AI in Legal Systems: A Comparative Analysis of India’s and China’s Administration of Justice

  • Rijul Goel
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  • Rijul Goel

    Student at Law College Dehradun, Uttaranchal University, Dehradun, Uttarakhand, India

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Abstract

AI raises a lot of concerns for judges and legal systems. The potential benefits of AI for court administration and the accompanying requirements are important factors to take into account. Regardless of the kind of case, the fundamental goal of legal processes is the simplification of complexity. Not every legal assignment requires sophisticated bespoke work. As a result, different types of IT, such as artificial intelligence, show varying degrees of applicability in different scenarios. As part of larger changes, the Chinese authorities and judicial system have chosen in recent years to heavily integrate artificial intelligence. This significant use of AI in the judicial system is unique to China and is the result of enduring problems the courts face, such an extreme increase in their cases and a lack of qualified staff. As a result, a number of pilot operations have been started around the country, integrating different AI systems into different areas of the legal system. Lately, artificial intelligence has also been integrated into the Indian legal system. This article examines the shortcomings in the Indian legal system's effective integration of artificial intelligence (AI) and offers remedial strategies based on the Chinese model that may be used to ensure the continued growth and successful integration of AI in India's law system.

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International Journal of Legal Science and Innovation, Volume 6, Issue 4, Page 241 - 252

DOI: https://doij.org/10.10000/IJLSI.112098

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

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