damage, especially if the exposure goes public. What You Can Do Now The good news? Much of this risk is preventable. Here are some practical steps: Encrypt sensitive data at rest and in transit. Don’t assume your internal network is a safe zone. Limit access based on role or need-to-know. Broad group permissions are a red flag. Inventory your data. You can’t protect what you don’t know you have. Establish a governance policy. Set clear rules about what data can be stored, where, and for how long. Clean up legacy shares. Archive or securely delete outdated files, especially ones with sensitive info. Train employees. They need to know that dumping sensitive info into a shared folder is no longer acceptable. State privacy laws are becoming more aggressive, and regulators are increasingly focused on where and how companies store consumer data, not just how they use it. An old network share with no encryption, no oversight, and no purpose may seem like low-hanging fruit from a compliance perspective, but it’s exactly the kind of vulnerability that can turn into a legal firestorm. If your organization hasn’t taken a hard look at its shared storage practices lately, now is the time. Because in the age of modern data privacy laws, “we didn’t know it was there” is no longer a defense.

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Navigating the AI Frontier: Why Information Governance Matters More Than Ever

Artificial Intelligence (AI) is rapidly transforming the legal landscape, offering unprecedented opportunities for efficiency and innovation. However, this powerful technology also introduces new challenges to established information governance (IG) processes. Ignoring these challenges can lead to significant risks, including data breaches, compliance violations, and reputational damage. “AI Considerations for Information Governance Processes,” a recent paper published by Iron Mountain, delves into these critical considerations, providing a framework for law firms and legal departments to adapt their IG strategies for the age of AI. Key Takeaways: AI Amplifies Existing IG Risks: AI tools, especially machine learning algorithms, often require access to and process vast amounts of sensitive data to function effectively. This makes robust data security, privacy measures, and strong information governance (IG) frameworks absolutely paramount. Any existing vulnerabilities or weaknesses in your current IG framework can be significantly amplified by the introduction and use of AI, potentially leading to data breaches, privacy violations, and regulatory non-compliance. Data Lifecycle Management is Crucial: From the initial data ingestion and collection stage, through data processing, storage, and analysis, all the way to data archival or disposal, a comprehensive understanding and careful management of the AI’s entire data lifecycle is essential for maintaining data integrity and ensuring compliance. This includes knowing exactly how data is used for training AI models, for analysis and generating insights, and for any other purposes within the AI system. Vendor Due Diligence is Non-Negotiable: If you’re considering using third-party AI vendors or cloud-based AI services, conducting rigorous due diligence on these vendors is non-negotiable. This due diligence should focus heavily on evaluating their data security practices, their compliance with relevant industry standards and certifications, and their contractual obligations and guarantees regarding data protection and privacy. Transparency and Explainability are Key: “Black box” AI systems that make decisions without any transparency or explainability can pose significant risks. It’s crucial to understand how AI algorithms make decisions, especially those that impact individuals, to ensure fairness, accuracy, non-discrimination, and compliance with ethical guidelines and legal requirements. This often requires techniques like model interpretability and explainable AI. Proactive Policy Development is Essential: Organizations need to proactively develop clear policies, procedures, and guidelines for AI usage within their specific context. These should address critical issues such as data access and authorization controls, data retention and storage policies, data disposal and deletion protocols, as well as model training, validation, and monitoring practices. The Time to Act is Now: AI is not a future concern; it’s a present reality. Law firms and legal departments must proactively adapt their information governance processes to mitigate the risks associated with AI and unlock its full potential.

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The CIO-CMO Collaboration: Powering Ethical AI and Customer Engagement

