Integrating cognitive machines into judicial processes: A frontier in legal intelligence

Srinivas, M. K. (2025) Integrating cognitive machines into judicial processes: A frontier in legal intelligence. International Journal of Law Management & Humanities, 8 (5). pp. 620-633. ISSN 2581-5369

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Official URL: https://doij.org/10.10000/IJLMH.1110807

Abstract

The rapid evolution of artificial intelligence (AI) technologies presents a transformative opportunity for judicial systems worldwide. Integrating Cognitive Machines into Judicial Processes: A Frontier in Legal Intelligence explores the emerging interface between law and machine intelligence, examining how AI-powered tools—particularly cognitive machines—can augment legal decision-making, enhance administrative efficiency, and broaden access to justice. This paper provides an in-depth analysis of technologies such as data mining, natural language processing (NLP), machine learning, and big data analytics, emphasizing their roles in legal research, case prediction, and automated translation. It also investigates the ongoing digital transformation within the Indian judicial system, highlighting initiatives such as e-filing, the Inter-Operable Criminal Justice System (ICJS), NSTEP for process service, and the National Judicial Data Grid (NJDG). The study underscores how mobile legal applications and natural language-based advisory systems are enabling more inclusive and responsive legal services. Ultimately, the integration of cognitive technologies into judicial workflows signals a paradigm shift toward more intelligent, efficient, and citizen-centric legal systems.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence, Big Data, Cognitive Machines, Judicial Processes, and Natural Language Processing
Subjects: L LAW > LAW
Divisions: Department of > Law
Depositing User: Ms Varalakshmi
Date Deposited: 15 Oct 2025 06:18
Last Modified: 15 Oct 2025 10:28
URI: http://eprints.uni-mysore.ac.in/id/eprint/17848

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