Vol. 4 No. 4 (2025): October
RESEARCH ARTICLES

AI-Powered Interactive Legal Chatbot for the Department of Justice

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  • K L Srujan Surya,
  • Edwin Mark K,
  • Kushal S,
  • Charan Tej P,
  • Afifa Salsabil Fathima
K L Srujan Surya
School of Computer Science and Engineering, REVA University, Bengaluru, India
Edwin Mark K
School of Computer Science and Engineering, REVA University, Bengaluru, India
Kushal S
School of Computer Science and Engineering, REVA University, Bengaluru, India
Charan Tej P
School of Computer Science and Engineering, REVA University, Bengaluru, India
Afifa Salsabil Fathima
School of Computer Science and Engineering, REVA University, Bengaluru, India
DOI: https://doi.org/10.5281/zenodo.15465000

Published 2025-05-19

Keywords

  • AI assistant,
  • justice system,
  • legal chatbot,
  • legal document summarization,
  • LLaMA 3.1

How to Cite

K L Srujan Surya, Edwin Mark K, Kushal S, Charan Tej P, & Afifa Salsabil Fathima. (2025). AI-Powered Interactive Legal Chatbot for the Department of Justice. International Journal of Computational Learning & Intelligence, 4(4), 809–817. https://doi.org/10.5281/zenodo.15465000

Copyright (c) 2025 K L Srujan Surya, Edwin Mark K, Kushal S, Charan Tej P, Afifa Salsabil Fathima

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

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. Thesystem 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.

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