The Accelerating Justice: How AI is Redefining the Case Disposal Rate
The adage ‘Justice delayed is Justice denied’ has concerned the citizens and the judiciary over pendency of the cases. However, a silent revolution is underway. The Judiciary is witnessing a historic transformation driven by the Hon’ble Supreme Court of India's proactive embrace of AI and data analytics. From an era of mounting arrears, the Indian Judiciary is moving towards a future of ‘Smart Justice’ where technology ensures that the wheels of justice turn not just surely, but swiftly.
Introduction
In 2022, the Hon’ble Supreme Court of India (“SCI”) laid a roadmap to adopt AI into the E-Courts Phase-III. The SCI’s AI Committee within the eCommittee [1] functions as the Tech Think Tank of the Judiciary with a vision of developing seamless judicial and non-judicial technical infrastructure [2]. The AI Committee is responsible for developing various policies through AI integration. Some of the well-known policies are piloted and already in service such as:
(a) SUPACE (Supreme Court Portal for Assistance in Court Efficiency);
(b) SUVAS (Supreme Court Vidhik Anuvaad Software) (Translation software);
(c) LegRA (Legal Research Analysis Assistant);
(d) National Judicial Data Grid (NJDG); and
(e) Case Information System (CIS) etc.
These AI initiatives are curated to increase the disposal rate while balancing technology adaptation and the ethics of the court system. The HR of the eCommittee, Ms. R. Arulmozhiselvi emphasized that AI tools can be efficiently used to prioritise cases, defect findings and analyse pendency patterns. She further stated that AI is a force multiplier that may save Hon’ble Judges’ time and boost productivity, which is a potential source to bring data-driven judicial reforms [3].
The Current Landscape
The judicial data along with AI has rendered itself to be a catalyst for increasing disposal rates. For example, the Case Clearance Rate (“CCR”) (the ratio of cases disposed of to the cases filed) is a judicial eureka of data analytics. For years, the CCR hovered below 100%, leading to an accumulating backlog. However, recent data indicates a decisive shift where as of April 2025, the SCI achieved a CCR of 104.05% [4]. This means the Courts are disposing of more cases than are being filed, effectively clearing the backlog.
Reduction in Pendency
While the total pendency in the Supreme Court stands at approximately 81,413 cases (as of 18.04.2025) [5], this figure is actively being managed and reduced through targeted strategies. The resumption of regular hearings and the institution of special operational protocols have led to a measurable reduction in overall pendency in the first quarter of 2025. The data suggests that the median time to disposal is poised to decrease as ‘old’ and ‘infructuous’ cases are systematically weeded out.
The SCI’s Centre for Research and Planning spearheaded a project to identify ‘short, infructuous, and old’ cases with the help of AI tools. By analysing over 10,000 case files, the team identified 3,374 matters ripe for disposal. While human expertise guided this classification, the SCI is actively exploring and testing AI and Machine Learning (“ML”) tools to detect defects in filings and extract metadata, which accelerates this categorization process. This targeted approach resulted in the disposal of 1,525 cases within a few months [6], proving that intelligent categorization can significantly declog the docket.
The E-Courts Phase-III & Collaborations
Sustaining this momentum is the E-Courts Phase III, budgeted at INR 7,210 Crores. With an objective of adopting AI and its subsets like ML [7], this is the largest budget ever granted to the judiciary. The SCI and the Indian Institute of Technology, Madras have developed an Integrated Case Management and Information System which is an AI and ML platform in testing phases. The collaboration also manages SUPACE, which is a module to understand the factual matrix of cases while researching precedents.
Apart from indigenous reforms, Courts across India have been given liberty to try their own way of AI integration. Adalat.ai is one of the leading platforms curated at Massachusetts Institute of Technology and Oxford that significantly transforms courtrooms across India [8]. They are partnering with the judiciary and automizing translation, dictation and other procedures for speedy disposal. The Andhra Pradesh High Court has already partnered with Adalat.ai. Further, it is the first Court in India to have an AI chatbot called Lexika [9], which is under testing phases.
Conclusion
The AI integration in the Indian Judiciary marks a fundamental shift from traditional management to a data-driven court ecosystem. The success of the SCI’s recent initiatives and the milestone of CCR exceeding 100% demonstrate that technology, when applied to policy and administration, can effectively clear decades of pendency. While the E-Courts Phase-III provides the necessary fiscal and structural framework, collaboration with institutions and the liberty to test advanced innovations are navigating towards historical judicial reforms. Moving forward, while accelerating justice by the Hon’ble Courts, the challenge will lie in balancing AI and judicial ethics. However, the current trajectory indicates that AI will not replace the human element in rendering justice, but rather serve as a vital force multiplier, ensuring that the constitutional promise of timely justice becomes a fruitful reality.
References
[1] Ministry of Law and Justice, Use of AI Based Digital Content in Judiciary, pib.gov.in (Dec. 05, 2025), https://www.pib.gov.in/PressReleasePage.aspx?PRID=2199313®=3&lang=1.
[2] The Economic Times, CJI Surya Kant reconstitutes AI committee of SC, The Economic Times (Jan 31.2025, 06.15PM), https://economictimes.indiatimes.com/tech/artificial-intelligence/cji-surya-kant-reconstitutes-ai-committee-of-sc/articleshow/125896017.cms?from=mdr.
[3] Kriti Sharma, Padma Ladol, Shubham Kumar, Vrishti Shami Unclogging The Docket: Tackling Short, Infructuous and Old Cases, Centre for Research and Planning Initiative Supreme Court of India. 98 (2025), https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2025/05/2025051431.pdf
[4] Id. at 11.
[5] Id. at 03.
[6] Id. at 12.
[7] Department of Justice, https://doj.gov.in/phase-iii/ (Jan. 31, 2026).
[8] ADALAT.AI, https://www.adalat.ai/about-us (Jan. 31, 2026).
[9] High Court of Andhra Pradesh, https://aphc.gov.in/ (Jan. 31, 2026).