After Reading This Article You Can Solve This UPSC Mains Model Question:
Artificial Intelligence can improve judicial efficiency, but its unregulated use poses serious risks to the administration of justice. Examine the challenges associated with the use of AI in the Indian judiciary and suggest measures to ensure responsible AI-assisted justice delivery. (GS-2, Polity)
Why in News?
The Supreme Court of India set aside orders of the National Company Law Tribunal (NCLT) and the National Company Law Appellate Tribunal (NCLAT) after finding that the tribunal relied upon AI-generated fictitious judicial precedents (hallucinations) while deciding an insolvency case.
The Court described AI hallucinations as being like the methyl isocyanate gas of the Bhopal tragedy—”invisible, insidious and catastrophic by the time anyone notices.”
What are AI Hallucinations?
AI hallucinations refer to false, fabricated or misleading outputs generated by Artificial Intelligence systems that appear authentic but have no factual or legal basis.
In judicial context: They may include:
- Fabricated Supreme Court judgments
- Non-existent constitutional provisions
- False legal citations
- Imaginary precedents
- Incorrect interpretation of statutes
Thus, AI may generate convincing but legally false information, making verification indispensable.
Constitutional Principles Involved
1. Rule of Law: Judicial decisions must be based on verified facts, authentic legal precedents, and established law, not on fabricated or hallucinated AI-generated content.
2. Principles of Natural Justice: Every litigant is entitled to a fair hearing, unbiased consideration, and a reasoned judgment, which requires meaningful human application of mind rather than automated decision-making.
3. Judicial Independence: The constitutional responsibility of adjudication must remain exclusively with independent judges, ensuring that AI serves only as an assistive tool and not as a substitute for judicial discretion.
4. Due Process of Law (Article 21): The right to life and personal liberty includes fair, transparent, and reasoned legal procedures, making human oversight essential in every stage of judicial decision-making.
5. Equality Before Law (Article 14): AI systems must not perpetuate algorithmic bias or discrimination, as every individual is entitled to equal protection of the laws and impartial administration of justice.
Supreme Court’s Stand on AI in Judiciary
1. AI is an Assistive Tool, Not a Decision-Maker
AI may enhance efficiency in legal research and court administration, but it cannot replace judicial discretion, human reasoning, constitutional interpretation, or moral judgment in adjudication.
2. AI-Generated Fake Precedents Constitute Misconduct
The Court held that citing fabricated AI-generated case laws amounts to professional misconduct for advocates and judicial misconduct for judges, as it undermines the integrity of the justice system.
3. Human Verification is Mandatory
Every AI-generated output must be independently verified by judges and lawyers, as ultimate legal responsibility and accountability cannot be delegated to algorithms.
4. Judgments Based on AI Hallucinations Have No Legal Sanctity
The Supreme Court ruled that any judicial decision influenced even by an “iota” of AI-generated fictitious material is legally unsustainable and is “no decision in the eyes of law.”
Why is AI Being Used in the Judiciary?
1. Efficient Case Management: AI streamlines administrative functions by automating file classification, case listing, scheduling of hearings, and workflow management, thereby reducing delays in court processes.
2. Faster and Accurate Legal Research: AI enables judges and lawyers to quickly search through judgments, statutes, case laws, and international precedents, saving time and improving the quality of legal research.
3. Multilingual Translation and Accessibility: AI facilitates the translation of court records, judgments, and legal documents into regional languages, making the justice system more accessible and inclusive.
4. Document Summarization: AI can summarize lengthy pleadings, affidavits, and evidence, allowing judges and legal professionals to identify key issues more efficiently without replacing detailed judicial examinations.
5. Enhancing Judicial Efficiency: By automating routine administrative tasks and supporting faster research, AI helps reduce case pendency, optimizes court resources, and improves the overall efficiency of the justice delivery system.
Challenges of Using AI in the Judiciary
1. AI Hallucinations and Fabricated Legal Content: AI may generate fake judgments, imaginary precedents, and incorrect legal reasoning, which can mislead courts and result in serious miscarriages of justice.
2. Threat to the Rule of Law: Judicial decisions must be based on verified evidence, authentic precedents, and established legal principles; reliance on AI-generated fictitious citations undermines legal certainty and public confidence.
