GLIMS Journal of Management Review and Transformation

Can Artificial Intelligence Revolutionise India’s Judiciary System?

Ashraf Rehman¹

First Published 30 Apr 2025. https://doi.org/10.1177/jmrt.251325662

Article Information

Corresponding Author:

Ashraf Rehman, Research Assistant, Department of Management Studies and Industrial Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, India.
Email: ashrafrehman41@gmail.com

¹Department of Management Studies and Industrial Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India

Abstract

Adoption of artificial intelligence (AI) is increasingly shaping India’s economic and judicial landscape. This commentary article aims to examine: (a) AI’s potential to leverage micro, small and medium enterprise (MSME) and (b) understand the usages of AI tools such as SUPACE (Supreme Court Portal for Assistance in Court Efficiency) and SUVAS (Supreme Court Vidhik Anuvaad Software) in the judiciary system of India. Although AI offers opportunities for the economy to grow efficiency, it also raises concern about trust and accountability, particularly in the legal system of a state. Therefore, the article advocates for cautious adoption and the development of AI-centric laws to ensure that AI’s benefits are realised while minimising risks.

Keywords

Artificial intelligence, economic policy, judicial process, policy

References

Dhar, P. (2023). India: Role of artificial intelligence in justice delivery system. Warwick Legal Network.

Mazurek, G., & Jarek, K. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.

McKinsey Global Institute. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey & Company.

Moloi, T., & Marwala, T. (2020). Introduction to artificial intelligence in economics and finance theories. In Artificial intelligence in economics and finance theories (pp. 1–12). Springer. https://doi.org/10.1007/978-3-030-42962-1_1

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

NITI Aayog. (2022). National strategy for artificial intelligence [NITI Aayog Report]. www.niti.gov.in

Observer Research Foundation. (2024).

Pop, M., Ene, I., & Pelau, C. (2021). The impact of artificial intelligence on consumer’s identity and human skills. Amfiteatru Economic, 23(56), 33–45.

Prabhu, A. (2023). Artificial intelligence in the context of the Indian legal profession and judicial system. Bar and Bench. https://www.barandbench.com/columns/artificial-intelligence-in-context-of-legal-profession-and-indian-judicial-system

Rehman, A. (2024). Can artificial intelligence revolutionize India’s judiciary system? India AI. https://indiaai.gov.in/article/can-artificial-intelligence-ai-revolutionize-india-s-judiciary-system

Sharma, P., Shah, J., & Patel, R. (2022). Artificial intelligence framework for MSME sectors with focus on design and manufacturing industries. Materials Today: Proceedings, 62(33), 6962–6966. http://dx.doi.org/10.1016/j.matpr.2021.12.360

Simone, D. V., Pasquale, D. V., & Miranda, S. (2023). An overview on the use of AI/ML in manufacturing MSMEs: Solved issues, limits, and challenges. Procedia Computer Science, 213, 1820–1829.

Singh, G. (2021). A move towards intelligent economy: Indian evidence. Management and Labour Studies, 46(2), 192–203. http://dx.doi.org/10.1177/0258042X21989941 The Hindu. (2024).