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A judgement in a long‑running partition suit (O.S. No.4956/2011, Gayathri vs Guru Reddy Raju S N) was uploaded to the public legal portal Indian Kanoon with embedded text that reads like a ChatGPT conversation. The document shows a user’s asking the AI to discuss the consequences of a will scenario, the AI’s multi‑paragraph response, a correction from the user, and a revised AI response. Both versions appear verbatim in the judgement, before the official “Reasons” section, which instead contains a placeholder. The AI‑generated text was not removed before the order was digitally signed and published.
The judgement, pronounced on January 27, 2026, was uploaded to Indian Kanoon, a public repository of Indian court decisions. Mid‑document, after the operative order and before the “Reasons” section, the text switches to a format that mirrors a chat interface, beginning with the phrase “Just say the word.”
The embedded asks the AI to discuss the consequences of a will involving a surviving second wife and unimplemented property purchasers. The AI responds with a legal discussion on “life interest,” followed by an offer to integrate the reasoning into the order. A subsequent correction changes the premise to an “absolute bequest,” prompting a new AI‑generated discussion.
Both AI‑generated blocks are repeated later in the document, and the official “Reasons” section contains only placeholder characters, suggesting the AI text was not intended for the final judgment. The document was digitally signed and made publicly available without the extraneous AI content being removed.
OfficeChai notes that this is not the first AI‑related incident in Indian courts. Earlier in 2024, the Supreme Court highlighted fabricated AI‑generated as a systemic issue, and a Punjab and Haryana High Court judge had openly consulted ChatGPT for bail jurisprudence in a 2023 murder case.
Kildedetaljer: officechai.com ↗
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The incident illustrates how AI‑generated content can inadvertently become part of official legal records, exposing procedural weaknesses and potential risks of undisclosed AI assistance in the judiciary. India’s Supreme Court has already flagged AI‑fabricated as a “menace,” and several high courts have issued policies limiting AI use to research and translation. This Bengaluru case shows that even without intentional reliance on AI for legal reasoning, the mere presence of AI‑drafted material in a signed order can undermine confidence in judicial documents, raise questions about accountability, and stricter oversight of AI tools in courts. It also signals to other jurisdictions that safeguards are needed to prevent accidental inclusion of AI output in official filings.
The presence of raw AI prompts in a signed judgement raises concerns about the integrity of legal documents and the potential for undisclosed AI influence on judicial outcomes.
It underscores the need for clear procedural guidelines and technical safeguards—such as AI‑output detection tools or mandatory disclosure statements—to ensure that AI assistance does not unintentionally become part of the official record.
The incident may Indian courts to tighten existing policies that currently allow AI for research and translation but prohibit its use for bail, sentencing, or final decisions, extending those restrictions to document preparation and drafting stages.
Internationally, the case adds to a growing body of evidence that AI integration in legal workflows can produce unintended artifacts, informing comparative regulatory discussions on in the judiciary.
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Future court filings in India for similar AI artifacts, any official response or policy clarification from the Bengaluru court or the Ministry of Law and Justice, and whether Indian judicial bodies will adopt technical controls (e.g., AI‑output detection, mandatory disclosure) to prevent such lapses. Internationally, watch for comparative studies on AI‑related judicial errors and potential regulatory frameworks.
Whether the Bengaluru court or higher judicial authorities issue a formal statement or corrective action regarding the accidental inclusion of AI text.
Potential adoption of AI‑output detection software by Indian courts to flag and remove AI‑generated content before finalization.
Legislative or policy proposals from the Ministry of Law and Justice aimed at standardising AI usage protocols across all levels of the judiciary.
Follow‑up reporting on any similar incidents in other Indian courts or in other jurisdictions, which could indicate a broader systemic issue.