What to Know Before Adopting AI for Case Law Research

This post details the architectural choices behind AI case law research tools, focusing on Retrieval-Augmented Generation (RAG) as the pattern for grounding AI output in actual authorities. It outlines five key questions for evaluating AI case law research tools: surfacing adverse authority, jurisdictional precision, tracking treatment and history, transparent reasoning, and accurate pin cites. The post also discusses the evolving role of junior associates, emphasizing verification and judgment skills, and the shift from standalone research tools to integrated AI platforms.