Role of Artificial Intelligence in the Indian Judicial System
Keywords:
Artificial Intelligence, Indian Judiciary, case management, legal research, accessibility, algorithmic bias, ethical implicationsAbstract
Artificial Intelligence Integration in the Judicial System of India: A paradigm shift in justice delivery more than 4.32 crore cases are adjourned in various courts and there is a considerable burden on the judiciary to populate its operational efficiency. For instance, tools, like Supreme Court Portal for Assistance in Court Efficiency (Judicial Decision Support) and Supreme Court Vidhik Anuvaad
Software (Document Translation) relying on artificial intelligence, are being developed and implemented for better case management and legal research. Such innovations not only speed processes that have become rote tasks but also help break down language barriers, allowing more people to use more resources that they could not have accessed otherwise. The COVID-19 pandemic accelerated the trend and revealed the promising aspect of artificial intelligence that uses virtual hearings and online dispute resolution mechanisms and processes. Nonetheless, the incorporation of artificial intelligence comes with hurdles as well, with algorithmic bias, accountability, and ethical consequences being considerations to weigh cautiously. It is critical to use artificial intelligence as a tool of justice, rather than a substitute for human judgment. While the Indian judiciary is integrating
itself into this technological revolution, it should ensure development scales along with ethical considerations to galvanize public confidence and ensure fairness and equity. This paper discusses the various ways in which artificial intelligence is both benefiting the Indian judicial system and simultaneously how the Indian judicial system is affording a big question of whether artificial
intelligence is doing good for the whole society, what are the current challenges and measures that are to be taken to solve these challenges in the future to make justice deliverable in an efficient manner where artificial intelligence can work together with its subordinate systems.
References
1.
Singh B, Arora MK, Lal S. Mapping nature, environment with SDG-9; harnessing machine learning, fostering planet earth protection. Nat J Environ Law. 2024;7(1):90–3.
2.
Arora MK, Lal S, Mishra S, Singh B. Case study of cross-border insolvency of Indian real estate companies. Nat J Real Est Law. 2024;7(1):9–12.
3.
Arora MK, Lal S, Singh B. A way forward to realm of environmental law in India: Unveiling judicial activism and enforcement challenges. Nat J Environ Law. 2024;7(1):85–9.
4.
Raghav A, Arora MK, Lal S, Singh B. Significance role of renewable resources for energy in environmental protection. Nat J Environ Law. 7(1).
5. Singh B, Kaunert C. Leveraging IoT for patient monitoring and smart healthcare: Connected healthcare system. In: B. S & S. Kadry, editors, Revolutionizing Healthcare Systems Through Cloud Computing and IoT. IGI Global; 2025. pp. 27–46. doi: https://doi.org/10.4018/979-8-3693-7225-8.ch002
6. Singh B, Kaunert C, Lal S, Arora MK. Enhancing AI-augmented classrooms: Teacher-centric integration of intelligent tutoring systems and adaptive learning environments. In: M. Sanmugam, B. Edwards, N. Mohd Barkhaya, & Z. Khlaif, editors, Fostering Inclusive Education With AI and Emerging Technologies. IGI Global Scientific Publishing; 2025. pp. 99–130. doi: https://doi.org/10.4018/979-8-3693-7255-5.ch004
7. Singh B, Lal S, Arora MK, Kaunert C. Mounting legal-driven solutions for plastic pollution focusing on environment and coastal management: Eradicating marine pollution in alignment with SDG 14 (life below water). In: N. Gaur, E. Sharma, T. Nguyen, M. Bilal, & N. Melkania, editors, Societal and Environmental Ramifications of Plastic Pollution. IGI Global; 2025. pp. 223–252. doi: https://doi.org/10.4018/979-8-3693-9163-1.ch011
8. Singh B, Singh A, Kaunert C, Arora MK, Lal S, Ravesangar K. Unleashing the ethical and legal implications of e-business revolution: Consumer privacy and security concerns in phase of digital disruption. In: H. Taherdoost, G. Drazenovic, M. Madanchian, I. Khan, & O. Arshi, editors, Business Transformation in the Era of Digital Disruption. IGI Global; 2025. pp. 157–180. doi: https://doi.org/10.4018/979-8-3693-7056-8.ch006
