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Stream/Area:
-
Subject:
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Paper ID:
IJSREM61865
Volume:
10 |
4 |
April 2026
Pages:
1--
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
independent researcher
Ananya Institute of Commerce and Law, Kalol, India
The Indian justice system is no longer an artificial-intelligence concept; it has become part of the judicial administration system through translation tools, online case management, online filing, virtual courts, and information-based infrastructure. The judiciary in India has been facing an alarming level of pendency, extreme digitization, and increasing demands from the population for access, speed, and transparency. According to the official sources, the e-Courts Phase III project has been passed, and the outlay is in the form of Rs. 7,210 crore. The Supreme Court and the e-Committee have persisted in increasing digital infrastructure like the National Judicial Data Grid, e-filing, live streaming, e-Sewa Kendras, virtual courts, SUPACE, and SUVAS. These advances open up significant possibilities to research and translation of law, scheduling, management of documents, access to citizens, and transparency of institutions. Meanwhile, they raise serious constitutional and legal issues concerning equality before the law, due process, privacy, explainability, accountability, bias, and maintenance of judicial independence. The current paper uses a descriptive doctrinal approach relying on secondary sources to discuss the ways AI can transform the Indian judiciary. It contends that AI can reinforce judicial capacity provided it is not decisional but supportive, is built into constitutional protections, and managed by an open techno-legal system. The paper also states that the appropriateness of AI in courts cannot be solely based on efficiency assertions but rather on whether it safeguards the principles of fair trial, rational adjudication, non-discrimination, open justice, and meaningful human supervision. The normative elements in the assessment of AI in judicial proceedings are found in the constitutional assurance of equality in Article 14, the safeguarding of life and personal liberty in Article 21, and the principles of privacy as established in Justice K.S. Puttaswamy v. Union of India, and the logic of transparency identified in the RTI jurisprudence in India.
KEYWORDS
The Indian judiciary has a constrained yet real opportunity presented by AI. It is able to enhance research, translation, data management, and services to the citizens. Such tools can assist courts to work more efficiently in a system that is overloaded with huge caseloads and lengthy delays. Much of the digital infrastructure required to such integration has already been developed in India: e-Courts Phase III, the NJDG, e-filing, e-payments, virtual courts, e-Sewa Kendras, live-streaming systems, SUPACE, and SUVAS are evidence that the judiciary has already passed through the doorstep of digitization and is already in the active phase of institutional change. But judicial legitimacy is automatable. The Indian constitutional promise of justice needs to go beyond administrative efficiency. Article 14 equality, Article 21 liberty and fair process, Puttaswamy informational privacy and transparency as a democratic value collectively establish strict limits in the application of AI in the courts. AI should be able to aid judges, but it should not be an unseen co-adjudicator. It may widen access; it must not reproduce inequality. It could enhance transparency; it should never establish black-box computational power. The future of AI in the Indian judiciary must thus be constitutional, cautious, and human-focused. A constitutional assistive AI model is the most justifiable Indian direction. Within this kind of paradigm, AI would be allowed to be used in translation, search, help in scheduling, organisation of documents, and analytics in administration, but substantive adjudication would be strictly human. Disclosure, audit, bias testing, privacy compliance and institutional accountability must govern every meaningful use. The judicial officers need to be trained to realise the usefulness and scope of AI tools. The litigants should not be kept ignorant that some technology has been involved in a process that has impacted them. Whether courts embrace AI quickly will not matter as much as whether they embrace it justly will do so and will enhance public trust. This is what the future of AI in the Indian judiciary should be gauged.
[1]. Constitution of India. India Code. [2]. Digital Personal Data Protection Act, 2023. India Code / MeitY text. [3]. Department of Justice, Government of India. e-Courts Phase III. [4]. Department of Justice, Government of India. Rajya Sabha replies on e-Courts Phase III and judicial digitisation, 2024–2025. [5]. e-Committee, Supreme Court of India. Homepage and project overview. [6]. e-Committee, Supreme Court of India. Vision document for Phase III of e-Courts Project. [7]. National Judicial Data Grid. Official dashboard. [8]. Supreme Court of India. Supreme Court case data grid. [9]. Press Information Bureau. Use of AI in Supreme Court Case Management, 20 March 2025. [10]. Press Information Bureau. Use of Artificial Intelligence in Legal Field, 11 December 2025. [11]. Press Information Bureau. Information on SUVAS and AI translation in the judiciary, 10 August 2023. [12]. Press Information Bureau. Supreme Court collaboration with High Courts for translation of e-SCR judgments, 3 April 2025. [13]. Supreme Court of India / e-Committee. Live streaming page and model rules for live-streaming and recording of court proceedings. [14]. Supreme Court of India. RTI page. [15]. Justice K.S. Puttaswamy (Retd.) v. Union of India, Supreme Court of India, 2018. [16]. Central Public Information Officer, Supreme Court of India v. Subhash Chandra Agarwal, Supreme Court of India, 2019. [17]. IndiaAI / MeitY materials on AI governance guidelines development and AI governance guidelines, 2025–2026. [18]. NITI Aayog. Principles for Responsible AI and Operationalizing Principles for Responsible AI.
Publication Date
4/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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