Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LegalRAGgithub.comLegalRAG is a Retrieval Augmented Generation system for legal document analysis, built with FastAPI, Pinecone, and Llama 3.3 via Groq Inference. It retrieves and analyzes legal documents based on user queries, using vector-based search to provide relevant case law, legal statutes, and precedents.
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