Towards Reducing the Pendency of Cases at Court: Automated Case Analysis of Supreme Court Judgments in India

Abstract

The Indian court system generates huge amounts of data relating to administration, pleadings, litigant behaviour, and court decisions on a regular basis. But the existing Judiciary is incapable of managing these vast troves of data efficiently that causes delays and pendency of a large volume of cases in the courts. Some of these time-consuming tasks involve case briefing, examining the legal issues, facts, legal principles, observations, and other significant aspects submitted by the contending parties in the court. In other words, computational methods to understand the underlying structure of a case document will directly aid the lawyers to perform these tasks efficiently and improve the overall efficiency of the Justice delivery system. Application of Computational techniques (such as Natural Language Processing) can help to gather and sift through these vast troves of information, identify patterns, extract the document structure, draft documents and make the information available online. Traditionally lawyers are trained to examine cases using the Case Law Analysis approach for case briefing. In this article, the authors aim to establish the importance and relevance of the automated case analysis problem in the legal domain. They introduce a novel case analysis structure for the supreme court judgment documents and define twelve different case law labels that are used by legal professionals to identify the structure. Finally the authors propose a method for automated case analysis, which will directly aid the lawyers to prepare speedy and efficient case briefs and drastically reduce the time taken by them in litigation.