‘Don’t fear AI, use it carefully and consciously’, says CJI Surya Kant

# CJI Surya Kant: Use AI Carefully in Courts

By Legal Affairs Desk, New Delhi | April 19, 2026

On April 18, 2026, Chief Justice of India (CJI) Surya Kant urged the legal fraternity to embrace Artificial Intelligence (AI) without fear, emphasizing its cautious and conscious integration into the justice delivery system. Speaking at the 22nd biennial state-level conference of judicial officers organized by the Karnataka State Judicial Officers Association in Bengaluru, CJI Kant addressed growing anxieties regarding technological disruption in the courts. He advocated for AI as a vital assistive tool to tackle India’s mounting judicial backlog, stressing that while advanced technology can streamline heavy administrative and clerical tasks, the fundamental core of judicial reasoning and empathy must remain profoundly human. [Source: Hindustan Times]

## The Call for Technological Synergy in Courts

The intersection of law and technology has long been a subject of intense debate, but CJI Surya Kant’s address in Bengaluru marked a definitive moment in the Indian judiciary’s approach to modernization. Addressing hundreds of judicial officers, the Chief Justice highlighted that the evolution of the courtroom is inevitable. Rather than resisting the tide of digital transformation, the legal ecosystem must pivot toward technological synergy.

“Do not fear AI; instead, use it carefully and consciously,” CJI Kant remarked during his keynote address. He elaborated that technology should be viewed as an enabler rather than an adversary. The traditional image of the courtroom—characterized by towering stacks of physical files and prolonged procedural delays—is gradually being replaced by digital dockets and virtual hearings. The CJI noted that judicial officers at the district and state levels are the frontline warriors of the justice system, and equipping them with cutting-edge tools is not just an option, but a systemic necessity. [Source: Hindustan Times | Additional: Supreme Court E-Committee Vision Document]

## Addressing the Fear of Technological Obsolescence

A significant portion of the CJI’s speech was dedicated to assuaging the prevalent fears of technological obsolescence among legal practitioners. Ever since the advent of advanced Generative AI and large language models (LLMs) capable of drafting petitions and summarizing dense case laws, murmurs about the “end of the lawyer” or the “automation of the judge” have circulated within bar associations across the country.

CJI Kant firmly dismissed these dystopian narratives. He clarified that AI lacks the capacity for human empathy, moral judgment, and the nuanced understanding of socio-economic contexts that are indispensable to the dispensation of justice. AI can rapidly retrieve precedents, cross-reference massive volumes of legal texts, and identify anomalies in evidence, but it cannot weigh the scales of equity.

“The fear that machines will replace the bench or the bar is unfounded,” notes Dr. Aarav Desai, a Legal Tech Ethics Scholar at the National Law School of India University. “The Chief Justice’s remarks perfectly encapsulate the ‘Human-in-the-Loop’ philosophy. AI is the paralegal that never sleeps, but the judge remains the ultimate arbiter of constitutional values.” [Source: Independent Expert Analysis | Additional: Legal Tech Journal 2026]

## Evolution of AI Initiatives in the Indian Judiciary

The Chief Justice’s endorsement of AI does not exist in a vacuum; it builds upon several pioneering initiatives already set in motion by the Supreme Court’s e-Committee. By 2026, the Indian judiciary has seen the maturation of tools designed specifically to address the unique complexities of the Indian legal landscape.

**Key AI-driven initiatives include:**
* **SUVAS (Supreme Court Vidhik Anuvaad Software):** An AI-trained machine learning tool utilized to translate Supreme Court judgments into regional languages. In a linguistically diverse nation like India, SUVAS has revolutionized access to justice by allowing litigants to read verdicts in their mother tongues.
* **SUPACE (Supreme Court Portal for Assistance in Court’s Efficiency):** Designed as an AI research assistant for judges, SUPACE processes vast amounts of data, extracts relevant facts, and tracks legal issues without offering advisory opinions, ensuring the judge’s autonomy is never compromised.
* **Smart Scheduling Algorithms:** AI tools are now being tested in pilot high courts to optimize case listings, minimizing the waiting time for litigants and preventing the frequent collapse of daily court boards. [Source: Ministry of Law and Justice Publications | Additional: E-Courts Phase III Framework]

## The Ethical Tightrope: Navigating Bias and Hallucinations

While advocating for technological adoption, CJI Kant’s deliberate use of the words “carefully and consciously” underscores the profound ethical risks associated with artificial intelligence. The legal field demands an unparalleled standard of factual accuracy, an area where AI has historically faltered through phenomena known as “hallucinations”—where an AI confidently generates false information or invents non-existent legal precedents.

