AI in Indian Courts: Analysing the Supreme Court’s Draft Regulations, 2026

ABSTRACT

Artificial Intelligence has started becoming an essential part of the Indian judiciary legal system, which offers important benefits in legal research, translation, case management, and other types of operational functions. The Supreme Court has proposed the Draft Regulations for the Use of Artificial Intelligence in Courts, 2026, which was released on 3rd June 2026.[1] This article talks about the key features of the proposed regulations, which include their guiding principles, permissible and prohibited uses, governance structure, and accountability mechanisms. It then evaluates the strengths and limitations of the Draft Regulations and analyses whether they balance technological innovation effectively with judicial independence, transparency, fairness, and constitutional values.

I. INTRODUCTION

In today’s world, AI is rapidly and continuously transforming various sectors all over the world, including the legal profession and judicial system. AI tools are capable of performing several administrative and research functions, like legal research, translating documents, managing case records, and assisting in administrative functions. AI offers great benefits, but it also creates concerns about accuracy, privacy, accountability, and judicial independence; to address these concerns and ensure responsible and proper use of AI within the judiciary, the Supreme Court has proposed these regulations.[1]

The main objective of these regulations is to ensure that AI is used in a manner consistent with the principles of Human Primacy, transparency, accountability, data protection, and judicial independence. The regulations on the use of AI in courts will be applicable to the Supreme Court, High Courts, subordinate courts, tribunals, and statutory commissions all across India. This article analyses the Draft of the Regulations and examines whether they show a proper balance between the use of AI and the constitutional principles of fairness, transparency, accountability, and judicial independence.

II. BACKGROUND TO THE LEGAL DEVELOPMENT

Phase III of e-Courts places significant emphasis on developing AI tools tailored specifically to the institutional needs of the Indian judiciary.[3] The deployment of AI is aimed at addressing core challenges of backlogs, uneven access, linguistic barriers, and the heavy administrative load that diverts judicial time from adjudication.[4] An evidence-driven and more efficient judicial workflow is promoted through the integration of advanced natural language processing, machine learning, and data analytics. The tools being developed are intentionally directed at high-volume, labour-intensive domains such as case management, legal research, and translation of judicial texts.

The Supreme Court introduced the Supreme Court Portal for Assistance in Court Efficiency (SUPACE), an AI-driven platform developed to support judges in managing complex caseloads.[4] SUPACE is designed to analyse vast quantities of case records, identify legally relevant material, and extract key precedents with remarkable speed. SUVAS (Supreme Court Vidhik Anuvaad Software) was conceived precisely to address this linguistic deficit.[4] Developed using AI and machine learning, SUVAS is a translation platform designed specifically for legal documents.[4] To further support judicial research, the Indian judiciary has introduced LegRAA (Legal Research Analysis Assistant), an AI-based tool designed to help judges locate relevant legal materials more efficiently. In addition, Digital Courts 2.1 offers a paperless platform that enables judges to manage cases and court records digitally, combined with voice-to-text (ASRSHRUTI) and translation (PANINI) capabilities. These regulations are necessary because of various concerns involved with AI, such as algorithmic bias, lack of transparency, and privacy issues, which are critical to maintaining public trust in the judicial system.[6]

III. THE SUPREME COURT’S DRAFT REGULATIONS

Principles Governing AI
The Supreme Court has proposed a draft of the regulation to ensure responsible use of AI in courts.[1] The core principles governing AI are Human Primacy, Rule of Law, Fairness and non-discrimination, Transparency and Explainability, Accountability, data protection, and cyber security.

Permitted Uses
The regulation identifies certain permissible uses of AI under regulation 19 of the proposed draft:[1]

1. Legal Research: Identification of judicial precedents, analysis of case laws, and legal research can be done more efficiently.
2. Translation: Translation of judgments, pleadings, and other legal documents, making legal information accessible across languages.
3. Transcription: Converting courtroom proceedings into written records quickly and efficiently.
4. Case Management: Organising records, tracking cases, and reducing administrative burden.
5. Scheduling: Scheduling and preparation of the cause list to manage workload effectively.
6. Accessibility Tools: Improving access to justice for persons with disabilities and individuals facing language barriers.
7. Document Verification: Assisting in document verification and analysis for large volumes of legal materials.

