Set the Guardrails for AI Use in Courtrooms
Why in News?
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In July 2025, the Kerala High Court published the first policy in India directly addressing AI use in judicial processes.
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Aim → improve efficiency in courts (with 5 crore pending cases) but ensure strict safeguards.
Opportunities of AI in Courts
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Efficiency boost: AI tools (translation, transcription, defect identification) → reduce delays.
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Support functions: Transcription of arguments, witness depositions, document analysis.
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Judicial transparency: Digital search and better access to precedents.
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Cost reduction: Automated workflows and faster drafting.
Challenges & Risks
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Accuracy & Hallucinations
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Wrong translations: e.g., “leave granted” → “holiday approved”.
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AI mishearing/transcription errors: claimant “Noel” → “no”.
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LLMs inventing (“hallucinating”) cases and citations.
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Bias & Search Engine Influence
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Legal research influenced by algorithmic bias → invisibilising relevant precedents.
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Over-reliance on Rule-based AI
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Risk of reducing adjudication to mechanical inference → ignoring judicial reasoning, context & precedent.
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Data Security & Privacy
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AI pilots without clarity on access, storage & use of sensitive data.
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Dependency on private vendors without legal safeguards.
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Infrastructure Gaps
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Courts still largely paper-based.
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AI demands reliable internet, hardware, and specialised technical staff.
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Need for Guardrails
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AI Literacy & Capacity Building
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Train judges, lawyers, staff on both use & limitations.
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Judicial academies + bar associations + AI experts.
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Guidelines for Responsible Use
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Mandatory disclosure if AI is used in judgment writing/research.
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Litigants’ right to be informed, with opt-out provisions in pilots.
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Standardised Procurement Framework
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Pre-procurement checks:
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Is AI necessary?
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Explainability & reliability.
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Risk management and data protection.
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Monitor vendor compliance & performance.
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Institutional Support
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eCourts Phase III → recommends technology offices.
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Specialists to guide courts in AI adoption.
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Avoid ad-hoc pilots, ensure sustainable integration.
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Way Forward
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Balance efficiency with justice: AI should support, not substitute judicial reasoning.
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Ethical AI adoption: Transparency, accountability, and litigant rights central to reforms.
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Institutional readiness: Digital infrastructure + regulatory frameworks needed before large-scale AI rollout.
