ASSISTIVE TECHNOLOGY TO EXPEDITE JUDICIAL PROCEDURE USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING TECHNIQUES

The Indian Judiciary stacks a pile-up of more than 30 million cases, some in backlog for more than 10 years. Renowned cases such as the 1984 Sikh riots still await a final judgement with many of the accused and those seeking justice having died in the extensive 32-year lengthy wait. This paper aims to present an application that would assist the jury and expedite the process of delivering a judgement. Given required documents at hand, judges take a minimum of one month to an infinite number of years to deliver the judgement. This paper proposes a system performing the same task in less than a minute. The application aims to summarize judicial support documents constructing an overview of them using NLP methods and categorize documents into categories as identified by experts with machine learning techniques.