Implementation of Legal Informatics through Industry 4.0: A Fuzzy TOPSIS Approach

Over the past decade legal informatics has expanded due to technological advancements and growing digitalization of legal processes. In the context of Industry 4.0, legal informatics plays an increasingly relevant role as it refers to how information technology is applied to law, that is, processing legal information in such a way as to enable better decisions and achieve outcomes under laws and regulations applicable to the specific situation. Also, Industry 4.0 is referring to the fourth industrial revolution that represents a fundamental change in industrial production through necessary integration of advanced information and communication technologies into traditional manufacturing processes. This integration has led to the emergence of smart factories and interconnected systems that enable enhanced efficiency, productivity, and flexibility in manufacturing operations. The purpose of this study is to understand the concealed relationship between Industry 4.0 and legal informatics systems in the Indian context. Therefore, the present study identify and prioritize the various implementation factor in the integration of legal informatics systems through Industry 4.0 based technologies. The study utilized multi-criteria decision-making approach such as Fuzzy TOPSIS for the illustration of the proposed methodology. The results of the study show that ICT law is the major alternative, while sustainable LI is the least prioritized. The findings will help scholars and policymakers to a detailed understanding of Industry 4.0 and legal informatics. Finally, the study presents current challenges and future research directions and tries to find out the integration of the important contemporary issues that currently remain scarce.

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.52783/eel.v15i1.2747
Primary Topic
Law, AI, and Intellectual Property
Type
article
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Implementation of Legal Informatics through Industry 4.0: A Fuzzy TOPSIS Approach

Law, AI, and Intellectual Property
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Implementation of Legal Informatics through Industry 4.0: A Fuzzy TOPSIS Approach

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Abstract

Over the past decade legal informatics has expanded due to technological advancements and growing digitalization of legal processes. In the context of Industry 4.0, legal informatics plays an increasingly relevant role as it refers to how information technology is applied to law, that is, processing legal information in such a way as to enable better decisions and achieve outcomes under laws and regulations applicable to the specific situation. Also, Industry 4.0 is referring to the fourth industrial revolution that represents a fundamental change in industrial production through necessary integration of advanced information and communication technologies into traditional manufacturing processes. This integration has led to the emergence of smart factories and interconnected systems that enable enhanced efficiency, productivity, and flexibility in manufacturing operations. The purpose of this study is to understand the concealed relationship between Industry 4.0 and legal informatics systems in the Indian context. Therefore, the present study identify and prioritize the various implementation factor in the integration of legal informatics systems through Industry 4.0 based technologies. The study utilized multi-criteria decision-making approach such as Fuzzy TOPSIS for the illustration of the proposed methodology. The results of the study show that ICT law is the major alternative, while sustainable LI is the least prioritized. The findings will help scholars and policymakers to a detailed understanding of Industry 4.0 and legal informatics. Finally, the study presents current challenges and future research directions and tries to find out the integration of the important contemporary issues that currently remain scarce.

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Law, AI, and Intellectual Property
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Implementation of Legal Informatics through Industry 4.0: A Fuzzy TOPSIS Approach · (2025) | TGRS Research Map | TGRS