AI in Legal Research vs. Traditional Tools: What Changed

This post details the evolution of Harvey's legal research capabilities, introducing AI-native research that moves from keyword-based searches to natural language questions. It explains how the system synthesizes answers with supporting authority, grounds claims in authoritative legal databases, and emphasizes source transparency to combat hallucination. The post highlights the integration with existing legal research databases and the importance of lawyer verification. It also discusses how to evaluate AI legal research platforms by asking about sources, traceability, handling of negative treatment, performance measurement, and data handling, referencing Harvey's published benchmarks on BigLaw Bench and Legal Agent Bench.