Digital evidence is central to modern litigation, yet it is often misunderstood or underused. In this episode of the Emerging Litigation Podcast, Tim Conlon explains how litigators can more effectively authenticate, preserve, and challenge electronic evidence—from texts and social media to cloud data and email systems—using practical forensic techniques that expose manipulation, concealment, and gaps in the record.
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.
What if law firms could measure success using more than just headcount and revenue? In this episode, Molly Huie of Bloomberg Industry Group joins data strategist Sara Lord of Reed Smith to discuss Bloomberg’s innovative Leading Law Firms self-ranking tool. The program blends financial strength, talent, innovation, growth, and excellence metrics into an interactive platform that helps firms benchmark performance in a more meaningful way. The conversation explores how the tool benefits business development leaders, managing partners, and firms of all sizes seeking data-driven insights.
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.
What happens when artificial intelligence collides with copyright law? In this episode of the Emerging Litigation Podcast, intellectual property attorneys Ryan Phelan and Tiffany Gehrke of Marshall, Gerstein & Borun LLP unpack two landmark court decisions on fair use and AI training data. They explain why courts found AI training to be “transformative use,” how judges are treating legally obtained versus pirated data, and why algorithmic outputs could be the real battleground ahead. With deep expertise in technology and IP law, Ryan and Tiffany offer practical insights into how these rulings may shape the future of AI, copyright, and innovation.
Can a CEO be forced to sit for a deposition? In this episode of the Emerging Litigation Podcast, national trial lawyer Rachel M. Lary of Lightfoot, Franklin & White unpacks the Apex Doctrine—a legal standard designed to shield high-ranking executives from unnecessary depositions. Rachel explains how courts assess executive knowledge, alternative discovery options, and the growing body of case law shaping this issue across jurisdictions. A must-listen for litigators navigating discovery strategy in high-stakes cases.
As generative AI tools grow more sophisticated—and more personal—the legal system is being forced to confront their potential harms. Guest contributor Justin Ward explores a chilling case against Character AI, where the mother of a teenage user is suing the company after her son took his own life. The boy had become fixated on an AI-generated version of a Game of Thrones character. In a significant ruling, a federal judge refused to dismiss the case on First Amendment grounds, challenging assumptions about whether AI output qualifies as protected speech—and raising urgent questions about AI accountability, user vulnerability, and the boundaries of tech company liability.
Guest contributor Justin Ward discusses how artificial intelligence is both fueling and fighting the rise of “nuclear verdicts.” Plaintiff attorneys are using AI to identify high-damages cases, favorable jurisdictions, and winning arguments—driving a spike in verdicts over $10 million. At the same time, defense lawyers and insurers are adopting tools like NaVeL to spot high-risk cases early and craft smarter strategies. As AI reshapes legal practice, the very technology accelerating massive awards may also be the best hope for containing them.
During this webinar, Robinson+Cole's knowledge management professionals Liz Salsedo and Jim Merrifield help you better understand artificial intelligence and generative AI. Learn about the categories of work in which AI is being applied in the practice of law, e.g., legal research, document drafting, deposition preparation, and discovery review. Understand the various risks associated with AI, e.g., biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement. Get an overview of governmental regulation and guidance. Finally, start your journey to develop best practices in establishing AI governance teams and processes with an eye toward complying with regulations and mitigating risk.
