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India's Supreme Court has threatened legal consequences after a judge was found to have adjudicated on a property dispute using fake judgments generated by artificial intelligence.
The top court, which was responding to an appeal by the defendants, will now examine the ruling given by the lower court in the southern state of Andhra Pradesh.
The Supreme Court called the case a matter of "institutional concern" and said fake AI-generated judgments had "a direct bearing on the integrity of the adjudicatory process"
The incident has made headlines, becoming the latest in a series of instances where AI has disrupted court proceedings in India and elsewhere in the world
The problems in the case in Andhra Pradesh arose in August last year when a junior civil judge in the trial court in Vijaywada city passed an order in a case about a disputed property.
The court had previously assigned an official to survey the property and file a report, which the defendants objected to. The judge dismissed their objection, citing four past legal judgements - all of which were later found to be AI-generated.
AI programmes have vastly simplified tasks in the workplace but generative AI systems are known for their ability to "hallucinate" and assert falsehoods as fact, even sometimes inventing sources for the inaccurate information.
The defendants challenged the order in the state's high court, arguing that the cited orders were fraudulent. The high court acknowledged this, but accepted that the junior civil judge had made the error in "good faith" and went on to agree with the trial court's decision anyway.
In its order, the high court said that "the citations may be non-existent, but if the learned trial court has considered the correct principles of law and its application to the facts of the case is also correct, mere mentioning of incorrect or non-existent rulings/citations in the order cannot be a ground to set aside the order".
The high court had also sought a report from the junior judge who had used the AI-generated rulings. She told the court that this was her first time using an AI tool and she had believed the citations to be "genuine". She had no intention to misquote or misrepresent the rulings and that "the mistake occurred solely due to the reliance on an automatic source", the high court wrote.
The high court also advocated for the "exercise of actual intelligence over artificial intelligence".
Following this, the defendants appealed again, taking the matter to the Supreme Court, which was less forgiving about the impact of AI.
Coming down sternly against the fake judgements, the top court last Friday stayed the lower court's order on the property dispute. It said the use of AI while making judgements was not simply "an error in decision making" but an act of "misconduct".
"This case assumes considerable institutional concern, not because of the decision that was taken on the merits of the case, but about the process of adjudication and determination," the top court said.
The court said it would examine the case in more detail and issued notices to the country's Attorney and Solicitor General, as well as the Bar Council of India.
In another case last month, the Supreme Court raised concerns over the trend of lawyers using AI tools to draft petitions. "It is absolutely uncalled for," legal news website LiveLaw quoted the court as saying.
India is not alone in reckoning with the effects of AI in courts.
In October, two federal judges in the US were called out for the use of AI tools, which led to errors in their rulings. In June 2025, the High Court of England and Wales warned lawyers not to use AI-generated case material after a series of cases cited fictitious or partially made-up rulings.
India's legal institutions, alongside others around the world, are grappling with how to regulate and monitor the use of AI in the courtroom.
Last year, the Supreme Court published a white paper on AI in India's judiciary, which listed best practices and guidelines for the use of AI by judicial institutions, lawyers, and clerks.
The court stressed the need for human oversight and the importance of keeping institutional safeguards "firmly in place".
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