Artificial Intelligence is no longer confined to technology companies or laboratories. It has entered law offices, courtrooms and judicial systems, assisting lawyers and judges with research, transcription, document analysis and other routine tasks. As courts increasingly adopt digital technologies, an important question arises: Can AI eventually replace human legal judgment?
The answer depends on what we understand by “legal judgment.” Law is not merely about finding a rule and applying it to facts. Judicial decision-making involves interpreting legislation, evaluating evidence, understanding competing rights, appreciating human circumstances and giving reasons for a decision. These functions require more than computational efficiency.
AI as an Assistant, Not a Judge
AI can significantly improve the functioning of courts. It can search large volumes of case law, identify relevant authorities, summarise lengthy documents, assist with transcription and organise information. The Supreme Court of India itself has been exploring AI and other digital tools as part of judicial modernisation. Its 2025 White Paper on Artificial Intelligence and Judiciary reflects the growing institutional focus on the subject.
The potential benefits are considerable. A judge dealing with thousands of pages of records may use AI to locate relevant passages quickly. Lawyers can use technological tools to conduct preliminary research and identify potentially applicable precedents. Such applications can save time and allow legal professionals to focus on more substantive questions.
However, efficiency cannot become a substitute for judicial responsibility.
The Problem of AI Hallucinations
One of the most serious concerns is that generative AI can produce information that appears convincing but is factually incorrect. In legal practice, this can have serious consequences because a fabricated case citation or incorrectly stated legal principle can influence the outcome of a proceeding.
This concern became particularly significant in the Supreme Court’s 2026 decision in Pooja Ramesh Singh v. Jammu & Kashmir Bank Ltd. The Court found that NCLT and NCLAT decisions had relied upon non-existent or incorrectly attributed judgments that appeared to have been generated by AI. The Supreme Court set aside those decisions and emphasised the need for strict verification of AI-generated legal material.
The case demonstrates an important principle: AI can assist legal reasoning, but responsibility for the accuracy of law cannot be delegated to a machine.
What AI Cannot Understand
A courtroom is not simply an information-processing environment. A judge may have to decide whether a witness is credible, whether conduct was reasonable in particular circumstances, how competing fundamental rights should be balanced, or how a legal principle should apply to an unusual factual situation.
These decisions involve context and interpretation.
For example, two cases may involve the same statutory provision but produce different outcomes because of differences in facts, evidence or constitutional considerations. An AI system may identify patterns from previous decisions, but a judicial decision must also explain why a particular outcome is legally justified in the case before the court.
The European Commission for the Efficiency of Justice has similarly emphasised that judicial authority must remain with judges and that AI should be used for auxiliary or preparatory purposes rather than replacing human decision-making.
The Risk of Bias
AI is often presented as objective because it operates through data and algorithms. But algorithms are created and trained using human-generated data. If historical legal or social data contains structural biases, an AI system may reproduce or amplify those patterns.
This becomes particularly concerning in areas such as criminal justice, bail, sentencing, discrimination and access to justice. A technological system may produce a statistically persuasive recommendation while still failing to account adequately for an individual’s circumstances.
Therefore, the question is not simply whether AI can produce an answer. It is whether the answer can be explained, challenged and legally justified.
Accountability Cannot Be Automated
One of the foundations of judicial legitimacy is accountability. When a judge delivers a judgment, the judge is responsible for the reasoning contained in it. The parties can challenge the decision through established appellate mechanisms.
An AI system, however, cannot bear judicial responsibility in the same sense. If an algorithm produces an erroneous recommendation, questions immediately arise: Who is responsible—the judge, the court, the developer or the institution that deployed the system?
This is why human oversight remains essential. The Supreme Court has also stressed in its recent discussions on judicial technology that technology should operate as an aid rather than a substitute for judicial reasoning.
The Future: Human Judgment + Artificial Intelligence
The future of AI in courts need not be a choice between technology and human judges. A more realistic model is one in which AI performs tasks at which machines are efficient while humans retain responsibility for decisions requiring legal reasoning and judgment.
AI can search.
AI can organise.
AI can compare.
AI can assist.
But the final judicial decision must remain subject to human reasoning, verification and accountability.
The courtroom of the future may therefore contain more technology than the courtroom of today. What should not disappear is the human judge who is capable of listening to the parties, understanding the consequences of a decision and explaining why justice requires a particular outcome.
AI may make the courtroom faster. But speed cannot become the definition of justice. The future of judicial technology should not be about replacing legal judgment—it should be about strengthening it.
