Technology-Based Law Enforcement Transformation: An Analysis of Artificial Intelligence Integration in the Justice System

  • Anis Noviya
    Universitas Jambi
Issue Vol. 3 No. 6 (2026): JHK - October
Release 2026-10-29
Section Articles
Pages 41-49
Abstract

rapid development of artificial intelligence (AI) technology presents both challenges and opportunities for the law enforcement and judicial system in Indonesia. This article comprehensively analyzes the integration of AI in the Indonesian judicial system, encompassing technical, legal, ethical, and institutional dimensions. Using normative, conceptual, and comparative legal research approaches, the study examines how AI can revolutionize the judicial process—from legal document analysis and verdict prediction to case management and fraud detection—while identifying the accompanying obstacles and risks. The research findings indicate that the implementation of AI in the judiciary in Indonesia is still in its infancy, hampered by regulatory fragmentation, digital infrastructure gaps, human resource capacity deficits, and the lack of a standard AI ethics framework. Comparatively, the experiences of the European Union through its AI Act and several Asia-Pacific countries provide important lessons on responsible AI governance. This article recommends the establishment of a comprehensive national legal framework, the development of an integrated judicial data infrastructure, the strengthening of the digital competence of judicial officials, and the adoption of Explainable AI principles to ensure that technological transformation does not compromise the values ​​of justice, accountability, and legal certainty.

Keywords
Artificial Intelligence Judicial System Law Enforcement Legal Technology Digital Transformation
How to Cite (APA)
Noviya, A. (2026). Technology-Based Law Enforcement Transformation: An Analysis of Artificial Intelligence Integration in the Justice System. Jurnal Hukum Dan Keadilan, 3(6), 41–49. https://doi.org/10.61942/jhk.v3i6.591
Licensing & Copyright
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