Justice P. S. Kailasam, who served on the Supreme Court in the 1970s, once observed that on Mondays and Fridays the Court heard roughly 280 Special Leave Petitions (SLPs), and nearly half of them were admitted. Today, the picture is dramatically different. More than 96,000 cases are pending before the Supreme Court of India, with some litigants waiting for justice for over three decades.
Incidentally, Justice
Kailasam was the father-in-law of senior Congress leader P. Chidambaram and the
father of designated senior advocate Nalini Chidambaram. P Chidambaram also
finds mention in K. K. Venugopal's recent memoir, An Accidental Lawyer: My
Adventures in Law and Life. Nonagenarian KK Venugopal is himself a
legendary lawyer.
In a written reply to
the Rajya Sabha, Union Law Minister Arjun Ram Meghwal stated the other day that
the Supreme Court has 96,024 pending cases, including 10,094 pending for more
than ten years, 558 pending for over twenty years, and 26 cases that have
remained unresolved for more than thirty years. Across the country, the total
pendency has crossed 5.64 crore cases, highlighting the staggering burden on
India's judicial system.
The Minister pointed
out that case disposal falls within the judiciary's domain and that delays
arise from several factors, including the complexity of cases, the availability
of evidence, and the cooperation of investigating agencies, witnesses, and litigants.
He also referred to measures such as the ₹7,210 crore e-Courts Phase III
project and the establishment of Fast Track Special Courts to improve access to
justice and reduce pendency.
While these
initiatives deserve appreciation, they do not address the fundamental problem.
Unless Artificial Intelligence is integrated extensively into the justice
delivery system, the backlog will continue to grow. Merely increasing the
sanctioned strength of judges—from the Supreme Court to the district
judiciary—will not produce the transformative results that the country urgently
needs.
Consider the thousands
of cheque dishonour cases under Section 138 of the Negotiable Instruments Act
that continue to clog district courts. Many of these cases involve repetitive
factual issues and standard legal questions, making them ideal candidates for
AI-assisted case management. Likewise, the cross-examination of multiple
witnesses, which can often be completed within a day through proper scheduling
and technological assistance, routinely stretches over several years because of
procedural delays and inefficient case management.
It is perplexing that
the Indian judiciary, from the Supreme Court to the district courts, remains
hesitant to embrace Artificial Intelligence on a meaningful scale. AI is not a
substitute for judges; it is a tool that can significantly enhance judicial efficiency
by assisting in research, document analysis, scheduling, transcription,
translation, precedent identification, drafting, and case management, thereby
allowing judges to devote more time to adjudication.
India is home to one
of the world's largest pools of scientific and technological talent. Yet even
comparatively modest reforms, such as the widespread live streaming of court
proceedings, have taken years to implement and are still absent in hundreds of
courts. This slow pace of technological adoption reflects an institutional
reluctance to embrace innovation.
Resistance to AI often
stems from concerns about reliability, accountability, judicial independence,
and the possibility of technological errors. While such concerns deserve
careful consideration, they cannot become an excuse for maintaining an outdated
system that is already overwhelmed by mounting arrears. Proper safeguards,
human oversight, and phased implementation can address these legitimate
apprehensions.
The judiciary exists
to deliver timely justice. When millions of citizens spend years—sometimes
decades—awaiting decisions, incremental reforms are no longer enough.
Technology, particularly Artificial Intelligence, is not a luxury but a
necessity. Nations that embrace technological innovation will strengthen their
justice systems; those that resist it risk falling further behind. If India is
serious about judicial reform, the large-scale adoption of Artificial
Intelligence is no longer a matter of choice—it is an imperative.

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