AI Hallucinations: Navigating Professional Ethics in the Age of Generative AI
Author: Lawscape Team
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The Dawn of the “Prompt-Engineer” Lawyer
The Indian legal profession is standing at a digital crossroads. With the Supreme Court of India releasing its White Paper on AI and the Judiciary in late 2025, the integration of Large Language Models (LLMs) into legal research is no longer a futuristic concept—it is a daily reality. However, as practitioners increasingly lean on tools like ChatGPT for drafting and research, a new ethical ghost has entered the courtroom: AI Hallucinations.
Understanding the “Hallucination” Liability
In technical terms, a “hallucination” occurs when an AI model generates content that is factually incorrect but appears highly persuasive. For a lawyer, this often manifests as the citation of non-existent precedents or “fake” case laws.
Recent instances in early 2026 have seen trial courts and even High Courts grappling with “phantom citations” submitted by counsel who relied solely on unverified AI outputs. This brings us to a critical question: Who is responsible when a machine “lies” to the court?
The Mandate of Professional Diligence
Under the Advocates Act, 1961 and the Bar Council of India Rules, an advocate owes a paramount duty to the court and the client.
- Rule 11 (Duty to the Court): An advocate must maintain a respectful attitude and should not knowingly mislead the court.
- Professional Competence: Citing a non-existent judgment, even if unintentional, can be construed as a failure of professional diligence.
In the landmark observation during a PIL in December 2025, the Supreme Court noted that while AI is an “assistive” tool, it cannot replace the “judicial reasoning” of a human mind. The Court emphasized that it is the personal responsibility of the lawyer to verify every citation generated by an AI tool.
The Risk of Data Confidentiality
Beyond hallucinations, the use of public AI tools raises severe concerns under the Digital Personal Data Protection Act, 2023. Inputting sensitive client data into an AI model for “summarization” or “drafting” may constitute a breach of the Indian Evidence Act (and the new Bharatiya Sakshya Adhiniyam, 2023) regarding attorney-client privilege.
The India AI Governance Guidelines (2025) now explicitly tether AI usage to these privacy standards, requiring lawyers to maintain “human-in-the-loop” oversight.
Practical Safeguards for Modern Practice
To navigate this landscape without falling into ethical traps, practitioners should adopt a “Verification-First” workflow:
- Cross-Reference Always: Never submit a citation without verifying it against a primary source like SCC Online or the National Judicial Data Grid.
- Anonymize Inputs: When using AI for drafting, remove all personal identifiers related to the client to comply with the DPDP Act.
- Transparency with Clients: Disclosing the use of AI in legal research is increasingly becoming an ethical best practice to ensure “fair billing” and informed consent.
Conclusion: The Human-AI Partnership
AI is not here to replace the lawyer; it is here to replace the lawyer who doesn’t use AI. However, the machine’s efficiency must never override the advocate’s integrity. As we move further into 2026, the hallmark of a “learned friend” will not just be their knowledge of the law, but their ability to ethically bridge the gap between human judgment and artificial intelligence.
** Disclaimer: The views expressed in this article are those of the author and do not necessarily reflect the views of The Lawscape.
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