Project Overview

This project is a Retrieval-Augmented Generation (RAG) based writing assistant specifically designed for advocates and legal professionals. Currently in the development stage, the system aims to assist in drafting legal documents, researching case law, and generating legal arguments. It utilizes advanced natural language processing techniques and vector databases to retrieve relevant legal information and generate coherent, contextually appropriate text. The system is built with Python and leverages the LangChain framework for working with large language models in a structured way.