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The has released the draft 'Regulations for Use of Artificial Intelligence (AI) in Courts, 2026', aiming to establish a governance framework for AI deployment within the judiciary. This initiative seeks to optimize court administration, improve access to justice, and reduce delays while strictly prohibiting AI from making independent judicial decisions, thereby preserving human judicial authority.
The introduction of AI in the judiciary touches upon fundamental aspects of justice delivery and constitutional rights. The regulations explicitly bar AI from adjudicative decisions, reaffirming that the judicial mind and human authority are determinative, thus safeguarding the right to a fair trial under Article 21 (Right to Life and Personal Liberty). The absolute prohibition on using AI for 'risk scoring' in bail eligibility or predicting recidivism is crucial, as such practices have historically exhibited bias, potentially violating Article 14 (Right to Equality). Furthermore, the decentralized implementation strategy, where High Courts can notify the regulations independently, respects the federal structure of the judiciary and allows for tailored adoption based on regional capabilities and requirements.
This move represents a significant step towards e-Governance and modernizing court infrastructure to tackle the massive backlog of cases. The permitted uses of AI—case management, transcription, translation, and legal research—are aimed at enhancing administrative efficiency and reducing pendency. The establishment of an institutional framework, including the Apex Body, AI Committees, and the Centre of Research and Excellence on Artificial Intelligence (CoRE-AI), demonstrates a structured approach to technology adoption. The requirement for a 'Technical and Ethical Impact Assessment' before deployment highlights a proactive stance on tech governance, ensuring that efficiency gains do not compromise transparency or ethical standards.
From a technological standpoint, the draft regulations address the risks associated with AI, particularly algorithmic bias and hallucinations (where AI generates false information). The prohibition of 'blackbox' (unexplainable) AI systems in matters affecting personal liberty is a critical safeguard, ensuring accountability. The life-cycle approach to safety, involving 'Controlled Environment Testing' and ongoing technical and ethical audits, is essential for maintaining the integrity of AI systems. The strict regulations on vendor agreements—mandating that source code and training data remain in-house and prohibiting private entities from claiming exclusive IP over tools built on judicial data—protect data sovereignty and prevent the privatization of public judicial resources.