More Judges, Not AI Alone, Needed to Tackle Case Burden: Justice Dipankar Datta
By Senior Reporter
Supreme Court judge Justice Dipankar Datta has said that while artificial intelligence (AI) can support the justice system, it cannot address the growing burden of cases without a corresponding increase in the number of judges. He cautioned against over-reliance on technology to solve what is essentially a structural problem.
The remarks come at a time when the Supreme Court is witnessing a sharp rise in filings, putting sustained pressure on judges and institutional capacity. Justice Datta’s comments add to the ongoing debate on the role of technology in judicial administration.
Background and Timeline
Justice Datta made the observations during a panel discussion titled “Law, Lawyers and AI: The Next Frontier,” organised by the Supreme Court Advocates-on-Record Association. He referred to official filing data to underline the scale of the problem.
According to figures cited by him, around 40,000 cases were filed in the Supreme Court in 2018 when the sanctioned strength of judges was 31. Although the strength later increased to 34, it has remained unchanged even as annual filings rose to about 75,000.
Justice Datta’s Key Observations
Justice Datta said AI should remain “at our feet and not sit on our heads,” stressing that technology must serve judges rather than dominate judicial reasoning. He described the Supreme Court as facing an unprecedented “explosion of cases.”
He emphasised that the problem lies not with litigants approaching courts, but with systemic limitations in meeting growing demand. According to him, no amount of technological intervention can compensate for a shortage of judges.
Expert Legal Clarification
Legal experts explain that AI tools can streamline legal research, case management, and drafting assistance. However, core judicial functions such as assessing intent, credibility, and human behaviour remain inherently human.
Justice Datta echoed this view, noting that judges must evaluate complex human motivations such as greed, anger, or fear—elements that algorithms are not equipped to fully comprehend.
Why the Issue Matters
Case pendency directly affects access to justice, often leading to prolonged litigation and delayed relief for citizens. While AI may improve efficiency, Justice Datta’s remarks highlight the need for policy decisions on judicial appointments.
He also cautioned lawyers about ethical responsibilities, warning that misuse of AI-generated content could undermine trust between the bar and the bench.
What Is Officially Confirmed vs What Is Under Verification
Officially confirmed: Justice Dipankar Datta publicly stated that AI cannot substitute the need for more judges and cited filing statistics during a formal panel discussion.
Under verification: Long-term policy changes regarding judicial strength and formal integration of AI tools depend on future administrative and legislative decisions.
Disclosure
This article is based on remarks made by Justice Dipankar Datta at a public legal discussion. Interpretations are limited to statements on record, and policy outcomes may evolve.
FAQs
Can AI reduce case pendency in courts?
AI can assist in research and administration but cannot replace judges or resolve structural shortages.
What concern did Justice Datta raise about AI use?
He warned against allowing AI to dominate judicial reasoning or compromise confidentiality.
Did he oppose AI entirely?
No. He supported limited, responsible use of AI as a supporting tool.
Why are more judges needed?
Because the number of cases has risen sharply while judicial strength has remained almost static.
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