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Data Literacy: A Critical Skill for Legal Professionals

Colin S. Levy

Legal teams are no longer just advisors on regulatory compliance or dispute resolution—they are now key players in data governance, risk management, and strategic decision-making. This involves more than just skimming through compliance dashboards; it requires diving into how data is collected, processed, and stored.

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AI Gets Personal: CCPA vs. GDPR on Automated Decision-Making

Berkley Technology Law Journal

This blog post unpacks the proposed CCPA rules on ADMTs, compares them with GDPRs Article 22 protections on automated decision making. Divergences between the two frameworks increase compliance costs and create regulatory uncertainty. companies to piggyback on existing compliance mechanisms.

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Top 10 SEC Cyber/AI Blog Posts for 2024

Debevoise Data Blog

As we approach the end of the year, here are the Top 10 SEC Cyber/AI posts on the Debevoise Data Blog in 2024 by page views. If you are not already a Blog subscriber, click here to sign up. This post synthesizes key compliance requirements under this expanded regulation. To subscribe to the Data Blog, please click here.

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Beyond Compliance: How Digital Forensics Reinforces Regulatory Readiness  

Lineal Services

In todays regulatory environment, meeting compliance requirements is no longer the end goalits the baseline. Its not only useful during investigations or litigation. With a forensic foundation, compliance processes become more robust, and less dependent on last-minute, manual efforts. Compliance will always be a moving target.

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Blogiversary: Who Reads the Blog, and Why? (Part 3 of 10)

Eric Goldman

This post is all about you…readers of the blog! My blog post usually aren’t meant to be accessible to beginners. As a result, since nearly the blog’s beginning, I’ve done little to cater to beginners. I’m very grateful for your blog!” You help me push my own thinking.”

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Lessons Learned from 2024 and the Year Ahead in AI Litigation

Debevoise Data Blog

But this new era of AI has not come without controversy, as authors and rights holders have launched waves of litigation against the companies that trained and released generative AI models, as well as their investors and affiliates, alleging violations of intellectual property rights.

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Opt-Out Approaches to AI Training: A False Compromise

Berkley Technology Law Journal

Until this course of litigation is resolved, the parties remain categorically opposed: defendants seek to maximize the training data available to their algorithms, while plaintiffs livelihood depends on exclusive ownership and control of their IP.