Ex-CJI DY Chandrachud emphasized that AI has transformative potential, capable of revolutionizing India’s justice system by automating high-volume cheque dishonour cases. He believes AI-enabled adjudication can cut delays, reduce pendency, and enhance judicial efficiency without compromising fairness.
Today, On 13rd February, The Supreme Court denied bail to the accused in the 2020 Bengaluru riots case, emphasizing the seriousness of the charges under the Unlawful Activities (Prevention) Act (UAPA). The court directed the Karnataka government to establish additional special UAPA courts to expedite trials and reduce judicial backlog. This move aims to ensure swift justice and address delays in handling cases related to public safety and national security.
Madhya Pradesh Chief Minister Dr. Mohan Yadav reported 4,928 pending minor rape cases in the High Court, with 64 linked to murder. Despite the 2017 Bill allowing death penalties for rapists of minors, no executions have occurred. Approximately 50% of accused individuals are on bail, prompting concerns over delayed justice.
The Supreme Court on Wednesday (Dec 18) emphasized that establishing Gram Nyayalayas cannot follow a nationwide formula due to varying state needs. It directed states to submit affidavits on judicial infrastructure in response to a plea advocating for enhanced access to justice. The court highlighted successful implementations in some states and scheduled follow-ups.
Former Chief Justice DY Chandrachud called for urgent government action to fill 21% of vacant district court positions, emphasizing the need for increased judicial investment. He proposed an “All India Judicial Service Examination” to address staffing shortages and urged for better infrastructure to ensure timely justice and effective governance, particularly for the underprivileged.