Justice KV Viswanathan Warns AI Cannot Replace Judicial Reasoning as 'Leave Granted' Becomes 'Chutti Swikriti'

In a stirring address that has captured the attention of the legal fraternity, Supreme Court Justice KV Viswanathan issued a stark reminder about the limitations of artificial intelligence in the judicial process. Speaking at a recent event, he recounted a telling incident where the innocuous legal phrase “Leave granted” was translated by an AI tool into the Hindi equivalent “Chutti swikriti” — a rendering that, while linguistically accurate, stripped the phrase of its precise legal connotation. This anecdote served as the centrepiece of his broader warning: while AI can assist judges, arbitrators, and lawyers, the core functions of reasoning, judgment, and award cannot be delegated to machines.

The remarks come at a time when courts worldwide are grappling with the rapid integration of generative AI into legal workflows. From automated document review to predictive analytics, AI tools promise efficiency and cost savings. Yet, as Justice Viswanathan highlighted, the technology remains fundamentally incapable of replicating the nuanced, context-sensitive reasoning that underpins judicial decision-making. The “Chutti swikriti” incident — likely the result of a machine translation tool misinterpreting a legal term — underscores the risk of relying on algorithms for tasks that demand human judgment.

A Cautionary Tale from the Bench

Justice Viswanathan’s address was not a blanket rejection of AI but a call for calibrated adoption. He acknowledged the transformative potential of AI in easing the burden on overworked courts and legal professionals. For instance, AI can rapidly sort through case law, flag relevant precedents, and even draft routine orders. Yet, he cautioned that these tools are only as reliable as their training data and design. The translation error — turning a standard procedural grant of leave into a phrase that could be read as “holiday approval” — illustrates how even simple linguistic tasks can go awry when context is lost.

The incident resonated deeply with the audience, many of whom have encountered similar pitfalls in their own practice. Legal language is precise; a single misplaced term can alter the meaning of an order. In the hands of an AI, such errors may propagate at scale, leading to misinterpretations in multiple cases. Justice Viswanathan’s point was clear: technology must serve the law, not the other way around.

The Promise of AI in Law

Despite the caution, the judge was optimistic about AI’s potential to enhance legal services. He noted that AI can assist in managing case loads, performing preliminary research, and even identifying patterns in judgments that might escape human notice. For arbitrators, AI tools can streamline the analysis of large volumes of evidence. For lawyers, they can accelerate contract review and due diligence. These applications, he argued, can free up legal professionals to focus on higher-order tasks — advocacy, negotiation, and strategic counselling.

However, he drew a bright line: AI must never be the final arbiter of legal reasoning. “Reasoning, judgment and awards cannot be delegated to machines,” he stated. This echoes the views of many jurists who argue that the act of judging is inherently human — involving empathy, moral reasoning, and an understanding of social context that no algorithm can replicate.

The Risks of Delegating Reasoning

Justice Viswanathan’s warning touches on a deeper ethical dilemma. As AI systems become more sophisticated, there is a temptation to offload decision-making to machines, especially in high-volume or low-stakes cases. But the risk of error, bias, or lack of transparency is significant. AI models trained on historical data may perpetuate existing biases in the legal system. They may also struggle with novel situations that require analogical reasoning — a staple of common law.

The “Chutti swikriti” incident is a microcosm of these risks. A translation error, while relatively harmless in this context, could have serious consequences if replicated in a bail order, a contractual clause, or a statutory interpretation. Justice Viswanathan urged the legal community to remain vigilant and to subject AI outputs to rigorous human oversight.

Implications for Legal Professionals

For practising lawyers and judges, the message is twofold. First, they must become literate in AI to effectively evaluate its outputs and limitations. Second, they must resist the urge to treat AI as a substitute for legal reasoning. The judge’s remarks serve as a reminder that the profession’s core competencies — analysis, persuasion, and judgment — are more valuable than ever.

Law schools and continuing legal education programmes may need to incorporate AI ethics and digital literacy into their curricula. Bar councils and courts may need to issue guidelines on the permissible use of AI in litigation. Already, several high courts have issued practice directions on the use of generative AI, requiring disclosure of AI-assisted content.

Conclusion

Justice KV Viswanathan’s address has sparked an important conversation in the Indian legal community about the role of AI. His vivid illustration — a simple translation error that turned a legal term into a colloquialism — drives home the point that technology is a tool, not a replacement for human judgment. As AI continues to evolve, the legal profession must embrace its benefits while safeguarding the integrity of the judicial process. The balance between innovation and tradition, efficiency and justice, will define the future of law in an age of intelligent machines.