Speaker: Haydn Jones, Benchly
Program description: Artificial intelligence in law is only as dependable as the data it learns from. This session examines how the quality, structure, and integrity of training data directly influence accuracy and help mitigate AI hallucinations in legal drafting and research. Attendees will explore the growing risks of using open-sourced or publicly trained AI models in law practice and gain a clearer understanding of why a verified, comprehensive dataset is essential to building systems that uphold legal and ethical standards.
Where: Virtual via GoToWebinar
Total CLE Hours: 1.0 CLE (0 Ethics) Accredited by the State Bar of Texas through November 30, 2026.
Cost: Free