LegalBot: An AI-Based Legal Chatbot System for Accessible Legal Guidance

Abstract: Access to legal information remains a significant challenge for a large portion of the general public due to complex legal terminology, high consultation costs, and limited availability of legal professionals. This paper presents LegalBot, an AI-powered legal chatbot system designed to bridge this gap by providing real-time, conversational legal guidance to users. Built on a modern full-stack architecture comprising Python, FastAPI, and MongoDB, LegalBot integrates an external AI language model to generate context-aware responses to user queries. The system supports user authentication, persistent chat history, and a clean web-based interface. This paper describes the system architecture, development methodology, implementation details, and evaluation results. A comparative analysis with existing legal chatbot systems is also provided. Future enhancements including multilingual support, voice assistance, and mobile application deployment are discussed.

Keywords: Legal chatbot, Artificial intelligence, FastAPI, MongoDB, Natural language processing, Legal assistance, Full-stack system