An intelligent legal assistant that helps users analyze private documents and generate insights about legal risks such as:
- Misrepresentation of Facts
- Hidden Fees and Charges
- False Promises or Guarantees
- Unfair Contract Terms
This tool is designed to assist users in identifying red flags in contracts and other legal texts by answering questions strictly based on the content provided in the uploaded documents.
Legal Assistant AI is a document analysis tool that uses LangChain, Gemini, FAISS, and Streamlit to detect legal red flags such as misrepresentation of facts, hidden fees, false promises, and unfair contract terms. It answers user queries strictly based on uploaded documents, ensuring context-aware and reliable insights for legal review.
| Technology | Description |
|---|---|
| LangChain | Framework to manage LLM pipelines and retrieval workflows |
| Gemini API | Google's LLM (via Vertex AI or LangChain integration) |
| Streamlit | Interactive front-end for document upload and Q&A |
| FAISS | Efficient vector store for semantic document search |
- Contextual Document Q&A
- Private Document Analysis
- LLM-Powered Reasoning
- Focus on Legal Red Flags
- Upload your contract or legal document (PDF or TXT).
- Enter your legal question (e.g., "Are there hidden fees?").
- Get answers based strictly on your document's content.
This project is licensed under the MIT License. Use, adapt, and distribute with attribution.
You can explore the Legal Assistant AI web interface here:
🔗 https://suits404.netlify.app