ARTIFICIAL INTELLIGENCE IN THE INDIAN LEGAL SYSTEM: CHALLENGES, OPPORTUNITIES AND THE FUTURE OF JUSTICE

Artificial intelligence (AI) is increasingly influencing the administration and practice of law in India. Its applications include legal research, document review, translation, transcription, case-information management, scheduling, and assistance in analysing large volumes of legal material. These tools may improve efficiency and access to justice in a system affected by substantial case backlogs, linguistic diversity and unequal access to legal services. At the same time, AI creates serious risks: inaccurate or fabricated legal authorities, algorithmic bias, privacy violations, opacity, cybersecurity threats, unequal access, and the possibility that automated recommendations may improperly influence judicial or professional judgment. This paper examines the opportunities and limits of AI in the Indian legal system through doctrinal legal research. It analyses constitutional principles, the Information Technology Act, 2000, the Digital Personal Data Protection Act, 2023 and its phased commencement, the Bharatiya Sakshya Adhiniyam, 2023, and selected judicial and institutional developments. Particular attention is given to the Supreme Court of India’s White Paper on Artificial Intelligence and Judiciary (November 2025), and its decision in Pooja Ramesh Singh v Jammu and Kashmir Bank Ltd. (2026), which addressed reliance on AI-generated fictitious authorities. The paper argues that AI should operate as a supervised support system rather than an independent decision-maker. It recommends human oversight, mandatory verification of legal sources, privacy-by-design, bias testing, transparent procurement, audit trails, professional training and accessible grievance mechanisms. The future legitimacy of legal AI in India depends not merely on technological capability, but on its compatibility with constitutional values, procedural fairness and the rule of law.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24011042
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

ARTIFICIAL INTELLIGENCE IN THE INDIAN LEGAL SYSTEM: CHALLENGES, OPPORTUNITIES AND THE FUTURE OF JUSTICE

Gorantla Udai Deepak, V.RAJITHA
2 links
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Law
article

ARTIFICIAL INTELLIGENCE IN THE INDIAN LEGAL SYSTEM: CHALLENGES, OPPORTUNITIES AND THE FUTURE OF JUSTICE

Gorantla Udai Deepak, V.RAJITHA
article en

Abstract

Artificial intelligence (AI) is increasingly influencing the administration and practice of law in India. Its applications include legal research, document review, translation, transcription, case-information management, scheduling, and assistance in analysing large volumes of legal material. These tools may improve efficiency and access to justice in a system affected by substantial case backlogs, linguistic diversity and unequal access to legal services. At the same time, AI creates serious risks: inaccurate or fabricated legal authorities, algorithmic bias, privacy violations, opacity, cybersecurity threats, unequal access, and the possibility that automated recommendations may improperly influence judicial or professional judgment. This paper examines the opportunities and limits of AI in the Indian legal system through doctrinal legal research. It analyses constitutional principles, the Information Technology Act, 2000, the Digital Personal Data Protection Act, 2023 and its phased commencement, the Bharatiya Sakshya Adhiniyam, 2023, and selected judicial and institutional developments. Particular attention is given to the Supreme Court of India’s White Paper on Artificial Intelligence and Judiciary (November 2025), and its decision in Pooja Ramesh Singh v Jammu and Kashmir Bank Ltd. (2026), which addressed reliance on AI-generated fictitious authorities. The paper argues that AI should operate as a supervised support system rather than an independent decision-maker. It recommends human oversight, mandatory verification of legal sources, privacy-by-design, bias testing, transparent procurement, audit trails, professional training and accessible grievance mechanisms. The future legitimacy of legal AI in India depends not merely on technological capability, but on its compatibility with constitutional values, procedural fairness and the rule of law.

Zenodo (CERN European Organization for Nuclear Research)
Peace, justice, and strong institutions
Openalex Percentile: Top 6%
Artificial Intelligence in Law
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon