According to the Supreme Court of India, Artificial Intelligence (AI) and Machine Learning (ML) tools are increasingly being integrated into judicial processes to enhance efficiency and accessibility. These technologies are currently being used in case management and the transcription of oral arguments in Constitutional Bench hearings. The AI-assisted transcriptions are available on the official website of the Supreme Court.
The information provided by Arjun Ram Meghwal, Minister of State (Independent Charge) for the Ministry of Law and Justice and Ministry of Parliamentary Affairs states that- in collaboration with the National Informatics Centre (NIC), the Supreme Court is also utilizing AI and ML tools to translate judgments from English into 18 Indian languages—Assamese, Bengali, Garo, Gujarati, Hindi, Kannada, Kashmiri, Khasi, Konkani, Malayalam, Marathi, Nepali, Odia, Punjabi, Santali, Tamil, Telugu, and Urdu. These translated judgments can be accessed through the e-SCR portal.
Further, in partnership with IIT Madras, the Court has developed and deployed AI and ML-based tools integrated with the electronic filing system to identify defects in filings. A prototype of this system has been shared with 200 Advocates-on-Record for initial use and feedback.
The Supreme Court, again in collaboration with IIT Madras, is also testing AI/ML prototypes for tasks such as defect rectification, data and metadata extraction. These tools will be integrated into the electronic filing module and the Integrated Case Management & Information System (ICMIS).
Importantly, while AI and ML tools are being used to assist with various administrative and procedural tasks, they are not currently used in the judicial decision-making process.
One of the key AI initiatives under development is the Supreme Court Portal for Assistance in Court Efficiency (SUPACE). This tool is designed to aid in understanding case facts, intelligently search legal precedents, and streamline case identification. SUPACE remains in the experimental phase and will be deployed once advanced hardware components—such as Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs)—are procured and installed.