The rapid advancement of artificial intelligence (AI) technologies is reshaping the corporate landscape, offering unparalleled opportunities to enhance customer experiences and streamline operations. At the intersection of this digital transformation lie two key executives—the Chief Information Officer (CIO) and the Chief Marketing Officer (CMO). This dynamic duo, when aligned, can drive ethical AI adoption, ensure compliance, and foster personalized customer engagement powered by innovation and responsibility. This blog explores how the collaboration between CIOs and CMOs is essential in balancing ethical AI implementations with compelling customer experiences. From data governance to technology infrastructure and cybersecurity, below is a breakdown of the critical aspects of this partnership and why organizations must align these roles to remain competitive in the AI-driven world. Understanding Ethical AI: Balancing Innovation with Responsibility Ethical AI isn’t just a buzzword; it’s a guiding principle that ensures AI solutions respect user privacy, avoid bias, and operate transparently. To create meaningful customer experiences while addressing the societal concerns surrounding AI, CIOs, and CMOs must collaborate to design AI applications that are innovative and responsible. CMOs focus on delivering dynamic, real-time, and personalized interactions to meet rising customer expectations. However, achieving this requires vast amounts of personal data, potentially risking violations of privacy regulations like the General Data Protection Regulation and the California Consumer Privacy Act. Enter the CIO, who ensures the technical infrastructure adheres to these laws while safeguarding the organization’s reputation. Together, the CIO and CMO can delicately balance between leveraging AI for customer engagement and adhering to responsible AI practices. The Role of Data Governance in AI-Driven Strategies Data governance is the backbone of ethical AI and compelling customer engagement. CMOs rely on customer data to craft hyper-personalized campaigns, while CIOs are charged with maintaining that data’s the security, accuracy, and ethical usage. Without proper governance, organizations risk breaches, regulatory fines, and, perhaps most damagingly, a loss of trust among consumers. Collaboration between CIOs and CMOs is necessary to establish clear data management protocols; this includes ensuring that all collected data is anonymized as needed, securely stored, and utilized in compliance with emerging AI content labeling regulations. The result is a transparent system that reassures customers and consistently delivers high-quality experiences. Robust Technology Infrastructure for AI-Powered Customer Engagement For AI to deliver on its promise of customer engagement, organizations require scalable, secure, and agile technology infrastructure. A close alignment between CIOs and CMOs ensures that marketing campaigns are supported by IT systems capable of handling diverse AI workloads. Platforms driven by machine learning and big data analytics allow marketing teams to create real-time, omnichannel campaigns. Meanwhile, CIOs ensure these platforms integrate seamlessly into the organization’s technology stack without sacrificing security or performance. This partnership allows marketers to focus on innovative strategies while IT supports them with reliable and forward-thinking infrastructure. Cybersecurity Challenges and the Integrated Approach of CIOs and CMOs Customer engagement strategies powered by AI rely heavily on consumer trust, but cybersecurity threats lurk around every corner. According to Palo Alto Networks’ predictions, customer data is central to modern marketing initiatives. However, without an early alignment between CIOs and CMOs, the organization is exposed to risks like data breaches, compliance violations, and AI-related controversies. A proactive collaboration between CIOs and CMOs ensures that potential vulnerabilities are identified and mitigated before they evolve into full-blown crises. Measures such as end-to-end data encryption, regular cybersecurity audits, and robust AI content labeling policies can protect the organization’s digital assets and reputation. This integrated approach enables businesses to foster lasting customer trust in a world of increasingly sophisticated cyber threats. Case Studies: Successful CIO-CMO Collaborations Case Study 1: A Retail Giant’s TransformationOne of the world’s largest retail chains successfully transformed its customer experience through the CIO-CMO collaboration. The CIO rolled out a scalable AI-driven recommendation engine, while the CMO used this tool to craft personalized shopping experiences. The result? A 35% increase in customer retention within a year and significant growth in lifetime customer value. Case Study 2: Financial Services LeaderA financial services firm adopted an AI-powered chatbot to enhance its customer service. The CIO ensured compliance with strict financial regulations, while the CMO leveraged customer insights to refine the chatbot’s conversational design. Together, they created a seamless, trustworthy digital service channel that improved customer satisfaction scores by 28%. These examples reinforce the advantages of partnership. By uniting their expertise, CIOs and CMOs deliver next-generation strategies that drive measurable business outcomes. Future Trends in AI, Compliance, and Executive Collaboration The evolving landscape of AI, compliance, and customer engagement is reshaping the roles of CIOs and CMOs. Here are a few trends to watch for in the coming years: AI Transparency: Regulations will increasingly require companies to disclose how AI models were trained and how customer data is used. Alignment between CIOs and CMOs will be vital in meeting these demands without derailing marketing campaigns. Hyper-Personalization: Advances in machine learning will allow marketers to offer even more granular personalization, but this will require sophisticated data-centric systems designed by CIOs. AI Content Labeling: From machine-generated text to synthetic media, organizations must adopt clear labeling practices to distinguish between AI-driven and human-generated content. By staying ahead of these trends, organizations can cement themselves as leaders in ethical AI and customer engagement. Forging a Path to Sustainable AI Innovation The digital transformation of business will continue to deepen the interconnected roles of the CIO and CMO. These two leaders occupy the dual pillars required for success in the AI era—technology prowess and customer-centric creativity. By aligning their goals and strategies early on, they can power ethical AI innovation, ensure compliance, and elevate customer experiences to new heights.

