What happened
Chief Justice of India Justice Surya Kant stated AI must strengthen, not replace, human judicial decision-making. At a Bengaluru seminar, Justice Kant affirmed AI's utility for managing data, identifying patterns, and reducing procedural delays, but cautioned against its role in adjudication. He stressed human judges must retain the final judgment phase for transparency and accountability. Karnataka HC Chief Justice Vibhu Bakhru and Bar Association of India President Prashant Kumar also highlighted AI's potential for dispute prediction, online resolution, and judgment translation.
Why it matters
Judicial systems globally now face a clear directive on AI's role, limiting its application to assistive functions and blocking its use in core adjudicatory processes. This establishes a policy boundary, preventing AI from influencing the final judgment phase, constraining legal tech founders and architects. While AI can reduce procedural delays and improve access through translation, its deployment for automated decision-making in courts is explicitly restricted. This follows recent India Supreme Court concerns over AI misconduct, reinforcing a cautious approach to AI integration.
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