POOJA RAMESH SINGH V. JAMMU & KASHMIR BANK LTD.: JUDICIAL INTEGRITY, AI-GENERATED AUTHORITIES AND THE LIMITS OF TECHNOLOGY IN ADJUDICATION

Artificial intelligence in research is growing. Artificial intelligence brings chances to work faster but it also brings worries about whether legal sources are correct and trustworthy. These worries were highlighted in the case Pooja Ramesh Singh v. Jammu & Kashmir Bank Ltd. In that case the Supreme Court of India looked at how the National Company Law Tribunal trusted artificial intelligence–generated legal material. The main dispute was about enforcing a guarantee but the Supreme Court's decision asked a bigger question: can a judge rely on legal references that do not exist? This paper looks at the facts of the case the Supreme Court's reasoning and what it means for lawyers, judges and the entire legal field. It shows the difference between using intelligence as a helper for research and treating artificial intelligence's unverified output as an official law source. The paper also talks about lawyers' duty to check citations and the need for courts and tribunals to check whether the authorities they see are real. Even though artificial intelligence helps with research the paper says that technology cannot replace careful work or judicial responsibility. The Supreme Court decision reminds us that every legal decision must depend on proven legal sources. The decision also raises questions about punishments and the safety measures needed as artificial intelligence becomes more common in law practice. In the end the paper says that technology can help with thinking but human professionals must keep the responsibility, for accuracy and integrity of legal work.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23662655
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
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article

POOJA RAMESH SINGH V. JAMMU & KASHMIR BANK LTD.: JUDICIAL INTEGRITY, AI-GENERATED AUTHORITIES AND THE LIMITS OF TECHNOLOGY IN ADJUDICATION

Manvi
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Law
article

POOJA RAMESH SINGH V. JAMMU & KASHMIR BANK LTD.: JUDICIAL INTEGRITY, AI-GENERATED AUTHORITIES AND THE LIMITS OF TECHNOLOGY IN ADJUDICATION

Manvi
article en

Abstract

Artificial intelligence in research is growing. Artificial intelligence brings chances to work faster but it also brings worries about whether legal sources are correct and trustworthy. These worries were highlighted in the case Pooja Ramesh Singh v. Jammu & Kashmir Bank Ltd. In that case the Supreme Court of India looked at how the National Company Law Tribunal trusted artificial intelligence–generated legal material. The main dispute was about enforcing a guarantee but the Supreme Court's decision asked a bigger question: can a judge rely on legal references that do not exist? This paper looks at the facts of the case the Supreme Court's reasoning and what it means for lawyers, judges and the entire legal field. It shows the difference between using intelligence as a helper for research and treating artificial intelligence's unverified output as an official law source. The paper also talks about lawyers' duty to check citations and the need for courts and tribunals to check whether the authorities they see are real. Even though artificial intelligence helps with research the paper says that technology cannot replace careful work or judicial responsibility. The Supreme Court decision reminds us that every legal decision must depend on proven legal sources. The decision also raises questions about punishments and the safety measures needed as artificial intelligence becomes more common in law practice. In the end the paper says that technology can help with thinking but human professionals must keep the responsibility, for accuracy and integrity of legal work.

Zenodo (CERN European Organization for Nuclear Research)
University of Delhi (IN)
Openalex Percentile: Top 4%
Artificial Intelligence in Law
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