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Natural Language Processing for Legal Document Classification
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Author(s): Tomin Joseph (Christ University, India)and A. Vijayalakshmi (Christ University, India)
Copyright: 2025
Pages: 22
Source title:
Enhancing Communication and Decision-Making With AI
Source Author(s)/Editor(s): Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India)and Achyut Shankar (University of Warwick, UK)
DOI: 10.4018/979-8-3693-9246-1.ch012
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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.
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