NATURAL LANGUAGE PROCESSING IN LEGAL TECH: AUTOMATING DOCUMENT ANALYSIS IN JUDICIAL SYSTEMS

Authors

  • Dr. Ahsan Qureshi Department of Computer Science, University of the Punjab, Lahore, Pakistan. Author

Keywords:

Legal Technology, Natural Language Processing, Judicial Automation, Document Analysis

Abstract

The integration of Natural Language Processing (NLP) in legal technology has the potential to transform judicial systems by automating the analysis of voluminous legal documents. This study explores the application of NLP techniques—such as information extraction, named entity recognition, and text summarization—for improving the efficiency of legal workflows. Focusing on Pakistan’s legal system, the article analyzes how NLP can help reduce case backlogs, accelerate judgment drafting, and support legal research. Several use cases, frameworks, and challenges are discussed with respect to the accuracy, bias, and interpretability of NLP models. Results from implementation studies and pilot projects demonstrate the growing impact of NLP in enhancing legal decision-making and judicial transparency

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Published

2023-07-03

Issue

Vol. 3 No. 3 (2023): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.