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The Adaptability of the Indonesian Judiciary in the Era of Law and Technology Disruption

Lex Scientia Law Review · Vol. 9 No. 2 (2025) · pp. 1546–1586

DOI
10.15294/lslr.v9i2.28896
ISSN
2598-9685, 2598-9677
Published
2025-11-17
Publisher
Universitas Negeri Semarang
Language
eng
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

Legal disruption has been reported to significantly change judicial practice. Therefore, this study aims to explore 2 problem topics, namely 1) how the era of legal and technological disruption affects the profession of judges in carrying out their duties as case deciders, and 2) how is the adaptability of judges in Indonesia in facing the era of legal disruption to ensure their role and function remain relevant. The study procedures were carried out using the normative-empirical legal method, where secondary data were obtained using literature studies. Subsequently, data were enriched with empirical data obtained through field studies. The results showed Artificial Intelligence (AI) and Big Data could be integrated into the judicial system as a transformative solution due to the limited number of judges in Indonesia. The integration was expected to improve the efficiency, consistency, and unity of law enforcement. The profession of judges was required to carry out a transformation that was not only technical but also philosophical. In addition, the Supreme Court Technical Education and Training Center was expected to create an ecosystem where technology could be used as an instrument to improve the quality of Indonesian judges decisions. This could be achieved through hybrid curriculum strategies, inclusive infrastructure, and adaptive regulations.

Keywords

Collaboration network of the authors

40 authors · 129 co-authorship links

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  • Diponegoro University
  • Universitas Syiah Kuala
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Winda FitriAffiliation unknown6
David TanAffiliation unknown6
Abdurrakhman AlhakimAffiliation unknown5
Hari Sutra DisemadiDiponegoro University4
Hien TrinhAffiliation unknown4
Agustianto AgustiantoAffiliation unknown3
Muh. Endriyo SusilaAffiliation unknown2
Andi Agus SalimAffiliation unknown2
Mohammad Hazyar ArumbinangAffiliation unknown2
Yordan GunawanAffiliation unknown2
Emiliya FebriyaniAffiliation unknown2
Le Ho Trung HieuAffiliation unknown2
Ruetaitip ChansrakaeoAffiliation unknown2
Kyushu Davina ShebiarthaAffiliation unknown2
Yusuf SaefudinAffiliation unknown2
Nipon SohhengAffiliation unknown2
Lu SudirmanAffiliation unknown2
Abdul RachmanAffiliation unknown2
Elza SyariefAffiliation unknown2
Rufinus Hotmaulana HutaurukAffiliation unknown1
Usman UsmanUniversitas Syiah Kuala1
Elly SudartiAffiliation unknown1
Riana Devi LestariAffiliation unknown1
Ming Hsi SungAffiliation unknown1
Dwilani IrryntaAffiliation unknown1
Enola EltaryAffiliation unknown1
Febri JayaAffiliation unknown1
Nurul Fadly HabidinAffiliation unknown1
Sholahuddin Al-FatihAffiliation unknown1
Ninne Zahara SilvianiAffiliation unknown1
Muhammad Khaeruddin HamsinAffiliation unknown1
Hilda LutfianiAffiliation unknown1
Abdul HalimAffiliation unknown1
Vicko TaniadyAffiliation unknown1
Upankar ChutiaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/lslr/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">The Adaptability of the Indonesian Judiciary in the Era of Law and Technology Disruption</dc:title>
	<dc:creator xml:lang="en">Afdal, Windi</dc:creator>
	<dc:creator xml:lang="en">Situmeang, Ampuan</dc:creator>
	<dc:creator xml:lang="en">Anggriawan, Rizaldy </dc:creator>
	<dc:creator xml:lang="en">Tan, Winsherly</dc:creator>
	<dc:creator xml:lang="en">Rusdiana, Shelvi</dc:creator>
	<dc:subject xml:lang="en">Legal Disruption, Judicial Reform, AI, Machine learning and Big Data</dc:subject>
	<dc:description xml:lang="en">Legal disruption has been reported to significantly change judicial practice. Therefore, this study aims to explore 2 problem topics, namely 1) how the era of legal and technological disruption affects the profession of judges in carrying out their duties as case deciders, and 2) how is the adaptability of judges in Indonesia in facing the era of legal disruption to ensure their role and function remain relevant. The study procedures were carried out using the normative-empirical legal method, where secondary data were obtained using literature studies. Subsequently, data were enriched with empirical data obtained through field studies. The results showed Artificial Intelligence (AI) and Big Data could be integrated into the judicial system as a transformative solution due to the limited number of judges in Indonesia. The integration was expected to improve the efficiency, consistency, and unity of law enforcement. The profession of judges was required to carry out a transformation that was not only technical but also philosophical. In addition, the Supreme Court Technical Education and Training Center was expected to create an ecosystem where technology could be used as an instrument to improve the quality of Indonesian judges decisions. This could be achieved through hybrid curriculum strategies, inclusive infrastructure, and adaptive regulations.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-11-17</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/lslr/article/view/28896</dc:identifier>
	<dc:identifier>10.15294/lslr.v9i2.28896</dc:identifier>
	<dc:source xml:lang="en">Lex Scientia Law Review; Vol. 9 No. 2 (2025): November, 2025: Law, Policy, and Governance in Contemporary Socio-Economic Transformation; 1546-1586</dc:source>
	<dc:source>2598-9685</dc:source>
	<dc:source>2598-9677</dc:source>
	<dc:source>10.15294/lslr.v9i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/lslr/article/view/28896/7399</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Windi Afdal, Ampuan Situmeang, Rizaldy Anggriawan, Winsherly Tan, Shelvi Rusdiana (Author)</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
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