Key Details
The draft regulations establish India’s first comprehensive governance framework for the use of artificial intelligence within courts, setting clear boundaries between administrative assistance and judicial decision-making.
• Coverage: Applies to the Supreme Court, High Courts, subordinate courts, tribunals, and statutory adjudicatory bodies.
• Core Principle: AI may assist judicial processes but cannot replace human judicial authority.
• Permitted Uses: Case management, scheduling, transcription, translation, legal research support, document verification, anonymisation, and public-facing assistance tools.
• Prohibited Uses: Adjudication, sentencing, bail-risk assessment, recidivism prediction, surveillance-based profiling, and prediction of future conduct.
• Governance Structure: Establishes a Supreme Court-level oversight framework alongside court-level AI Committees and Secretariats.
• Deployment Requirement: Every AI tool must undergo a Technical and Ethical Impact Assessment before implementation.
• Transparency Requirement: Courts must maintain AI registers and publish transparency and audit information.
• Data Protection: Judicial data cannot be transferred or processed outside approved safeguards.
Summary
Human Authority Remains Central to Judicial Decision-Making
The Supreme Court of India has released draft regulations governing the use of artificial intelligence within the judicial system, creating a common framework for courts across the country. The regulations establish human primacy as the foundational principle of judicial technology adoption, making it clear that AI systems may support court administration but cannot replace the judgement, discretion, or accountability of a human judicial officer.
The framework applies across the judicial hierarchy, including the Supreme Court, High Courts, subordinate courts, tribunals, and statutory adjudicatory bodies, marking one of India’s most comprehensive attempts to regulate AI deployment within a constitutional institution.
Administrative Uses Allowed, Judicial Functions Restricted
The draft regulations draw a clear distinction between administrative assistance and judicial decision-making.
Courts may deploy AI systems for functions such as case management, scheduling, transcription, translation, legal research support, document verification, anonymisation of records, and citizen-facing information services. These applications are intended to improve efficiency, accessibility, and administrative capacity within the justice system.
However, the framework imposes an explicit prohibition on AI systems being used for adjudication, sentencing, bail-risk assessment, recidivism prediction, or any automated determination of legal outcomes. AI-generated outputs also cannot be treated as evidence without disclosure and independent human verification.
New Governance and Accountability Architecture
The regulations create a structured oversight framework to govern future AI deployment in courts.
A central governance mechanism at the Supreme Court level will guide policy, standards, and oversight, while individual courts will establish dedicated AI Committees and Secretariats responsible for compliance, record-keeping, and incident management. The draft also mandates Technical and Ethical Impact Assessments (EIA) before deployment of new systems and proposes the creation of a Centre of Research and Excellence in Artificial Intelligence (CoRE-AI) to support testing, evaluation, and long-term research.
The framework further embeds privacy, transparency, and accountability safeguards, requiring courts to maintain AI registers, publish transparency information, and ensure that responsibility for judicial outcomes always remains with human decision-makers.
What is an "Ethical Impact Assessment" (EIA) in Judicial Technology?
An Ethical Impact Assessment (EIA) in judicial technology is a formal, multi-disciplinary review process conducted before deploying any software system within a court to check for potential violations of human rights, hidden data profiling biases, data privacy leaks, and disruptions to the principles of natural justice. Rather than judging code purely on its speed or engineering efficiency, an active EIA checks whether an algorithm's training datasets contain historical discrimination trends against vulnerable or marginalized groups. By forcing software developers to show how their code arrives at a conclusion, this assessment ensures that any tool used by a public institution remains transparent, auditable, and fully compatible with constitutional protections.
Policy Relevance
The publication of the Draft AI Court Regulations of 2026 marks a major advance in legal technology policy, replacing uncoordinated software additions with a unified, rights-based governance framework to protect the integrity of India's sub-national legal system.
Protects the Judicial System from Biased Machine-Learning Precedents: Placing an absolute ban on autonomous risk-scoring and recidivism prediction ensures that India's criminal justice system does not absorb biased profiling trends, keeping bail and sentencing decisions strictly in human hands.
Accelerates the Clearing of Case Backlogs via Automated Administration: Allowing courts to use AI for case management, document verification, and multilingual transcriptions cuts down on routine paperwork, allowing judges to focus their time on resolving long-delayed trials.
Insulates Sensitive State Legal Data from Corporate Exploitation: Enforcing strict rules on private sector engagement and data ownership ensures that external tech vendors cannot monetize or leak sensitive case records, protecting sovereign data security.
Bridges the Digital Divide through Accessible Public Legal Portals: Requiring all permissible AI interfaces to focus heavily on inclusivity and accessibility tools helps non-English speaking and marginalized litigants interact with the courts easily, improving access to justice without requiring expensive intermediaries.
Institutionalizes a Predictive System for Tech Safety through CoRE-AI: Setting up the Centre of Research and Excellence (CoRE-AI) to run controlled testing environments ensures that new legal-tech applications are thoroughly audited for software bugs and security leaks before being deployed in live courtrooms.
Follow the Full News Here: Supreme Court of India: Public Notification on the Draft Regulations for Use of Artificial Intelligence (AI) in Courts