AI in Judiciary?

~Preet


The use of AI in the judicial system | Al Bawaba

Recently, the Law Minister stated that in order to accomplish phase two of the eCourts project, new, cutting-edge technologies like as Machine Learning (ML) and Artificial Intelligence (AI) must be used to boost the efficiency of the justice delivery system. In addition, the Supreme Court of India has formed an Artificial Intelligence Committee to investigate the application of AI in the judicial arena.  The group has found applications for AI technology in judicial document translation, legal research help, and process automation.

E-Courts was conceived with the goal of transforming the Indian judiciary via the use of ICT (Information and Communication Technology) in the courts.  It is a pan-India project for District Courts across the country, overseen and sponsored by the Department of Justice, Ministry of Law and Justice. To offer citizen-centric services in an effective and timely manner. Creating, installing, and implementing decision support systems in courts. To automate procedures in order to give transparency and information accessibility to its stakeholders. Improving judicial productivity, both qualitatively and statistically, in order to make the justice delivery system more inexpensive, accessible, cost-effective, predictable, dependable, and transparent.

Cases Pending: According to the most current National Judicial Data Grid (NJDG), 3,89,41,148 cases are pending at the District and Taluka levels, while 58,43,113 remain unresolved in the high courts. Such pendingness has a knock-on effect that diminishes the efficiency of the judiciary and, as a result, people's access to justice. During the Covid-19 epidemic, there has been a tremendous increase in the usage of technology for e-filing and virtual hearings. It is an artificial intelligence system that can aid in the translation of court decisions into regional languages. This is yet another historic endeavour to improve access to justice.

The Supreme Court of India just announced SUPACE. It is intended to first identify judicial procedures that require automation before assisting the Court in enhancing efficiency and lowering pendency by encapsulating judicial operations that can be automated by AI. 

Some global Initiatives that were similar are:-
  • COMPAS IN THE U.S. (Correctional Offender Management Profiling for Alternative Sanctions). 
  • HART (United Kingdom) (Harm Assessment Risk Tool). 
  • Giving legal advice and authorising pensions in China, Mexico, and Russia. 
  • Estonia has created a robot judge to hear minor disputes. 
  • Malaysia: Assisting with sentence judgments. 
  • Austria: Advanced document management. 
  • Prometea, Argentina/Colombia (Identifying urgent cases within minutes). 
  • Singapore: Real-time transcription of court hearings
AI and machine learning have the potential to assist judges in conducting trials more quickly and effectively, hence lowering case backlogs. It will enable legal practitioners to devote more time to creating better legal thinking, legal debate, and legal interpretation. Following "training" on a massive historical set of precedents, the programme is capable of highlighting crucial elements that are relevant in unique contracts. This will aid in the analysis of thousands of past instances and the development of 'judge analytics.' Concerns concerning data protection, privacy, human rights, and ethics may offer new issues as AI technology advances, necessitating extensive self-regulation by creators of these systems. It will also necessitate external regulation by the legislature via statute, rules, and regulation, as well as by the judiciary via judicial review and constitutional principles.

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