LegalBOT: A RAG and FAISS Hybrid Framework for Legal Case Intelligence

Abstract

The Legal Assistant Bot is an AI-based system for automating simple legal services leveraging Artificial Intelligence and Natural Language Processing. Legal work is heavily document-based, involves a lot of legal research, and relies on the interpretation of a legal professional, making it a laborious and expensive process that is not readily available to non-legal persons. The growing amount of legal information available and the rising demand for rapid legal assistance indicates the need for intelligent automation of legal professionals. This proposed system addresses this issue by providing an intelligent bot capable of processing legal documents, understanding natural language questions, providing answers to legal questions, tracking legal cases and even recommending a lawyer to the user based on their specific legal needs. The bot uses a combination of Machine Learning techniques and Retrieval Augmented Generation to provide accurate, relevant, and contextual answers in real time. Unlike other systems for legal information, the Legal Assistant Bot provides a unique interface the user interacts with. The system reduces the workload of legal professionals, minimizes the wait time between legal consultations, and provides legible and well-structured legal information that keeps the end-user informed and empowered. The proposed system improves the efficiency, availability, and affordability of legal assistance and services and demonstrates the potential impacts of AI-based systems on the legal environment.