International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Legal Ease AI – A Smart Legal Advisor for Citizens |
|---|---|
| ABSTRACT | This This The "Court Guide" is a self-contained, multilingual web application designed to demystify the complexities of the Indian legal system and enhance its accessibility for the general public. Built with a modern technology stack including Next.js, React, and Google's Genkit for AI, the application provides a suite of user-friendly tools without relying on an external database. Core features include an AI Legal Advisor, which uses a safe, keyword-based retrieval algorithm to provide curated and accurate answers to legal questions in English, Hindi, and Kannada. The AI Form Generator employs a hybrid approach, offering instant templates for common legal documents like Vakalatnama and using the Google Gemini model for more bespoke requests |
| AUTHOR | SAMEER B, SHAFIULLA SHARIFF, VINAYAKA P HALAKATTI, MOHAMMAD ALAM, VINAY J S, SHAHID KHAN Mentors, Department of Computer Science and Engineering, Jain Institute of Technology, Davangere, Karnataka, India UG students, Department of Computer Science and Engineering, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312118 |
| pdf/118_Legal Ease AI – A Smart Legal Advisor for Citizens.pdf | |
| KEYWORDS | |
| References | [1] Zhong, G., Z. Z. Yang, P.-Y. Chen, A. Iyengar, B. P. Chamberlain, and P. S. Yu. (2023). "Can Large Language Models be Good Company Lawyers? A Study on Their Legal Contract Comprehension Abilities."ArXiv preprint arXiv:2310.02187. [2] Bommarito, M. J., & Katz, D. M. (2022). "GPT-3 in the Legal Domain: A Study of Its Capabilities and Limitations." Available at SSRN 4182937. This paper explores the performance of LLMs on legal reasoning tasks, providing a baseline for understanding their potential and current shortcomings.Ghuge, K., Khillari, S., Sadawrate, A., Varpe, R., Shaikh, A. and Desai, R., 2025, June. FEARLESS: Women Safety Software. In 2025 International Conference on Computing Technologies (ICOCT) (pp. 1-6). IEEE. [3] Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press. This book provides a foundational argument for how technology can reshape court services to be more accessible and affordable for the public. [4] World Justice Project. (2023). Rule of Law Index. The annual index often highlights the "justice gap" and discusses the role that technology and innovation can play in improving access to justice globally. [5] Pasquale, F. (2015). The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press. This work offers a critical perspective on the need for transparency and safety in algorithmic systems, a core principle in the "Court Guide's" design. [6] Hadfield, G. K. (2017). "The Cost of Law: Promoting Access to Justice through the (Un)Corporate Practice of Law." International Review of Law and Economics. Discusses the market dynamics and regulatory barriers that technology-driven legal service providers like LegalZoom and Rocket Lawyer navigate to serve the public. [7] e-Committee, Supreme Court of India. (n.d.). e-Courts Mission Mode Project. The official documentation and reports from this project detail the Indian judiciary's efforts to digitize and make court processes more accessible, including initiatives for multilingual support. [8] Kunchukuttan, A., et al. (2020). "AI4Bharat: An Open-Source Initiative for Indian Language AI." Proceedings of the 1st Workshop on Speech and Language Technologies for Low-resource Languages (SLTU-2020). This and similar works highlight the technical challenges and progress in developing NLP models for diverse Indian languages, providing context for the app's multilingual feature. |
