Multilingual Legal Assistant

Abstract

The paper presents the development of the multilingual legal advisor chatbot designed to provide accessible legal assistance in Tamil, English, and Hindi. The system integrates natural language processing (NLP), speech recognition, and document automation to answer user queries and generate legal documents such as stamp interaction with multilingual support, the chatbot addresses barriers of language and literacy in accessing legal services. The architecture is modular, incorporating components for speech‑to‑text conversion, translation, intent recognition, and document generation. Evaluation demonstrates the chatbot’s ability to deliver accurate responses, reduce manual drafting time, and improve accessibility for underserved communities. This work highlights the potential of conversational AI in democratizing legal aid and sets the foundation for scalable, domain specific advisory systems.