Open Access Open Access  Restricted Access Subscription Access

Nyaya Bot - AI Court Room Assistant for Justice Access

Ashwini K, Binduja L, Harshitha P Harshitha P, Deepak NR, Vinoth Kumar S

Abstract


Access to justice remains a major challenge for millions of citizens, especially those from rural and economically disadvantaged communities. Complex legal language, limited awareness of rights, and dependence on intermediaries often prevent individuals from engaging effectively with the justice system. This project proposes an AI Courtroom Assistant, a multilingual, AI-driven platform designed to simplify legal processes and improve justice accessibility. The system enables users to upload FIRs, court notices, or legal documents, which are then automatically analyzed and summarized in simple language. It provides a chatbot-based interface for resolving legal queries, intelligently classifies user issues, and offers guidance on rights, legal procedures, and relevant government schemes. Additionally, the assistant can auto-generate essential documents such as petitions, FIR drafts, and complaints through user-friendly forms. A built-in complaint management module allows users to register, track, and manage their cases efficiently. By combining natural language processing, legal knowledge databases, and recommendation systems, the AI Courtroom Assistant aims to empower citizens, reduce exploitation by middlemen, and support faster engagement with legal institutions, thereby contributing to SDG 16: Peace, Justice, and Strong Institutions.

Full Text:

PDF

References


Savelka and Ashley (Frontiers in AI, 2023) showed that LLMs like GPT-3.5 and GPT-4 can perform zero shot semantic annotation of legal texts, accurately identifying sentence roles without requiring fine-tuning.

Follow-up research by Savelka (arXiv, 2023) confirmed GPT’s effectiveness across contracts, statutes, and court opinions, demonstrating strong generalization in legal semantic labelling tasks.

A 2025 study in Symmetry proposed a Retrieval-Augmented Generation framework that improves the accuracy and reliability of legal text summarization through domain-specific grounding.

Together, these studies highlight the potential of modern LLMs to support practical legal workflows such as annotation, summarization, and intelligent legal assistance.

Advancing Access to Justice via Information and Communication Technology-World Bank report on ITC for closing the justice gap(Overview of tech-enabled justice reforms)

The accuracy, fairness, and limits of predicting recidivism - Dressel & Farid(2018) : empirical evaluation of COMPAS And human predictions.

Improving Access to Justice with Legal Chatbots - MDPI paper Describing chatbot prototypes and evaluation for legal help.

Machine Bias - ProPublica investigation into COMPAS and Algorithm bias in criminal justice.

Algorithm Fairness (Kleinberg et al.) - formal treatment of Fairness tradeoffs in criminal - justice algorithms.

EU AI ACT (overview/policy pages)-background and regulation classifying high-risk AI(implications for judicial use)


Refbacks

  • There are currently no refbacks.