Overview
The adoption of Artificial Intelligence within judicial systems has the potential to fundamentally reshape the administration of justice. Recognising both its opportunities and risks, the Supreme Court of India’s Artificial Intelligence Committee released the Draft Regulations for Use of Artificial Intelligence (AI) in Courts, 2026, proposing a governance framework for the responsible deployment of AI across the Indian judiciary.
In response, The Dialogue has submitted a detailed set of comments and suggestions, informed by legal, technological, and policy perspectives. The submission seeks to support the development of a governance framework that is not only principled in design but also practical, inclusive, and capable of addressing the realities of India’s diverse judicial ecosystem.
What You’ll Discover
The submission examines several foundational questions surrounding AI governance in the justice system, including:
- How should AI be governed within courts while preserving judicial independence and human oversight?
- What institutional architecture is necessary to ensure accountability, transparency, and public trust?
- How can courts address automation bias, algorithmic opacity, and AI-related grievances?
- What safeguards are needed to ensure that AI adoption strengthens, rather than widens, access to justice across India?
It also explores issues relating to capacity building, district court readiness, digital inclusion, transparency mechanisms, vendor accountability, and the evolving relationship between technology and judicial decision-making.
Why It Matters
The introduction of AI into the justice system is not merely a technological transition; it is an institutional one. As courts increasingly explore AI-assisted processes, governance frameworks must ensure that innovation is accompanied by accountability, constitutional safeguards, and meaningful human oversight.
What should responsible AI governance in courts look like? And how can India’s judiciary harness emerging technologies without compromising fairness, transparency, or public confidence? Explore the full submission to discover our recommendations.