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DTSTART;TZID=America/Chicago:20260727T110000
DTEND;TZID=America/Chicago:20260727T120000
DTSTAMP:20260702T152656Z
CREATED:20260702T152654Z
LAST-MODIFIED:20260702T152656Z
UID:11091-1785150000-1785153600@law.washu.edu
SUMMARY:AI Governance After the First Wave: What Lawyers Should Be Telling Clients Now
DESCRIPTION:This program examines how companies are moving from first-generation AI policies to more mature governance structures that can withstand regulatory\, litigation\, reputational\, and operational scrutiny. \n\n\n\nSpeaker:Scott M. Kosnoff\, Partner at Faegre Drinker Biddle & Reath LLP
URL:https://law.washu.edu/event/ai-governance-after-the-first-wave-what-lawyers-should-be-telling-clients-now/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech,Speakers
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260728T110000
DTEND;TZID=America/Chicago:20260728T120000
DTSTAMP:20260702T152850Z
CREATED:20260702T152848Z
LAST-MODIFIED:20260702T152850Z
UID:11093-1785236400-1785240000@law.washu.edu
SUMMARY:State Privacy and AI Regulation in 2026
DESCRIPTION:This program will examine the state-level privacy and AI regulatory landscape in 2026\, with a focus on the practical implications for companies operating across multiple jurisdictions. \n\n\n\nSpeaker:Tyler J. Thompson\, Partner\, Reed Smith; IAPP Privacy Law Specialist & AI Governance Professional; FIP\, CIPP/US/E/A/C\, CIPT\, CIPM\, CDPSE
URL:https://law.washu.edu/event/state-privacy-and-ai-regulation-in-2026/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech,Speakers
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260728T130000
DTEND;TZID=America/Chicago:20260728T140000
DTSTAMP:20260702T153027Z
CREATED:20260702T153025Z
LAST-MODIFIED:20260702T153027Z
UID:11095-1785243600-1785247200@law.washu.edu
SUMMARY:Ethical Implications of AI Use in Mass Torts
DESCRIPTION:This program provides a practical examination of the current and anticipated near-future use of generative and agentic artificial intelligence in mass tort litigation\, with particular attention to the professional responsibility issues that may arise when AI tools are deployed across complex and high-volume dockets. \n\n\n\nSpeaker: Kaitlyn Stone\, Partner and Artificial Intelligence Co-Chair\, Barnes & Thornburg LLP
URL:https://law.washu.edu/event/ethical-implications-of-ai-use-in-mass-torts/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech,Speakers
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260811T130000
DTEND;TZID=America/Chicago:20260811T143000
DTSTAMP:20260722T170733Z
CREATED:20260722T165303Z
LAST-MODIFIED:20260722T170733Z
UID:11265-1786453200-1786458600@law.washu.edu
SUMMARY:Legal AI Demo Day: Summer 2026
DESCRIPTION:WashU Law\, The National Law Review\, and Wickard invite legal professionals\, judges\, law students\, educators\, and legal operations leaders to Legal AI Demo Day: Summer 2026\, a free virtual showcase featuring rapid\, eight-minute demonstrations from legal technology companies. \n\n\n\nThe program will provide a practical look at tools addressing fact management\, timekeeping and billing\, real estate due diligence\, discovery\, meeting intelligence\, small-firm practice management\, securities compliance\, judicial workflows\, and workers’ compensation litigation. \n\n\n\nEach participating company will demonstrate its technology in action\, giving attendees an efficient way to evaluate emerging legal AI products and their potential applications across the legal profession. \n\n\n\nPresenters\n\n\n\n\nMary Technology\n\n\n\nMary Technology helps lawyers organize large volumes of case documents and convert them into a structured\, searchable\, and verifiable factual record. Its AI-powered fact management system reviews documents\, identifies key facts\, people\, and dates\, and links extracted information to the underlying source material.Demonstration focus: AI-powered fact management and case-document organization. \n\n\n\nPointOne\n\n\n\nPointOne is an AI-powered timekeeping\, billing compliance\, and analytics platform that passively captures attorney work and generates compliant time entries.Demonstration focus: Automated timekeeping\, billing compliance\, and legal-work analytics. \n\n\n\nOrbital Tech\n\n\n\nOrbital Tech provides an AI-powered real estate due diligence platform that helps lawyers and property professionals identify property risks using documents\, data\, and mapping.Demonstration focus: Real estate due diligence and property-risk analysis. \n\n\n\nBriefpoint\n\n\n\nBriefpoint is a discovery lifecycle management\, automation\, and governance platform serving more than 1\,000 law firms nationwide.Demonstration focus: Discovery management and workflow automation. \n\n\n\nLua Legal\n\n\n\nLua Legal is a privilege-focused meeting AI platform designed for lawyers. Attorneys can use Lua during