Advanced Judicial Technology, E-Courts, and Artificial Intelligence: Reimagining the Architecture of Justice Delivery

Authors

Ms. Harmandeep Kaur

Assistant Professor, University School of Law, Guru Kashi University, Talwandi Sabo, Bathinda (India)

Article Information

DOI: 10.51584/IJRIAS.2026.11060196

Subject Category: Law

Volume/Issue: 11/6 | Page No: 2542-2548

Publication Timeline

Submitted: 2026-06-21

Accepted: 2026-06-26

Published: 2026-07-08

Abstract

The global judicial system is undergoing a profound paradigm shift driven by the transition from mechanical digitalization to algorithmic automation. This article analyzes the integration of advanced judicial technology, e-Courts framework, and Artificial Intelligence (AI) within the justice delivery system, with a primary empirical focus on the Indian legal ecosystem. Charting the progression from basic computerization under early Information and Communication Technology (ICT) protocols to the newly deployed e-Courts Mission Mode Project Phase III, this study examines the deployment of specialized Natural Language Processing (NLP) and Machine Learning (ML) tools. It assesses algorithmic assets such as SUPACE (Supreme Court Portal for Assistance in Court's Efficiency) and SUVAS (Supreme Court Vidhik Anuvaad Software) alongside newly integrated transcription systems like ASR-SHRUTI and PANINI.
By evaluating regulatory responses—including the Supreme Court’s 2025 White Paper on Judicial AI, the Digital Personal Data Protection (DPDP) Act, 2023, and the landmark 2026 state-level judicial AI policies—this paper highlights the constitutional tensions between algorithmic efficiency and procedural due process. The findings argue that while AI and e-Court architectures are indispensable for reducing massive case backlogs and systemic administrative delays, their deployment must be strictly bound by a "responsible AI" framework. This model requires that technology act strictly as an assistive tool to preserve human oversight, cognitive independence, and the rule of law.

Keywords

e-Courts Phase III, Artificial Intelligence in Judiciary, SUPACE & SUVAS, Algorithmic Due Process, Judicial Automation, Responsible AI Framework

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References

1. Bombay Bar Association v. State of Maharashtra, Guidelines on Ethical and Practical Use of Artificial Intelligence in the Judicial Process (Issued July 2025). [Google Scholar] [Crossref]

2. Darshan Singh v. State of Punjab, (2010) 2 SCC 333. [Google Scholar] [Crossref]

3. From Digitisation to Intelligence: How AI is Enhancing Access to Justice in India. (2026). Press Information Bureau (PIB), Union Ministry of Law and Justice, Government of India. Retrieved February 2026. [Google Scholar] [Crossref]

4. Gabor, T. (2016). Confronting gun violence in America: Characteristics of gun deaths and solutions. Palgrave Macmillan. [Google Scholar] [Crossref]

5. Hegde, P. R., Malik, Y., Kumar, C. N., & Math, S. B. (2024). The Bharatiya Nyaya Sanhita Act (BNSA) 2023: Implications for forensic psychiatry in India. Indian Journal of Psychological Medicine, 46(4), 312–318. https://doi.org/10.1177/02537176241281465 [Google Scholar] [Crossref]

6. High Court of Gujarat. (2026). Policy Framework and Operational Rules on the Integration of Artificial Intelligence Systems in the Administration of Subordinate Courts. Gujarat Law Journal Press. [Google Scholar] [Crossref]

7. High Court of Kerala. (2025). Policy Regarding Use of Artificial Intelligence Tools in District Judiciary. Rules Committee Publication, July 2025. [Google Scholar] [Crossref]

8. India | Increasing use of AI across the justice system. (2026). Oxford Technology and Justice Analytics Project, Blavatnik School of Government, Oxford University. [Google Scholar] [Crossref]

9. McWilliam, J. G. (2025). Second Amendment principles. William & Mary Bill of Rights Journal, 33(4), 1127–1182. [Google Scholar] [Crossref]

10. Nath, P. (2026). Significance of new criminal laws in today's India – An analysis. Journal of Legal Research and Polity, 3(1), 20–28. [Google Scholar] [Crossref]

11. National Judicial Data Grid (NJDG). (2025). Annual Caseload and Pendency Real-Time Analytics Report. e-Committee, Supreme Court of India. [Google Scholar] [Crossref]

12. Roy, T. (2024). NAMS task force report on gunshot and blast injuries. Annals of the National Academy of Medical Sciences (India), 60(4), 299–323. [Google Scholar] [Crossref]

13. Supreme Court of India. (2025). White Paper on the Responsible Integration of Artificial Intelligence and Machine Learning in Judicial Decision-Making Support Frameworks. e-Committee Publication. [Google Scholar] [Crossref]

14. Supreme Court of India. (2026). Newsletter of the e-Committee, Supreme Court of India, Vol. XI(3), published March 2026. [Google Scholar] [Crossref]

15. Yazgi, S., & Donati, M. (2021). The arms-related risk analysis toolkit. United Nations Institute for Disarmament Research (UNIDIR). [Google Scholar] [Crossref]

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