LAW MATE-AI Driven Legal Assistance and Justice Accessibility Platform

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 3, pp. 334-341, March 2026.

https://doi.org/10.58482/ijersem.v2i3.43

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

LAW MATE-AI Driven Legal Assistance and Justice Accessibility Platform

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G Ravi Kumar

Y Vamsi Krishna

V Dilli Prasad

M Vishnu

Vicky Kumar Kushwaha

Sagar Kumar Singh

1Assistant Professor, Department of CSE, Siddartha Institute of Science and Technology, Puttur, AP, India.

2-6Department of CSE, Siddartha Institute of Science and Technology, Puttur, AP, India.

Abstract: The complexity of legal systems and the high cost of professional legal consultation create significant barriers to justice accessibility for common individuals. This paper presents LAW-MATE, an AI-driven legal assistance platform designed to simplify legal understanding and automate legal support services. The system leverages Natural Language Processing (NLP) and Machine Learning techniques to analyse user-submitted legal queries and generate structured outputs, including case classification, severity prediction, and retrieval of similar legal cases. The proposed framework utilizes TF-IDF for feature extraction, Logistic Regression for legal case classification, Random Forest for severity prediction, and cosine similarity for case-based retrieval. A microservices architecture is adopted to ensure scalability and efficient deployment of independent machine learning components. Additionally, the integration of the Gemini API enhances response generation and enables automated drafting of legal documents such as complaints and FIRs. Experimental observations indicate that the system delivers accurate and real-time legal assistance, significantly reducing dependency on legal professionals for basic queries. LAW-MATE improves legal awareness, minimizes time and cost involved in legal consultation, and enhances accessibility to justice. The proposed system demonstrates the potential of AI-driven legal technology in transforming traditional legal assistance into an intelligent, scalable, and user-centric solution.

Keywords: Artificial Intelligence, Legal Technology, Natural Language Processing (NLP), Machine Learning, Legal Case Classification.

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This article is part of Volume 2, Issue 3 (March 2026)