Prohibited Uses
The regulation identifies certain prohibited uses of AI under regulation 20 of the proposed draft:[1]

1. Decide Cases: AI is not allowed to decide the outcome of a case or deliver judgments; deciding disputes remains exclusively with human judges.
2. Sentence Offenders: AI cannot recommend or impose criminal sentences.
3. Predict Criminal Behaviour: Predicting whether an individual is likely to commit a crime or reoffend is prohibited due to risks of inaccuracy and discrimination.
4. Eligibility for Bail: Decisions relating to bail and personal liberty must be made by human judges on merit.
5. Conduct Surveillance: Unauthorised surveillance or monitoring infringing privacy rights is strictly prohibited.
6. Opaque Black-Box Systems: AI systems whose decision-making process cannot be explained or understood are restricted from judicial functions.

Governance Framework
Chapter 4 of the draft regulations establishes an institutional framework for implementation and oversight:[1]

1. Apex Body (Regulations 22–24): Serves as the principal governing authority, formulating policies, approving AI systems, issuing operational guidelines, and ensuring compliance.[1]
2. Centre of Research and Excellence on AI (CORE) (Regulation 32): Promotes research, develops best practices, evaluates upcoming technologies, and assesses risks.[1]
3. AI Committees (Regulation 33): Established to oversee AI operations within respective jurisdictions and coordinate with the Apex Body.[1]
4. AI Secretariat (Regulation 34): Functions as the administrative body facilitating communication, record-keeping, and compliance monitoring.[1]

IV. LEGAL ANALYSIS

Regulation 4 clearly establishes AI as an assistant and not as a judge by adopting a “Human-in-the-Loop” (HITL) approach.[1] Every important decision must finally be reviewed or made by a human judge. Judges remain free to accept, modify, or reject AI recommendations, ensuring that AI outputs remain purely advisory without independent legal authority. To preserve transparency and accountability, the draft incorporates specific safeguards including verification of AI outputs (Regulation 8(3)), mandatory disclosure of AI-assisted documents (Regulations 43(3) & 43(4)), liability for AI-generated errors (Regulations 8(1) & 43(6)), and an AI content verification authority (Regulation 44).[1]

V. MERITS AND DEMERITS OF THE DRAFT REGULATIONS

Merits of the Draft Regulations
1. Human Primacy Preserved: AI functions strictly as an assistive tool, maintaining judicial independence and public confidence.
2. Strong Accountability Framework: Mandatory output verification and clear accountability for AI errors ensure human responsibility.
3. Clear Prohibited Uses: Core judicial functions involving fundamental rights remain strictly under human control.
4. Data Protection: Safeguards confidential judicial data through security measures and statutory data protection compliance.
5. Encourages Innovation: Promotes technology adoption while protecting the integrity of legal proceedings.

Demerits of the Draft Regulations
1. Over-Reliance on Human Verification: Risk of cognitive bias where judges or officials automatically trust AI recommendations.
2. Explainability Challenge: Practical difficulties in demystifying complex black-box algorithms.
3. Unclear Liability Framework: Ambiguity in assigning legal responsibility when errors arise from vendor software flaws.
4. Resource and Infrastructure Burden: Substantial financial investment and continuous training required for effective implementation.

VI. CONCLUSION

The draft regulations proposed by the Supreme Court of India mark an essential step towards the ethical and responsible deployment of AI in courts.[1] By framing AI strictly as an assistive tool rather than a judicial replacement, the framework protects judicial independence while enhancing access to justice. Addressing remaining challenges regarding explainability and vendor liability through periodic reviews will allow India to establish a transparent, human-centric model for judicial AI governance.

REFERENCES

[1] Supreme Court of India, Draft Regulations for the Use of Artificial Intelligence in Courts, 2026 (June 3, 2026), https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/06/2026060342.pdf.
[2] Supreme Court of India, White Paper on Artificial Intelligence and the Judiciary (Nov. 2025), https://cdn.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2025/11/2025112244.pdf.
[3] Press Information Bureau, Government of India, Press Release, Feb. 27, 2025, https://www.pib.gov.in/PressReleasePage.aspx?PRID=2226283&reg=48&lang=2.
[4] Artificial Intelligence (AI) in Indian Judiciary, Drishti Judiciary, https://www.drishtijudiciary.com/editorial/artificial-intelligence-ai-in-indian-judiciary.
[5] Centre for Studies in Judicial Administration, Role of AI in Modern Judicial System, https://csja.gov.in/pdf/study_material/Role%20of%20AI%20IN%20MODERN%20SYSTEM.pdf.
[6] AI in Judicial Decision-Making, International Journal of Law, Management & Humanities, https://ijlmh.com/wp-content/uploads/AI-in-Judicial-Decision-Making.pdf.
[7] Artificial Intelligence and Constitutional Adjudication in India, Legal Research & Analysis, https://legalresearchandanalysis.com/artificial-intelligence-and-constitutional-adjudication-in-india/.