It stated that no national Policy or Guidelines currently govern AI deployment inside courts. Instead, only limited Pilot projects run under eCourts Phase-III. Meanwhile, individual High Courts have begun crafting their own safeguards. Moreover, recent cases featuring fabricated citations have fuelled caution. As debate intensifies, Judicial Governance now sits at the heart of legal technology conversations. Nevertheless, clarity remains elusive, creating operational and ethical challenges.

National AI Policy Void

Parliament heard on 5 December 2025 that no formal national framework exists. Instead, LegRAA, Digital Courts 2.1, and other tools operate only within controlled Pilot sandboxes. Furthermore, Minister Arjun Ram Meghwal highlighted risks around algorithmic Bias, data Privacy, and language accuracy. Therefore, every AI output still requires human verification. The e-Committee also formed sub-groups to draft eventual Guidelines. Additionally, Rs 7,210 crore have been set aside for eCourts Phase-III, with over 224 crore High Court pages already digitised. These figures illustrate ambition yet underscore the missing nationwide Policy. Such gaps hamper consistent Judicial Governance across diverse jurisdictions. Consequently, litigants receive uneven digital experiences.

These uncertainties highlight the governance vacuum. In contrast, several states are no longer waiting for Delhi. The next section reviews sub-national steps.

Kerala Court Sets Policy

On 19 July 2025 the Kerala High Court issued India’s first dedicated AI Policy for the district judiciary. Moreover, the order bans AI for deciding findings, reliefs, or judgments. Judges may use approved tools only for drafting assistance, subject to audit logs. Additionally, the circular mandates staff training and restricts external cloud services, citing Privacy concerns. Strict human checks aim to curb model Bias and hallucinations. Consequently, Kerala has become a living laboratory for cautious innovation. Observers view its approach as a template for future national Guidelines. However, implementing the rules requires resources and vigilant oversight, especially in rural districts.

Kerala’s example shows vigilance can coexist with experimentation. Nevertheless, other states remain fragmented, awaiting central direction.

Rising Hallucination Incidents

Courts nationwide are already confronting AI-generated misinformation. Delhi High Court dismissed a petition on 26 September 2025 after detecting fabricated citations. Subsequently, judges warned counsel that professional discipline could follow similar lapses. Moreover, Bar & Bench analyses explain how large language models hallucinate non-existent precedents. These incidents demonstrate tangible dangers linked to unchecked automation. Therefore, robust Policy and practical Guidelines become urgent. Meanwhile, litigators must double-check every AI suggestion to avoid sanctions. Effective Judicial Governance will hinge on embedding verification workflows.

Pilot Tools At Glance

• LegRAA: Legal search assistant tested for rapid precedent retrieval.
• Digital Courts 2.1: Suite featuring SHRUTI auto-transcription and PANINI translation.
• ASR accuracy remains uneven across dialects, raising Bias questions.
• Data stored on secured infrastructure to preserve Privacy.
• Outputs undergo mandatory human review during current Pilot phase.

These pilots illustrate potential productivity gains. Nevertheless, the hallucination cases warn against premature reliance.

Opportunities And Cautions

Proponents cite efficiency, multilingual access, and reduced clerical workloads. For example, SHRUTI transcribes hearings, saving hours. Moreover, PANINI bridges language gaps for litigants. Additionally, automated templates can fast-track routine orders. Consequently, case backlogs could shrink. Yet serious obstacles persist. Algorithmic Bias may replicate historical inequities. Data Privacy worries intensify because court files include sensitive personal details. Furthermore, black-box reasoning conflicts with constitutional duties to give transparent reasons. Judges such as Justice Bhushan R. Gavai underscore the need for human empathy. Therefore, balanced Guidelines must place people before code.

Opportunities will materialise only when risks receive equal attention. The following roadmap suggests actionable steps.

Roadmap For Judicial Governance

Stakeholders now demand a cohesive playbook. Firstly, the Supreme Court’s e-Committee should consolidate Kerala’s lessons into baseline national Guidelines. Secondly, phased certification and training can build capacity. Professionals can enhance their expertise with the AI Project Manager™ certification. Moreover, mandatory audit trails will promote accountability and reduce Bias. Thirdly, privacy-by-design principles must govern infrastructure selection, limiting third-party data exposure. Fourthly, independent ethical review boards can evaluate each new Pilot before scale-up. Such measures will strengthen Judicial Governance while preserving judicial independence.

Implementing this roadmap demands sustained political will. Nevertheless, coherent action now can prevent costlier fixes later.

Comprehensive rules will protect litigants and enhance trust. Consequently, the judiciary can harness AI responsibly and fairly.

Conclusion And Next Steps

India stands at a pivotal moment. National courts run promising pilots, yet a binding framework remains absent. Meanwhile, Kerala demonstrates that cautious innovation is possible. Recent hallucination incidents reveal concrete dangers, reinforcing the need for rigorous Guidelines. Balanced Judicial Governance must address efficiency, Privacy, and Bias together. Moreover, continuous training and certified expertise will support responsible adoption. Readers should monitor forthcoming e-Committee drafts and consider specialised credentials to shape this evolving landscape. Act now, stay informed, and lead the conversation on ethical courtroom technology.