Samir Bhavsar, Justin Bryant, Parker Hancock, Craig Schwartz
Time: Wednesday, Nov 12, 2025: 04:00 PM – 05:00 PM
As artificial intelligence rapidly transforms business operations across every sector, legal teams face unprecedented challenges in identifying, managing, and mitigating the risks associated with AI adoption. This session is designed for in-house counsel and private practice attorneys seeking actionable insights into the evolving landscape of AI regulatory and legal exposure. Drawing on real-world examples from recent litigation, enforcement actions, and regulatory developments, we will explore the most common—and costly—AI risk scenarios, including algorithmic bias in employment decisions, healthcare compliance failures, unauthorized data scraping, financial services liability, and copyright infringement from AI-generated content, among others.
Attendees will gain a practical understanding of the urgent compliance requirements now facing organizations, including new state and international laws, bias audit mandates, and heightened enforcement from agencies such as the EEOC, FTC, and FDA. Whether you are advising clients on AI implementation, managing internal risk, or preparing for board-level discussions, this session will equip you with the tools to proactively address legal vulnerabilities and position your organization—or your clients—for success in the era of algorithmic accountability. Join us to learn how robust AI governance frameworks can not only reduce exposure to litigation and regulatory penalties, but also serve as a competitive advantage in today’s rapidly changing legal environment.
Samir Bhavsar, Partner, Baker Botts
Justin Bryant, Associate, Baker Botts
Parker Hancock, Senior Associate, Baker Botts
Craig Schwartz, General Counsel, Nominal
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