3. Erosion of Judicial Accountability: Since AI cannot be held legally or constitutionally accountable, judges must retain full responsibility for every decision, making human oversight indispensable.
4. Algorithmic Bias and Discrimination: AI systems trained on historical data may reproduce societal biases based on gender, caste, religion, or socio-economic status, thereby affecting fairness and equality before law.
5. Privacy and Data Security Risks: The use of AI in processing sensitive court records raises concerns about data protection, confidentiality, cybersecurity, and the potential misuse of personal information.
6. Constitutional and Legal Concerns: Unchecked reliance on AI may violate constitutional guarantees such as Article 14 (Equality before Law), Article 21 (Right to Fair Procedure), and the principles of natural justice.
7. Ethical Limitations of AI: Justice requires empathy, contextual understanding, and moral judgment—qualities that AI lacks—making it unsuitable for core judicial decision-making.
8. Decline in Professional Standards: Excessive dependence on AI may discourage independent legal research, critical thinking, and professional diligence among judges and advocates, weakening the quality of justice delivery.
Draft Regulations for Use of AI in Courts, 2026
The Draft Regulations establish a responsible and human-centric framework for AI in the judiciary, ensuring AI assists but does not replace judicial decision-making.
1. Ban on Core Judicial Functions: AI is prohibited from adjudication, sentencing, bail decisions, and assessing witness or party credibility, as these require human judgment and constitutional accountability.
2. AI for Assistive Functions: AI may be used for legal research, translation, document summarization, administrative support, and workflow management to improve court efficiency.
3. Human Oversight: Judges remain solely responsible for evaluating evidence, interpreting the law, and delivering reasoned judgments, with AI serving only as a support tool.
4. Protecting Judicial Integrity: The framework safeguards judicial independence, due process, and public trust by limiting AI to non-adjudicatory functions.
Directions to the Bar Council of India (BCI)
The Supreme Court directed the Bar Council of India (BCI) to strengthen professional accountability in the use of AI by legal practitioners.
1. Frame Ethical Guidelines: Develop comprehensive ethical standards governing the responsible use of AI by advocates in legal research and court proceedings.
2. Establish Disciplinary Framework: Prescribe clear disciplinary norms and penalties for lawyers who rely on or submit unverified AI-generated legal material before courts.
3. Prevent AI-Generated Misconduct: Ensure that fabricated AI-generated judgments or citations are treated as professional misconduct, thereby protecting the integrity of judicial proceedings.
4. Promote Responsible AI Adoption: Encourage AI literacy, verification practices, and responsible use of AI tools among legal professionals while preserving professional diligence and accountability.
Way Forward
1. Adopt a Human-in-the-Loop Approach: Mandate human verification of all AI-generated outputs to ensure that judges retain ultimate responsibility for judicial decisions.
2. Develop AI-Specific Judicial Protocols: Frame standard operating procedures (SOPs) for verifying AI-generated citations, authenticating legal sources, and regulating AI-assisted legal research.
3. Build AI Capacity in the Judiciary: Conduct regular AI literacy and digital training programmes for judges, lawyers, and court staff to promote responsible and informed use of AI.
4. Promote Explainable AI: Adopt transparent and auditable AI systems whose reasoning and outputs can be independently examined and verified.
5. Establish an Ethical AI Governance Framework: Develop AI regulations based on the principles of fairness, transparency, accountability, privacy, and constitutional morality.
6. Strengthen Professional Accountability: Introduce strict disciplinary mechanisms against fabricated AI citations, professional negligence, and misuse of AI by legal professionals.
7. Ensure Secure AI Infrastructure: Strengthen data protection through robust cybersecurity measures, encryption, privacy safeguards, and compliance with data protection laws.
8. Enact a Comprehensive Legal Framework: Formulate clear legal and regulatory standards governing the use of AI in the judiciary, with periodic audits and independent oversight to ensure responsible adoption.
Conclusion
Artificial Intelligence should remain an aid to justice, not its arbiter. While AI can improve judicial efficiency, the constitutional responsibility for delivering fair and reasoned justice must always rest with human judges. India must adopt a Human-Centred AI approach that upholds the Rule of Law, Natural Justice, and Judicial Independence, ensuring that justice is guided by human wisdom—not AI hallucinations.