Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LexRAGgithub.comLexRAG is a modular and scalable toolkit for benchmarking Retrieval Augmented Generation (RAG) in multi-turn legal consultation conversations. It integrates data, pipeline, and evaluation components to support customizable RAG processes with both dense and sparse retrieval methods.
Parse Score
Sources
arxiv.org shapes more of what AI says about LexRAG than any other source, at 38% of its citations.
emergentmind.com · dl.acm.org · reuters.com
