The Supreme Court of India is deploying Artificial Intelligence (AI) and Machine Learning (ML) based tools to enhance judicial efficiency, according to a written statement by Union Minister Arjun Ram Meghwal in the Rajya Sabha on Thursday, March 20.
Also Read: Relying on AI for Legal Research Risky, Says SC Justice: Report
AI in Court Operations
AI-assisted tools are being used to transcribe oral arguments in Constitution Bench hearings, with plans to extend this capability to regular hearing days (Thursdays). These transcriptions are available on the Supreme Court's website, the statement said.
Additionally, in collaboration with the National Informatics Centre (NIC), the Supreme Court is also using AI to translate judgments from the English language into 18 Indian languages: Assamese, Bengali, Garo, Gujarati, Hindi, Kannada, Kashmiri, Khasi, Konkani, Malayali, Marathi, Nepali, Odia, Punjabi, Santali, Tamil, Telugu and Urdu. These translations are accessible through the eSCR portal.
Also Read: OpenAI Launches Deep Research: AI Agent for In-Depth Web Analysis
AI in Case Filing and Defect Identification
In partnership with IIT Madras, the Supreme Court has developed AI and ML-based tools integrated with the electronic filing software of the Registry to detect defects. A prototype has been made available to 200 Advocates-on-Record for feedback. Ministry of Law and Justice shared that further testing is underway to integrate AI into electronic filing modules and the Integrated Case Management and Information System (ICMIS).
Also Read: Trilegal Partners with Lucio to Drive AI-Powered Transformation in Legal Services
AI in Judicial Decision-Making
It was also clarified that no AI and ML-based tools are being used by the Supreme Court of India in the decision-making process. However, the SUPACE (Supreme Court Portal Assistance in Court Efficiency) tool is being developed to assist judges in analysing case facts and finding precedents. Currently in the experimental stage, it will be deployed after necessary hardware upgrades like graphic processing units (GPUs) and Tensor Processing units (TPUs).
