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May 10, 20260 citationsOpen Access

The Future of Justice Delivery in India: Opportunities and Challenges of AI Adoption

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SMSandeep ManiBPBhanu PratapSTSantosh Kumar Tiwari

Key Points

  • The aim is to evaluate the potential and challenges of integrating artificial intelligence into the Indian judicial system.
  • Examined the constitutional and legal framework for AI adoption in India.
  • Analyzed the advantages and disadvantages of AI in case management and documentation review.
  • Identified obstacles to implementing AI technology and provided recommendations.
  • AI has the potential to significantly reduce the backlog of 4.5 crore pending cases in India.
  • Key advantages include improved efficiency in case management and accuracy in predictive analysis.
  • Obstacles identified include legal concerns and the need for comprehensive policy frameworks for integration.

Abstract

The Indian judicial system suffers from an enormous backlog of cases, with 4.5 crore pending cases. Artificial Intelligence (AI) could transform the process of delivering justice by making it efficient and accurate. The current paper evaluates the prospects and problems associated with the adoption of AI technology in the Indian justice delivery system. In particular, this paper highlights the constitutional and legal framework for adopting AI, the advantages and disadvantages of using AI in the Indian justice delivery system, and recommendations for the successful integration of artificial intelligence. The current study examines the role of AI in improving case management, documentation review, and predictive analysis in the Indian judicial system. Furthermore, the paper evaluates some of the obstacles to implementing AI technology in India and suggests ways to mitigate these risks. The research provides a useful contribution to the field of justice delivery in India, as it evaluates the opportunities and challenges associated with the introduction of artificial intelligence in the judicial process.

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Cite This Study

Mani et al. (2026) studied this question.

synapsesocial.com/papers/6a0021fec8f74e3340f9d07chttps://doi.org/10.5281/zenodo.20082746
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