NLP-Driven Extraction of Key Features from Legal Texts: Court Opinions, Briefs, Statutes, and Case Law
This paper outlines a unique method of legal text processing using Natural Language Processing (NLP) technology to extract the information from the legal texts meaningfully and naturally. The proposed system is designed in a data pipeline architecture by integrating the NLP functionalities such as tokenization, part-of...