Decoding Large Language Models and Generative AI for the Jury | Episode 85 cover art

Decoding Large Language Models and Generative AI for the Jury | Episode 85

Decoding Large Language Models and Generative AI for the Jury | Episode 85

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As generative AI becomes a defining issue in litigation, trial teams must be ready to explain the “black box” of large language models (LLMs) for juries shaping landmark cases across the US.

In this episode of the IMS Insights Podcast, Senior Client Success Advisor Adam Bloomberg talks with Jury Consultant Liz Babbitt and LLM Training Expert Devon Madon, PhD, about how to make complex AI concepts clear, relatable, and persuasive in the courtroom.

Together, they explore the evolving legal landscape surrounding AI copyright and fair use, practical strategies for simplifying technical ideas, and ways to address common AI misconceptions that can influence juror understanding.

Gain insights on bridging the gap between advanced technology and everyday comprehension—so you can build credible, compelling narratives in your next AI-related case.

Find the original LinkedIn Live recording here.

For additional insights, read Liz and Devon’s article, Demystifying Generative AI for the Modern Juror,” published by Law360.

Explore IMS’s jury consulting and expert sourcing solutions at imslegal.com/services.

IMS has delivered strategic litigation consulting and expert witness services to leading global law firms and Fortune 500 companies for more than 30 years, in more than 65,000 cases. IMS consultants become an extension of your legal team from pre-suit investigation services to discovery and then on to arbitration and trial. Learn more at imslegal.com.

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