This paper details the development and conceptual framework of an AI-based interactive chatbot designed for the Department of Justice website in India, aimed at bridging the significant accessibility gap in public legal assistance. The system leverages a Flask backend, a JavaScript-powered frontend, and the LLaMA 3.1 large language model accessed via Ollama to provide real-time legal query responses, summarization of legal documents (PDF/DOCs including FIRs and petitions), and basic multilingual capabilities (English/Hindi) with citation support. The Paper focuses on creating a free, user-friendly, and scalable virtual legal assistant tailored for common public queries and document analysis, thereby enhancing legal literacy and empowering citizens. This paper outlines the chatbot's system architecture, core feature implementation (including prompt engineering and translation services), illustrative use cases demonstrating its functionality, and discusses the technical challenges, ethical considerations, and potential societal impact of deploying such a system in the Indian legal context. It concludes by summarizing the Paper's contributions and suggesting avenues for future development to further improve its efficacy and reach in democratizing legal information