Artificial Intelligence Can Help Reduce Backlog of Pending Cases: Law Minister Kiren Rijiju

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Law Minister Kiren Rijiju on Saturday said artificial intelligence could help in “surprising ways” to ensure sustainable justice delivery and reduce backlog of pending cases.

Addressing the concluding session of a Supreme Court-organised two-day Constitution Day event, he said artificial intelligence (AI) can help in implementing court management tools like case flow management, case management clearance rates, online information of case laws, and automated algorithm-based support system, which can all add to the efficiency of judicial functioning.

Since courts in India are already undergoing a transformational change by going digital, the emerging domain of AI could help in surprising ways to ensure sustainable justice delivery and reduce backlog of pending cases, the minister said.

He said machines, of course, cannot replace human judges, but they could assist judges in the decision-making process by giving calculated and unbiased opinions.

Synchronisation of AI with human wisdom can help bring speed to delivery of justice, Rijiju said.

President Ram Nath Kovind, Chief Justice of India N V Ramana, judges of the Supreme Court and high courts, among others, were present at the event.

Referring to concerns over pending cases in different courts, the minister said adequacy of judicial infrastructure is critical for reduction of pendency and backlog of cases in courts.

The present government, Rijiju said, is sensitive to the needs of providing well equipped judicial infrastructure to the subordinate judiciary to facilitate administration of justice in a manner that allows easy and timely delivery of justice to all.

The government is committed to investing maximum possible resources for building the next generation quality infrastructure so that they develop into engines of economic growth, he noted.The role of the judiciary in the adjudication of infrastructure disputes and keeping the larger national interests in mind is crucial for the flow of the developmental trajectory and overall project costs, he said.

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