Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review

Author:

Bhatt Hitesh,Bahuguna Rajesh,Swami Siddharth,Singh Rajesh,Gehlot Anita,Akram Shaik Vaseem,Gupta Lovi Raj,Thakur Amit KumarORCID,Priyadarshi Neeraj,Twala Bhekisipho

Abstract

AbstractThe judiciary is a foundation of democracy, upholding the rule of law and protecting rights. Efficient court administration is vital for public trust, justice, and timely proceedings. Currently, courts face challenges such as inconsistencies, adjournments, and absence of transparency, undermining the justice system. Traditional manual processes and paper-based documentation cause significant backlogs, slow resolutions, and limited public access. As case volumes and complexities rise, modernizing court administration through digital transformation is progressively critical. Currently, many countries are integrating technologies in the courts for its administration and other activities. In recent years, courts and judges have been subjected to pressure to improve performance, uplifting judicial effectiveness to a top priority. Subsequently, several countries have integrated simplification and digitization strategies in judicial initiatives to enhance court efficiency. Switzerland’s Justitia 4.0 and Brazil’s PJE are notable initiatives that focused to strengthen court administration through digitalization. These aspects motivated this study to examine the detailed integration of industry 4.0 technologies such as the Internet of things, cloud computing, blockchain, big data analytics, robotics, drones, Metaverse, digital twins, and artificial intelligence for court administration with digitalized infrastructure. According to the study, integrating these technologies in less complex cases helps minimize expenditures and save time, making to resolve cases conveniently, efficiently, and superiorly. The study also identified the challenges and issues associated with industry 4.0 technologies such as evidence gathering, evidence preservation, robot judges for pre-judgment analysis, and judgment delivery, which future studies need to be explored.

Publisher

Springer Science and Business Media LLC

Reference159 articles.

1. Article 10(2)(f) of the AIA. https://artificialintelligenceact.com/title-iii/chapter-2/article-10/

2. Article 5(1)(a) and (b) of the AIA. https://artificialintelligenceact.com/title-ii/article-5/

3. Article 5(1)(c) of the AIA. https://artificialintelligenceact.com/title-ii/article-5/

4. Article 5(1)(d) of the AIA. https://artificialintelligenceact.com/title-ii/article-5/

5. Adshead DT (2019). Delivering on the sustainable development goals through long-term infrastructure planning. Global Environ Change 59. https://doi.org/10.1016/j.gloenvcha.2019.101975

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