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Navigating the Future: Generative AI and Information Governance in 2025

Generative Artificial Intelligence (Gen AI) is transforming industries at an unprecedented pace, unlocking new possibilities in automation, creativity, and problem-solving. However, as we look toward 2025, the success and sustainability of Gen AI will depend on one critical element: information governance. Governance frameworks will provide the foundation for ethical AI development and ensure compliance, accountability, and collaboration in a rapidly evolving AI landscape. Without these frameworks, the potential of Gen AI could be overshadowed by risks such as data misuse, algorithmic bias, and regulatory challenges. Below are five key predictions about how information governance will shape Gen AI projects in 2025. 1. Increased Emphasis on Ethical AI The conversation around ethical AI is growing louder, with concerns about bias, discrimination, and lack of accountability taking center stage. By 2025, ethical AI will no longer be an optional feature for organizations—it will become a core requirement. Information governance frameworks will be crucial in defining and implementing guidelines for the ethical use of data and developing AI models. These guidelines will ensure that AI systems are fair, transparent, and aligned with societal values, reducing the risk of reputational harm, public backlash, or hefty regulatory fines. Organizations must prioritize fairness audits, explainability protocols, and inclusivity metrics to keep their AI systems in line with ethical standards. Ethical AI will require ongoing oversight and a shift in mindset, treating governance as an enabler of trust rather than a bureaucratic hurdle. 2. Transformative Role of Data Management Gen AI thrives on vast, high-quality datasets, making data management more critical than ever. As datasets grow in scale and complexity, information governance will take center stage in ensuring proper data collection, storage, and usage. Organizations will need strong governance strategies to maintain data integrity, prevent bias, and mitigate risks like data breaches, misuse, or non-compliance. In 2025, expect to see advancements in data labeling, cleaning technologies, and privacy-preserving methods like differential privacy and federated learning. These innovations will enhance AI model performance while safeguarding sensitive information. Additionally, organizations must implement robust data retention policies, ensuring they only store what is needed while meeting legal and ethical obligations for data disposal. By placing data management at the heart of AI projects, businesses can make smarter, safer, and more impactful use of their data. 3. The Rise of Regulatory Technologies The regulatory environment for AI continues to intensify with the introduction of new data privacy laws and accountability frameworks worldwide. From GDPR and CCPA to AI-specific legislation in regions like the EU, navigating compliance will become increasingly complex by 2025. This will lead to a rise in regulatory technologies (RegTech) designed to automate compliance tasks and streamline information governance processes. These tools will integrate directly into AI development workflows, enabling organizations to monitor data usage, track model decisions, and ensure adherence to global data protection laws. RegTech solutions will also be critical in generating real-time insights into compliance risks, helping teams address issues proactively. As compliance becomes a key driver of AI adoption, companies that embrace these technologies will not only accelerate their AI deployments but also establish themselves as trusted leaders in the field. 4. Shifting Responsibilities in AI Development As information governance becomes more central to AI success, traditional roles in AI development will undergo significant changes. Teams must embrace a more collaborative approach, with compliance officers, data scientists, and developers working to ensure ethical data use and model transparency. Shared accountability will become the norm, with each stakeholder upholding governance standards at every stage of the AI lifecycle. For example, compliance officers must understand technical workflows, while developers must prioritize privacy and explainability in their code. Clear governance practices will help define these evolving roles, ensuring teams are aligned with technological goals and organizational objectives. Additionally, organizations will invest in cross-disciplinary training to bridge knowledge gaps and foster greater collaboration across departments. This shift will create a more cohesive and accountable AI development ecosystem that is better prepared to navigate the challenges of 2025. 5. Collaboration and Standardization Efforts The increasing complexity of governing AI will drive organizations to collaborate more closely across industries and sectors. By 2025, we’ll see a more significant push toward developing standardized governance frameworks, best practices, and shared tools that promote trust and transparency. Industry consortia, academic institutions, and regulatory bodies will collaborate to create unified guidelines, helping organizations navigate the fragmented regulatory landscape more effectively. Open-source initiatives will also play an important role, enabling organizations to share insights, frameworks, and technologies that address common governance challenges. These efforts will provide a clearer roadmap for responsible AI development and foster greater trust among consumers, investors, and regulators. Collaboration will be key to scaling AI systems in an ethical, compliant, and sustainable way. The Path Forward Gen AI in 2025 will face higher expectations for ethics, transparency, and compliance. As AI becomes more integrated into our daily lives, information governance will be the foundation for responsible and innovative development; organizations that fail to prioritize governance risk falling behind and face reputational damage or regulatory penalties. However, those who embrace robust governance practices will gain a strategic advantage by building AI systems that are trustworthy, efficient, and impactful. Whether you’re a compliance officer, a data scientist, or a software developer, integrating governance into your projects is no longer optional—it’s essential. The interplay between Gen AI and information governance will continue to evolve, requiring adaptability and proactive planning. By adopting strong governance frameworks today, organizations can ensure their AI projects flourish responsibly and sustainably in the years to come. Together, we can shape an AI-driven future that benefits everyone.

