Law Agent
An application for uploading law PDFs, chunking and embedding content into a vector database, and asking legal questions with retrieval-augmented answers. Designed to make legal research more efficient by combining document processing, chunking, embeddings, and similarity search into a single workflow.
Developer
Screenshots
Under Construction (Coming Soon)
This feature is currently in development, and a polished version will be available in a future update.
Under Construction (Coming Soon)
This feature is currently in development, and a polished version will be available in a future update.
Challenge
Processing and chunking legal documents effectively while implementing accurate retrieval-augmented generation for legal queries.
Solution
Developed specialized document chunking algorithm for legal texts and built semantic search with similarity scoring for precise answer retrieval.
Results
- Automated legal document processing
- Enabled semantic search across legal texts
- Retrieval-augmented answers for legal queries
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