Indian courts of law can benefit immensely by adopting artificial intelligence methods in bail applications for speedy and accurate justice

A new thrust has emerged a few years ago under the leadership of Justice Dr. D. Y. Chandrachud of the Supreme Court of India (He is currently the Chief Justice of India) to digitize the work of courts (Government.com, 2023). Much progress has been made with consequent relief to plaintiffs and other participants. The possibility of using AI has also been mooted by (retired) Chief Justice of the Supreme Court Mr. Sharad Bobade (Mr. Sharad Bobade's statement, 2023). Fortunately, there is clarity that AI is to assist and not substitute judges. This aspect of technology does not seem to have made any serious inroads into the judicial system. Whatever the complexities involved in the courts of law, the judges needed to go through a set of rules and constitutional points before passing a judgment on a particular case. In the implementation of a set of rules through AI for passing a judgment for a specific case, there shouldn't be any scope for chance factors. Mathematical logical constructions are like having well-defined rules of law and no scope for subjectivity in implementing the law. Through this article, we provide a proof of concept of adapting deep learning techniques, especially exact deep learning techniques that can benefit Indian courts of law. Such techniques can be very much useful in relatively simple and routine but very numerous cases to expedite judgments. Even in complicated cases involving arguments and counterarguments, these approaches can play a constructive role. We recommend using such automation for producing draft judgments in a more expeditious and yet equally effective manner in various courts of law in India.