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The Risks of Excessive Data Retention and Tips for Information Security

In today’s digital age, our every action generates a trail of data. From online searches to credit card details, this data is collected by companies to enhance their services. However, the question arises – how long should this data be retained? Over-retention of data poses numerous risks, which individuals must be aware of to safeguard their information. In this blog post, we will explore the perils of data over-retention and provide tips on how to protect your personal data. Discover the importance of data retention policies and stay informed to protect your online safety. Cyber Attacks: The Risks of Over-Retention of Data Over-retention of data can make companies highly vulnerable to cyber-attacks. The more data a company possesses, the more attractive it becomes to hackers. Unauthorized access to a company’s servers can result in a complete breach of all data, jeopardizing the security of every client. To protect against such threats, individuals should limit the information shared with companies and require the use of strong passwords to safeguard personal data. Privacy Violation: Protecting Sensitive Information By retaining data, companies hold personal and sensitive information that individuals expect to keep private. Companies should adopt data retention policies that limit the amount of data stored, while individuals must employ encrypted devices and services to safeguard their personal information. Regularly updating privacy settings and carefully reviewing privacy policies before sharing personal data are crucial steps in maintaining privacy. Liability: Legal Consequences of Data Retention Companies that retain and provide third-party access to data without the client’s consent may face legal liability. Clients who suffer damages due to unauthorized data access can take legal action against the company. It is essential for companies to be aware of their legal obligations, while individuals should conduct regular audits to protect the security of their personal data. Data Breach: Protecting Against Security Breaches In recent years, high-profile data breaches have exposed the personal data of millions of individuals. Over-retention of data increases the risk of such breaches. Clients who trust companies with their data are left vulnerable to security breaches, identity theft, and cyberbullying when their data is leaked. Individuals should diligently monitor their accounts and promptly report any suspicious activity to mitigate these risks. Higher Maintenance Cost: The Financial Impact of Data Retention As data is retained for longer periods, companies face higher maintenance costs due to evolving regulations and policies. Compliance with data deletion requirements after a specified period can significantly raise operational costs and create financial setbacks for companies. It is crucial for companies to assess the risks and benefits of data retention to mitigate these financial implications. Over-retention of data poses significant risks for both companies and individuals. To ensure protection, companies should implement data retention strategies, prioritize cybersecurity practices, and fortify data against cyber-attacks. Individuals must be cautious of their digital footprint and limit the sharing of personal information. Utilizing encrypted devices and services, regularly updating privacy settings, and actively monitoring accounts are essential practices to maintain data privacy. By adopting good data hygiene practices, we can safeguard ourselves and reduce the risks associated with over-retention of data.

