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DTSTART;TZID=America/Chicago:20251113T120000
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UID:7065-1763035200-1763035200@law.washu.edu
SUMMARY:How Large Language Models Work And What That Means for Courts
DESCRIPTION:AI is no longer a distant issue for the judiciary—it is already in the courtroom. Lawyers are filing AI-generated briefs\, vendors are marketing “AI for judges\,” and fabricated case citations have appeared in both filings and opinions. This CLE cuts through the hype to explain how today’s large language models (LLMs) actually work\, why they sometimes make things up\, and how courts can harness them responsibly. \n\n\n\nDrawing on current examples—including Mata v. Avianca (S.D.N.Y. 2023) and the remarkable story of Cassandra White\, a pro se tenant who overturned her own eviction using ChatGPT—the program explores both the dangers and opportunities AI presents to judicial administration. Participants will learn what makes LLMs powerful\, where they fail\, and what architectural safeguards are required before any AI system should ever assist a court. \n\n\n\nShlomo Klapper\, developer of the Learned Hand judicial AI platform\, offers an insider’s\, non-promotional perspective on what it takes to build technology that upholds—rather than undermines—the judiciary’s core mission of justice\, fairness\, and efficiency. The session introduces a practical five-question framework for evaluating AI proposals\, explains the concept of “hallucination\,” and demonstrates the four essential design constraints of trustworthy judicial AI: Evidence-Linking\, Procedural Grounding\, Auditability\, and Multi-Agent Cross-Check. \n\n\n\nSpeaker: Shlomo Klapper\, CEO/Founder @ Learned Hand; J.D.\, Yale Law School \n\n\n\nModerator: Oliver Roberts\, Co-Director\, WashU Law AI Collaborative \n\n\n\nHosted by:Washington University School of Law — AI Collaborative “AI Policy Series” \n\n\n\nEligible for FREE CLE in Missouri\, courtesy of WashU Law. \n\n\n\nNot eligible for CLE in other jurisdictions\, but all are welcome to attend free for non-CLE credit.
URL:https://law.washu.edu/event/how-large-language-models-work-and-what-that-means-for-courts/
CATEGORIES:CLE Programs,Information Session,Legal Tech
ATTACH;FMTTYPE=image/webp:https://law.washu.edu/wp-content/uploads/2025/07/WashU-Law-Legal-Tech.webp
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DTSTART;TZID=America/Chicago:20251113T133000
DTEND;TZID=America/Chicago:20251113T133000
DTSTAMP:20260510T020554
CREATED:20251105T212611Z
LAST-MODIFIED:20251107T192756Z
UID:7061-1763040600-1763040600@law.washu.edu
SUMMARY:AI and Copyright: Understanding the Issues\, Lawsuits\, and What Comes Next
DESCRIPTION:This CLE offers an accessible\, in-depth overview of one of today’s most consequential legal debates—the clash between artificial intelligence and copyright law. As generative AI tools rely on vast quantities of copyrighted works for training\, courts are now being asked to decide whether such use constitutes lawful fair use or unlawful reproduction. This session unpacks the central legal and policy questions at the heart of ongoing litigation\, including The New York Times v. OpenAI\, Getty Images v. Stability AI\, and other landmark cases. \n\n\n\nSpeaker: Oliver Roberts\, Co-Director\, WashU Law AI Collaborative; Adjunct Professor of Law at WashU Law; Co-Head of AI Practice Group at Holtzman Vogel \n\n\n\nParticipants will gain insight into: \n\n\n\n\nThe competing legal theories driving the AI training vs. copyright infringement debate\n\n\n\nHow courts are analyzing data scraping\, transformative use\, and market substitution\n\n\n\nThe practical implications for creators\, platforms\, and AI developers\n\n\n\nEmerging trends in judicial reasoning and what future rulings may mean for copyright law\n\n\n\n\nBy the end of this session\, attendees will understand both the current legal landscape and the broader policy tensions between innovation\, creative rights\, and the evolving role of AI in content creation. \n\n\n\nHosted by:Washington University School of Law — AI Collaborative “AI Policy Series” \n\n\n\nEligible for FREE CLE in Missouri\, courtesy of WashU Law. \n\n\n\nNot eligible for CLE in other jurisdictions\, but all are welcome to attend free for non-CLE credit.
