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| title: GL_LegalMind | |
| emoji: ⚖️ | |
| colorFrom: indigo | |
| colorTo: gray | |
| sdk: streamlit | |
| sdk_version: "1.34.0" | |
| app_file: app.py | |
| pinned: false | |
| # GL_LegalMind: Summarized Contract Clause Retrieval Using RAG and LLMs | |
| **GL_LegalMind** is a legal assistant that retrieves relevant contract clauses using vector search and summarizes them using a local Mistral model. The app also supports evaluation of groundedness and relevance for legal QA outputs. | |
| - Powered by: `ChromaDB` + `Sentence-Transformers` + `Llama-CPP` (GGUF) + `Streamlit` | |
| - Retrieval-Augmented Generation (RAG) with clause summaries | |
| - Optional evaluation button to analyze answer quality | |
| > Built as part of a data science case study on legal document intelligence. | |