Artificial intelligence is rapidly changing legal practice, but where does it deliver real value—and where is human judgment still essential? Cristin Traylor of Relativity joins Tom Hagy to discuss generative AI in legal workflows, discovery, defensibility, validation, and what lawyers should consider before relying on AI-generated results.
Artificial intelligence continues to reshape the legal landscape, bringing new litigation risks, evolving regulatory obligations, and complex governance challenges. In this CLE webinar, Abigail Damsky, Jamie O'Neill, and Seán McCabe of Anderson Kill examine the legal developments that continue to influence AI-related litigation and compliance, including privacy and biometric claims, copyright disputes, AI washing, algorithmic discrimination, product liability, antitrust concerns, and the expanding global regulatory framework. Gain practical insights into the cases, trends, and governance considerations that remain highly relevant for legal professionals advising clients on AI risk.
In this webinar, Tom Hagy and Paul Ryplewski share a practical, editorially grounded approach to using AI in law firm content development. Drawing on legal and marketing expertise, they explain how firms can generate stronger ideas, improve clarity, and repurpose existing content—while maintaining accuracy, judgment, and authentic voice. The session offers actionable strategies for integrating AI into legal marketing workflows without sacrificing credibility or control.
In this article, Tom Hagy and Reed Smith partner Adria Perez examine how the Department of Justice’s new AI Litigation Task Force is shifting corporate expectations from AI principles to proof. Drawing on insights from The Emerging Litigation Podcast, they discuss how regulators now expect companies to demonstrate real oversight, documented controls, and defensible governance as AI becomes embedded in compliance, investigations, and corporate decision-making.
In this episode, host Tom Hagy speaks with Reed Smith partner Adria Perez about the DOJ’s AI Litigation Task Force and what it signals for corporate AI governance. They examine how regulators are shifting from high-level AI principles to demanding documented controls, audit trails, and defensible oversight—and what legal departments must do to meet rising enforcement and board-level expectations.
In a JD Supra Office Hours session, legal content strategist Tom Hagy shared practical guidance on how law firm marketers can use AI to strengthen — not replace — their content development process. Framing AI as an editorial assistant rather than an author, Hagy explained how marketers can use the technology to generate better ideas, improve structure, translate legal complexity for business audiences, and repurpose existing firm content more effectively. He also emphasized that human judgment remains essential for accuracy, voice, and credibility. The discussion offers a clear, practical roadmap for integrating AI into law firm marketing workflows while maintaining editorial standards and client trust.
When autonomous AI systems make life-and-death decisions, who is responsible when something goes wrong? In Part 1 of the Agentic AI on Trial series, Galina Datskovsky, PhD, Marina Kaganovich, and Hon. Lisa Walsh examine a hypothetical agentic AI mammography triage system designed to operate with minimal human oversight. The panel explores accountability across developers, hospitals, clinicians, and data providers—and whether new standards of care are emerging for machine decision-making. A must-listen for health tech, compliance, and healthcare operations professionals navigating the legal and operational risks of autonomous AI.
The rapid advancement of AI technology continues to challenge courts, companies, and consumers. Read about recent developments that in-house counsel and litigators should be watching.
Artificial intelligence is quickly becoming a powerful asset for modern trial teams. In this episode of the Emerging Litigation Podcast, litigator Adam Massaro breaks down how AI is reshaping trial preparation—from sharpening expert cross-examinations to streamlining evidence management and elevating witness preparation. He explains why structured data and precise prompts are essential to unlocking AI’s full potential, and how these tools can help attorneys evaluate case strength, refine strategy, and anticipate challenges long before entering the courtroom. A must-listen for anyone integrating AI into litigation practice.
California’s new AI hiring regulations take effect on October 1, 2025, requiring employers to conduct bias audits and increase transparency when using automated decision systems. With broad definitions of ADS and new FEHA liabilities, employers must prepare now to stay compliant. Read the full analysis to understand what steps your organization should take next.
Insurance coverage litigation isn’t what it used to be. In this episode of the Emerging Litigation Podcast, Jeremy Moseley of Spencer Fane unpacks how automation, AI, climate change, and “social inflation” are reshaping risks and fueling high-stakes disputes. From thermonuclear verdicts to dangerous policy gaps, Jeremy offers sharp, practical insights into what insurers, policyholders, and lawyers should expect next.
Federal courts in California just issued conflicting rulings on whether training AI models with copyrighted books qualifies as fair use. In Bartz v. Anthropic, the court protected training on lawfully purchased works but rejected the use of pirated copies. In contrast, Kadrey v. Meta allowed AI training on pirated books, calling it “highly transformative.” Tom Hagy explains that with more than 50 similar lawsuits pending, these decisions underscore the legal uncertainty facing tech companies, publishers, and creators—and could reshape the future of AI development and copyright law.