URL:https://law.washu.edu/event/ai-and-copyright-understanding-the-issues-lawsuits-and-what-comes-next/
CATEGORIES:CLE Programs,Information Session,Legal Tech
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DTSTART;TZID=America/Chicago:20251119T180000
DTEND;TZID=America/Chicago:20251119T190000
DTSTAMP:20260510T020554
CREATED:20251113T144508Z
LAST-MODIFIED:20251118T154332Z
UID:7247-1763575200-1763578800@law.washu.edu
SUMMARY:Tech/Privacy Law Society - Creators v. AI: A debate on the future of copyright
DESCRIPTION:A debate hosted by the Technology and Privacy Law Society and Cardozo’s AI and the Law Society on the topic of AI and copyright. The event features WashU Law adjunct professor Oliver Roberts\, currently teaching AI and Andrew Berger\, an adjunct professor at Cornell known for representing the perspective of creatives in these debates\, which he has conducted at several law schools nationwide. \n\n\n\nSpeaker info:Oliver Roberts\, Co-Director of the WashU Law AI Collaborative & Adjunct ProfessorAndrew Berger\, Adjunct Professor of Law at Cornell \n\n\n\n1.5 credits in “areas of professional practice”
URL:https://law.washu.edu/event/tech-privacy-law-society-ai-and-copyright-debate/
LOCATION:Cullenbine Classroom (A-B Hall\, Room 305)
CATEGORIES:CLE Programs,Legal Tech,Panels and Discussions
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DTSTART;TZID=America/Chicago:20251121T110000
DTEND;TZID=America/Chicago:20251121T110000
DTSTAMP:20260510T020554
CREATED:20251118T203853Z
LAST-MODIFIED:20251118T203854Z
UID:7059-1763722800-1763722800@law.washu.edu
SUMMARY:Decoding California's ADMT Regulations: A Guide to Automated Decision-Making Compliance
DESCRIPTION:California’s newly adopted regulations governing Automated Decision-Making Technology (ADMT) represent one of the most significant developments in AI governance and consumer privacy protection in the United States. Set to take effect on January 1\, 2027\, these regulations under the California Consumer Privacy Act (CCPA) will fundamentally reshape how businesses design\, deploy\, and manage automated systems that process consumer data. \n\n\n\nThis continuing legal education (CLE) class examines the legal complexities of the California Privacy Protection Agency’s (CPPA) Automated Decision-Making Technology (ADMT) rulemaking package. Given California’s status as a national leader in data privacy and the ongoing absence of comprehensive federal privacy legislation\, these rules are poised to shape regulatory standards across the country and establish benchmarks for other states developing similar frameworks. \n\n\n\nWho Should Attend: in-house counsel\, privacy officers\, compliance professionals\, technology executives\, and legal practitioners who advise businesses on AI governance\, data privacy\, or technology transactions. \n\n\n\nLearning Objectives: \n\n\n\nParticipants will leave with: \n\n\n\n\nInsights into how California’s approach may influence broader AI governance trends.\n\n\n\nClear understanding of what systems qualify as ADMT under California regulations.\n\n\n\nPractical frameworks for assessing existing technologies against ADMT definitions.\n\n\n\nActionable compliance roadmaps aligned with phased implementation deadlines.\n\n\n\n\nSpeakers: Charlyn Ho\, Founder and Managing Member at Rikka; Thomas Woodward\, Associate Attorney at Rikka; Aidan McNair\, Co-Founder and CEO of Torva AI  \n\n\n\nHosted by: Washington University School of Law — AI Collaborative “AI Policy Series” \n\n\n\nEligible for FREE CLE in Missouri\, courtesy of WashU Law.  \n\n\n\nNot eligible for CLE in other jurisdictions\, but all are welcome to attend free for non-CLE credit. \n\n\n\nRegister here.
URL:https://law.washu.edu/event/decoding-californias-admt-regulations-a-guide-to-automated-decision-making-compliance/
CATEGORIES:CLE Programs,Legal Tech
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