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Exploring the Future of Information Governance: Key Predictions for 2024

Information governance has evolved rapidly, with technology driving the pace of change. Looking ahead to 2024, we anticipate technology playing an even larger role in data management and protection. In this blog post, we’ll delve into the key predictions for information governance in 2024 and how they’ll impact businesses of all sizes. Embracing AI and Automation: Artificial intelligence and automation are revolutionizing industries, bringing about significant changes in information governance practices. Over the next few years, it is anticipated that an increasing number of companies will harness the power of AI and automation to drive efficient data analysis, classification, and management. This transformative approach will not only enhance risk identification and compliance but also streamline workflows and alleviate administrative burdens, leading to improved overall operational efficiency and effectiveness. As organizations adapt and embrace these technological advancements, they will be better equipped to navigate the evolving landscape of data governance and stay ahead in an increasingly competitive business environment. Prioritizing Data Privacy and Security: In recent years, data breaches and cyber-attacks have significantly increased concerns regarding the usage and protection of personal data. As we look ahead to 2024, the importance of data privacy and security will be paramount. This heightened emphasis is driven by regulatory measures such as the California Consumer Privacy Act (CCPA) and the European Union’s General Data Protection Regulation (GDPR). These regulations necessitate that businesses take proactive measures to protect sensitive data and provide transparency in their data practices. By doing so, businesses can instill trust in their customers and ensure the responsible handling of personal information. Fostering Collaboration Across Departments: In today’s rapidly evolving digital landscape, information governance has become a collective responsibility. Looking ahead to 2024, we can anticipate a significant shift towards closer collaboration between the legal, compliance, risk management, and IT departments. This collaborative effort aims to ensure comprehensive data management and robust protection practices across the entire organization. By adopting a holistic approach and providing cross-functional training, companies can empower their workforce to navigate the complexities of information governance with confidence, enabling them to make informed decisions and mitigate potential risks effectively. Embracing this collaborative mindset will be crucial for organizations to adapt and thrive in an increasingly data-driven world. Exploring Blockchain Technology: Blockchain technology, with its decentralized and immutable nature, has the tremendous potential to revolutionize information governance across industries. By 2024, as businesses continue to recognize the benefits, we can expect a significant increase in the adoption of blockchain for secure and transparent transaction ledgers. This transformative technology not only enhances data integrity but also mitigates the risks of tampering, ensuring trust and accountability in the digital age. With its ability to provide a robust and reliable framework for data management, blockchain is poised to reshape the way we handle and secure information, paving the way for a more efficient and trustworthy future. Prioritizing Data Ethics: As data-driven decision-making becomes increasingly crucial in the business landscape, the importance of ethical data usage cannot be overstated. In the year 2024, businesses will place even greater emphasis on data ethics, recognizing the need to establish clear guidelines and protocols to navigate potential ethical dilemmas that may arise. To ensure responsible and ethical data practices, organizations will invest in enhancing data literacy among their workforce, prioritizing education and training initiatives. Additionally, there will be a growing focus on transparency in data collection and usage, with businesses striving to build trust and maintain the privacy of individuals while harnessing the power of data for informed decision-making. The future of information governance will be shaped by technology, regulations, and ethical considerations. Businesses that adapt to these changes will thrive in a data-driven world. By investing in AI and automation, prioritizing data privacy and security, fostering collaboration, exploring blockchain technology, and upholding data ethics, companies can prepare for the challenges and opportunities of 2024 and beyond.

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10 Essential Strategies for Successful Information Governance and Data Retention for Executives

