Today’s lawyers face an overwhelming array of AI research tools—some built specifically for the legal field, others adapted from general-purpose AI assistants, and an emerging category promising “deep research” capabilities. Each claims to be accurate, efficient, and safe, but the truth can vary dramatically. This session will cut through the hype to explain how these categories differ, what their strengths and risks are, and how to identify when AI is enhancing your research—and when it’s hallucinating. Drawing on recent benchmarking studies and practical, informal testing strategies, we’ll equip you with a framework for evaluating tools, verifying results, and integrating AI into your research workflow without compromising quality or ethics.