LawExplore accelerates legal research by enabling lawyers to upload long documents, run semantic queries, and receive structured summaries. The platform reduces hours of manual review into seconds using AI-driven retrieval.
Core Contribution
Designed full RAG pipeline for legal text, optimized for high accuracy.
Implemented Pinecone vector indexing and legal-specific embedding logic.
Built clause extraction workflows and multi-document search features.
Developed React interface for document upload, query handling, and results display.
Technical Highlights
FastAPI backend with routes for summarization, retrieval, and metadata extraction.
Frontend response formatting with references linked to source sections.
Outcome
Legal teams reduced research time dramatically and gained instant access to the most critical clauses. Improved accuracy and consistency helped lawyers build cases more efficiently.