Self-hosted, privacy-first document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page citations.
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Updated
Jun 25, 2026 - Python
Self-hosted, privacy-first document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page citations.
Multi‐agent legal RAG based chatbot using LangChain, Pinecone, Docling, Hugging Face
JanaVedhi is a unified digital governance platform that combines AI, blockchain, and civic technology to enhance citizen participation, transparency, and trust by offering tools for participatory budgeting, fund tracking, grievance mapping, and secure, verifiable voting.
An AI Chatbot for simplified Indian Penal Code (IPC) explanations (Sections 121A-511) using RAG with Ollama (Llama 3.1) and Streamlit.
AI legal assistant — business law Q&A in plain language. Contracts, IP, employment law, privacy & more.
AI-Chatbot for Legal Advice Based on Indian Law
A legal chatbot project built as a practical application of NLP and conversational AI. Designed to understand and respond to legal queries using natural language processing techniques. Includes dataset preparation, model training, and a simple interactive interface, all in Python.
Saul Botman is a RAG based generative AI attorney chatbot that is trained using Indian Penal Code data. This project was developed using Streamlit, LLaMA LLM and Google AI embeddings.
This project uses Retrieval-Augmented Generation (RAG) to help users quickly understand legal documents. Simply upload a contract, agreement, or policy and ask questions—our AI retrieves the most relevant clauses and explains them in plain language.
Chat with private legal documents using local LLMs. Get cited, verifiable answers on your own hardware.
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