telephone calls\, video conferences\, and in-person meetings. The platform can answer questions\, take notes\, summarize documents\, and provide information during conversations while emphasizing confidentiality\, legal ethics\, and attorney control.Demonstration focus: Meeting intelligence\, note-taking\, and privilege-conscious legal workflows. \n\n\n\nTwin Counsel\n\n\n\nTwin Counsel is developing an AI legal colleague for solo and small-firm attorneys. The platform connects to a lawyer’s email and automatically structures active matters\, including parties\, timelines\, open obligations\, and source-linked facts.Demonstration focus: AI-assisted matter management for solo and small-firm practices. \n\n\n\nFiniti Legal\n\n\n\nFiniti Legal provides an intelligence platform for regulated markets. It helps public companies and their lawyers draft\, review\, and benchmark filings with the U.S. Securities and Exchange Commission\, with an emphasis on provenance\, collaboration\, and trust.Demonstration focus: SEC filing preparation\, review\, and benchmarking. \n\n\n\nLearned Hand\n\n\n\nLearned Hand is a judicial AI case-preparation platform designed to help courts and judges streamline filings\, legal research\, drafting\, and case management.Demonstration focus: Judicial workflows and AI-assisted case preparation. \n\n\n\nCasefriend\n\n\n\nCasefriend is an AI-native case management platform developed for workers’ compensation defense and lien-resolution firms. It combines case management\, document management\, email intelligence\, and AI-powered case analysis within a single platform.Demonstration focus: Workers’ compensation case management and litigation workflows. \n\n\n\nWho Should Attend\n\n\n\nThis program is designed for: \n\n\n\n\nPracticing attorneys and law-firm leaders\n\n\n\nJudges\, court administrators\, and judicial personnel\n\n\n\nLegal operations and innovation professionals\n\n\n\nLaw professors\, law students\, and legal educators\n\n\n\nIn-house counsel and compliance professionals\n\n\n\nProfessionals evaluating legal AI and workflow technologies\n\n\n\n\n\nRegistration\n\n\n\nAttendance is free\, but advance registration is required. \n\n\n\nRegister for Legal AI Demo Day: Summer 2026
URL:https://law.washu.edu/event/legal-ai-demo-day-summer-2026/
LOCATION:Virtual Event
CATEGORIES:Legal Tech
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260818T120000
DTEND;TZID=America/Chicago:20260818T130000
DTSTAMP:20260702T153212Z
CREATED:20260702T153211Z
LAST-MODIFIED:20260702T153212Z
UID:11097-1787054400-1787058000@law.washu.edu
SUMMARY:Managing Artificial Intelligence Risks in Health Care Through Effective Governance
DESCRIPTION:This presentation will provide an overview of key issues to consider that drive risk and how to think about managing such risks through effective AI governance. \n\n\n\nSpeaker:Alaap B. Shah\, Member and Co-leader of AI Cross-Practice Working Group\, Epstein Becker Green
URL:https://law.washu.edu/event/managing-artificial-intelligence-risks-in-health-care-through-effective-governance/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech,Speakers
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260820T130000
DTEND;TZID=America/Chicago:20260820T140000
DTSTAMP:20260602T164827Z
CREATED:20260602T164754Z
LAST-MODIFIED:20260602T164827Z
UID:10864-1787230800-1787234400@law.washu.edu
SUMMARY:Buying & Selling the Black Box: Deal Structures and Diligence for AI M&A
DESCRIPTION:This presentation dives into the complexities of buying and selling the black box\, teaching counsel how to assess and defend the defensibility of AI models\, quantify unverified training data risks\, and negotiate bespoke indemnities. \n\n\n\nSpeakers:Carl A. Kukkonen III\, Partner\, Jones DayLexi A. Heon\, Associate\, Jones DaySamantha F. Casey\, Associate\, Jones Day\, Associate\, Jones Day
URL:https://law.washu.edu/event/buying-selling-the-black-box-deal-structures-and-diligence-for-ai-ma/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260828T110000
DTEND;TZID=America/Chicago:20260828T120000
DTSTAMP:20260709T202328Z
CREATED:20260709T202325Z
LAST-MODIFIED:20260709T202328Z
UID:11120-1787914800-1787918400@law.washu.edu
SUMMARY:AI in IP Litigation: Evidence\, Discovery\, and Expert Issues
DESCRIPTION:This program examines how artificial intelligence is beginning to affect intellectual property\, patent litigation and other contested proceedings\, with a particular focus on evidence\, discovery\, expert analysis\, damages\, and litigation strategy. \n\n\n\nSpeaker:Ha Kung Wong\, Esq.\, Partner\, Venable LLP 
URL:https://law.washu.edu/event/ai-in-ip-litigation-evidence-discovery-and-expert-issues/
LOCATION:Virtual Event
CATEGORIES:CLE Programs,Legal Tech
ATTACH;FMTTYPE=image/webp:https://law.washu.edu/wp-content/uploads/2026/01/WashU-Law-Tech-Event-Image-copy.jpg
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