Natural Language Processing for Legal Document Classification

Abstract

The legal domain generates an immense volume of textual data daily, ranging from court opinions and statutes to contracts and legal briefs. As this volume grows, so does the need for effective methods to organize, categorize, and extract insights from these documents. Natural language processing (NLP) has emerged as a powerful tool to address these challenges by automating the analysis of legal texts. This chapter aims to explore the application of NLP techniques in legal document classification, delving into its methods, challenges, and real-world applications.