Judicial Revolution Empowering Democracy through AI-Based Judges

  • Subhranil Bhowmik
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  • Subhranil Bhowmik

    Lawyer in India.

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This research paper explores a transformative proposal within the realm of democracy and governance, focusing on the sub-theme of "Judiciary and Artificial Intelligence." The persistent challenge of case disposal backlog in the Indian judiciary has prompted an innovative solution – the integration of AI-based judges. These judges, powered by advanced machine learning algorithms, possess the potential to expedite case resolution while ensuring fairness and accuracy. Furthermore, this paper delves into the multi-faceted benefits of this proposal. Not only does it address the longstanding issue of case backlog, but it also offers an opportunity to empower unemployed software engineers, tapping into their expertise to develop and refine AI systems for the judiciary. This synergy not only provides meaningful employment but also promotes technological innovation within the legal domain. While acknowledging the invaluable qualities of human judges, this research underscores the importance of a hybrid model that combines the strengths of both AI-based and human judges. By preserving human empathy, contextual understanding, and the ability to consider social factors, this approach ensures optimal outcomes in the justice system. The implications of this proposal reach beyond the judiciary, impacting democracy and governance on a broader scale. As we delve into this visionary initiative, this paper underscores the potential to modernize the justice system, making it more efficient, accessible, and equitable. The research paper calls for further exploration of this ground breaking concept, underscoring its significance in transforming our justice system and positively impacting the lives of many.


Research Paper


International Journal of Legal Science and Innovation, Volume 5, Issue 6, Page 92 - 108

DOI: https://doij.org/10.10000/IJLSI.111719

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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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