Global legal history is already dotted with cautionary tales, such as early incidents in the United States where attorneys submitted AI-generated briefs containing entirely fabricated case citations. Furthermore, there is the persistent danger of algorithmic bias. AI systems trained on historical judicial data can inadvertently inherit and perpetuate societal prejudices related to caste, gender, and religion.

The conscious use of AI, therefore, demands rigorous auditing of algorithms. The Indian judiciary is currently working toward establishing strict guardrails to ensure that AI applications used in courts are transparent, explainable, and free from discriminatory biases. Any predictive policing or automated sentencing software has been strictly kept at bay, preserving the fundamental right to a fair, human trial.

## Tackling the Substantial Case Backlog

Perhaps the most compelling argument for the integration of AI in the Indian judiciary is the staggering pendency of cases. As of early 2026, data from the National Judicial Data Grid (NJDG) indicates that pending cases across all tiers of the Indian judiciary have crossed the 50 million mark. This immense backlog places an unsustainable burden on judicial officers, leading to the well-worn adage: “Justice delayed is justice denied.”

AI holds the transformative potential to restructure how this backlog is managed. By utilizing natural language processing (NLP), AI can cluster similar types of litigation—such as thousands of routine traffic challans, cheque bounce cases under Section 138 of the Negotiable Instruments Act, or standardized motor accident claims. Once clustered, these matters can be swiftly routed to Lok Adalats (people’s courts) or specialized fast-track benches for mass disposal.

Moreover, AI can identify bottlenecks in the lifecycle of a case, alerting registries when a particular matter has been delayed by repetitive adjournments. This data-driven approach empowers chief justices of high courts to allocate resources dynamically, ensuring that judge strength is directed where it is needed most. [Source: National Judicial Data Grid 2026 Data | Additional: Legal Industry Reports]

## Bridging the Digital Divide

A recurring theme in the broader discourse on e-courts, which the CJI’s remarks invariably touch upon, is the digital divide. India’s legal infrastructure is highly asymmetrical; while the Supreme Court and metropolitan High Courts boast state-of-the-art digital facilities, many taluka and district-level courts still struggle with basic digital infrastructure and internet connectivity.

Implementing AI “carefully” also implies an inclusive rollout. For AI to truly revolutionize the Indian justice system, capacity building must occur at the grassroots level. The Karnataka State Judicial Officers Association conference served as a vital platform to address these localized challenges. Training modules are being developed to ensure that judicial officers, court staff, and local bar association members are digitally literate and capable of leveraging these new tools.

“A tech-forward judiciary cannot leave the rural litigant behind,” explains Senior Advocate Meera Swaminathan. “The true success of the CJI’s vision will be measured not by how sophisticated the Supreme Court’s AI becomes, but by how easily a district judge in a remote district can use it to deliver a timely verdict.” [Source: Public Policy Legal Discourse]

## Formulating a Regulatory Framework for Legal AI

As the use of AI accelerates, the need for a comprehensive regulatory framework governing its use in the legal domain becomes urgent. Currently, India relies on broader IT statutes and data protection laws, but specific guidelines for AI in courtrooms are still in their formative stages.

The Supreme Court is expected to lead the charge in establishing a “Code of Ethics for Legal AI.” This framework would likely dictate the boundaries of AI usage, explicitly banning it from substantive decision-making while encouraging its use in translation, transcription, case management, and preliminary legal research. CJI Kant’s call for conscious use sets the philosophical groundwork for this impending regulatory architecture, ensuring that technology serves the Constitution, not the other way around.

## Conclusion: Key Takeaways and Future Outlook

CJI Surya Kant’s address in Bengaluru provides a clear, pragmatic roadmap for the future of the Indian legal system. The key takeaways are unambiguous: the integration of Artificial Intelligence is necessary to combat systemic inefficiencies, but it must be heavily heavily scrutinized, ethically bounded, and firmly under human supervision.

As the judiciary moves deeper into 2026, the focus will undoubtedly shift from theoretical debates about AI to practical, regulated implementations. By embracing technology cautiously, the Indian judiciary aims to foster a system that is faster, more transparent, and infinitely more accessible, all while preserving the irreplaceable human element of justice. The coming months are likely to witness expanded training programs for judicial officers and the phased rollout of newer, localized AI tools across the country’s district courts, fulfilling the promise of a modernized, equitable judicial framework.