Legal case matching
RAG + LLM system that matches new Supreme Court cases against historical ones
Built at CAIR Lab for the Supreme Court of India: a retrieval-augmented generation pipeline that embeds a new case, retrieves the most similar historical judgments, and uses a large language model to explain the similarities and differences. The goal is faster, more consistent legal research.
Stack: Python, LangChain, vector search, large language models.