Too Legal; Didn't Read (TLDR): Summarization of Court Opinions

Access to justice remains one of the fundamental principles of the rule of law. The original US constitution was four pages and a few thousand words long [1]. But with new additions to laws and bills every year, understanding legal texts or navigating through them in itself requires specialized training and skills. Most of the legal processes and arguments rely on precedents from the past and the previous interpretation of laws. Thus, having access to the last case documents is really important and convenient. Unfortunately, these case documents are often very long, and parsing through them is time-consuming. Case summaries are meant to be of help but are written by experienced professionals and are expensive and labor-intensive. In this article we propose (Natural Language Processing) NLP based legal text summarization approach that can help professionals in writing summaries quickly with a minimum effort or create summaries automatically