Information governance and data retention have been important topics in the corporate world for years. As an executive, it’s crucial to ensure effective management, storage, and secure disposal of your company’s data. Having well-defined information governance and data retention policies helps maintain compliance with legal requirements and safeguards against data breaches and cyber-attacks. In this post, we’ll share 10 essential strategies for implementing a successful information governance and data retention plan, optimizing your company’s data management. Develop a Comprehensive Data Retention and Information Governance Plan: The first crucial step in creating an effective plan for data retention and information governance is to develop a comprehensive policy. This policy should clearly define the necessary retention of company data, storage locations, access permissions, disposal procedures, and be regularly updated to comply with legal requirements, changing data practices, and company growth. Employee Training for Enhanced Data Security: Ensuring the success of your data governance policy requires training all employees to understand their roles and responsibilities in safeguarding company data. Your employees are the first line of defense against cyber-attacks and data breaches. Prioritize Data Security Measures: Regular security checks and audits are essential to protect your company’s information. Your IT department should review and update security measures to ensure data remains safe. Additionally, having backup and recovery plans in place can preempt data breaches and provide a framework for recovery. Streamline Data Management for Effective Information Governance: Streamlining data management is crucial for efficient information governance. Reduce irrelevant or outdated data by archiving non-essential data, deleting duplicates, and setting clear data and document retention schedules. Leverage Cloud Technology for Data Storage and Management: The adoption of cloud technology for data storage and management has gained rapid popularity in recent years. Cloud storage solutions offer secure, cost-effective, and scalable methods for storing and accessing data. Establish a Disaster Recovery Plan: Unforeseen catastrophic events or natural calamities can result in data loss or breaches. Having a robust disaster recovery plan ensures data remains safe and can be retrieved in the event of a system crash. Implement Data Preservation Procedures: Your Information Governance Policy should outline specific procedures that allow retrieval of archived data when required for litigation or audit purposes. This includes holding certain business records and information in separate preservation formats, protecting this data set from routine backups, and strictly controlling access to it. Ensure Accountability and Efficiency: The information governance team should be accountable and responsible for documentation management. Provide them with clear job descriptions and access to the necessary information to maximize their efficiency. Maintain Compliance with Laws and Regulations: Governing authorities have enacted laws and regulations regarding safe storage, data breaches, and access to sensitive information. Organizations must adhere to these legal frameworks, such as GDPR or the California Consumer Privacy Act, hence the importance of maintaining a compliance program. Regularly Review and Audit: Regularly reviewing and auditing your information governance policy ensures compliance with new regulations, adherence to procedures, and identifies areas for improvement. It also allows identification of document retention periods that have expired and no longer need to be stored. Accomplishing successful information governance and data retention is a challenging task that requires strict guidelines, consistent enforcement, and centralized storage capabilities. With the implementation of these 10 essential strategies, executives can prioritize information governance and data retention, ensuring control and improved access to critical digital assets. While it may seem daunting, achieving successful information governance and data retention is possible with the right resources and adherence to these strategies. If you need assistance in mapping out your plans for effective solutions, reach out today to discuss how we can help implement a successful information governance and data retention plan for your organization.

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Three Keys to Avoid Microsoft Teams Data Swamp

The COVID-19 pandemic has certainly forced companies to innovate and explore new ways of working across its workforce and client base. Some have decided to dive head first into implementing collaboration technologies such as Microsoft Teams. Afterall, it’s part of the Microsoft stack, so in theory such a decision doesn’t require a significant financial investment. This is true, but it does require time to be set aside to discuss a governance plan and what role this new technology will play in your company. This involves defining the people, processes and structure behind your Microsoft Teams setup. Next, we’ll share three initial steps your company can take to ensure a successful Microsoft Teams journey. Clearly Define Roles A successful Microsoft Teams governance plan begins with deciding who will be allowed to create new teams. For example, should all creation requests funnel though a centralized business unit and vetting process or should users be able to create a team at will? It’s likely that a major deciding factor in this decision will be the amount resources available or lack thereof. In either case, create a document explaining when a new team should be created is a good place to start. Create a Naming Convention To ensure a data swamp doesn’t occur, it’s important to establish a clearly defined naming convention. At a minimum, this will include a glossary of standard terms and abbreviations. Using abbreviations when appropriate can help shorten team names and make things look cleaner. This will translate into increased findability of content and reduce those needles in a haystack search adventures. Establish Polices & External Access Requirements Another way to ensure data swamp doesn’t occur is to establish policies within Microsoft Teams. One policy that you have the ability create is an archive policy. This policy allows you to archive content that is no longer useful (after certain number of days, years, when project is complete, case is closed, etc.) Users can still access a “read only” copy, while still preserving the integrity of the content. Another policy consideration is whether to allow external access to Microsoft Teams or not. Of course, external access is an excellent way to share and collaboration with clients and partners outside the organization, but it also presents several security concerns that will need to be considered. These three steps are only the tip of the iceberg but should provide a solid foundation from which to start. In the coming weeks and months, it will be interesting to see how companies decide to use Microsoft Teams and other collaboration tools during this unprecedented time.

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