9. Singh B, Kaunert C. Innovative business models in digital and virtual reality for the gig economy: Space-age sustainable development projecting smart business practices. In: H. Taherdoost, G. Drazenovic, M. Madanchian, I. Khan, & O. Arshi, editors, Business Transformation in the Era of Digital Disruption. IGI Global; 2025. pp. 127–156. doi: https://doi.org/10.4018/979-8-3693-7056-8.ch005
10. Raghav A, Singh B, Jermsittiparsert K, Raghav R, Yadav U. Artificial intelligence in environmental and climate changes: a sustainable future. In: B. Singh, C. Kaunert, K. Vig, & S. Dutta, editors, Maintaining a Sustainable World in the Nexus of Environmental Science and AI. IGI Global; 2024. pp. 485–506. doi: https://doi.org/10.4018/979-8-3693-6336-2.ch019
11. Kaushik TK, Singh RA, Raghav A, Singh B, Arora MK, Lal S. Untapping artificial intelligence in environmental and sustainable progression: projecting legal and ethical considerations. In: B. Singh, C. Kaunert, K. Vig, & S. Dutta, editors, Maintaining a Sustainable World in the Nexus of Environmental Science and AI. IGI Global; 2024. pp. 109–130. doi: https://doi.org/10.4018/979-8-3693-6336-2.ch005
12. Singh B, Kaunert C, Malviya R, Lal S, Arora MK. Scrutinizing consumer sentiment on social media and data-driven decisions for business insights: Fusion of artificial Intelligence (AI) and business intelligence (BI) foster sustainable growth. In: A. Natarajan, M. Galety, C. Iwendi, D. Das, & A. Shankar, editors, Intersection of AI and Business Intelligence in Data-Driven Decision-Making. IGI Global; 2024. pp. 183–210. doi: https://doi.org/10.4018/979-8-3693-5288-5.ch007
13. Singh B, Kaunert C, Jermsittiparsert K, Lal S, Arora MK, Raghav A. Ultimate deep learning acclimatization with artificial intelligence drones for environment shield and climate change: Lifting sustainability towards fostering SDG 13. In: B. Singh, C. Kaunert, K. Vig, & S. Dutta, editors, Maintaining a Sustainable World in the Nexus of Environmental Science and AI. IGI Global; 2024. pp. 59–80. doi: https://doi.org/10.4018/979-8-3693-6336-2.ch003
14. Singh B, Raghav A, Jermsittiparsert K. Potential benefits of artificial intelligence and machine learning to overcome health consequences of sexual violence: The case of Thailand and India. Asia Crim Soc Rev. 2024;11(2):102–8.
15. Singh N, Lal S, Raghav A, Arora MK, Singh B, Kaunert C. Power of ML and DL in precision modeling and climate predictions: NextGen ocean insights. In: B. Riswandi, B. Singh, C. Kaunert, & K. Vig, editors, AI Applications for Clean Energy and Sustainability. IGI Global; 2024. pp. 254–273. doi: https://doi.org/10.4018/979-8-3693-6567-0.ch013
16. Singh B, Kaunert C, Lal S, Arora MK, Singh G. Abundance ocean wave energy to electricity with artificial intelligence and IoT solutions: Future of clean energy and sustainability in smart cities. In: B. Riswandi, B. Singh, C. Kaunert, & K. Vig, editors, AI Applications for Clean Energy and Sustainability. IGI Global; 2024. pp. 274–298. doi: https://doi.org/10.4018/979-8-3693-6567-0.ch014
17. Lal S, Arora MK, Riswandi BA, Singh N, Singh B. Melding artificial intelligence and remote sensing data for real-time monitoring of marine biodiversity. In: B. Riswandi, B. Singh, C. Kaunert, & K. Vig, editors, AI Applications for Clean Energy and Sustainability. IGI Global; 2024. pp. 299–319. doi: https://doi.org/10.4018/979-8-3693-6567-0.ch015
18. Arora MK, Lal S, Singh B, Olyaee M. Through an energy lens: Examining SDGs from a policy perspective. In: B. Riswandi, B. Singh, C. Kaunert, & K. Vig, editors, AI Applications for Clean Energy and Sustainability. IGI Global; 2024. pp. 320–343. doi: https://doi.org/10.4018/979-8-3693-6567-0.ch016
19. Kaushik TK, Singh RA, Raghav A, Singh B. Potential of artificial intelligence in the agricultural industry: A comprehensive review. In: B. Riswandi, B. Singh, C. Kaunert, & K. Vig, editors, AI Applications for Clean Energy and Sustainability. IGI Global; 2024. pp. 344–365. doi: https://doi.org/10.4018/979-8-3693-6567-0.ch017
20. Singh B, Kaunert C. Hidden gems breakthrough dynamic landscape of adaptive learning technologies for higher education: Bridging the gap between theoretical and practical knowledge projecting student learning outcomes. In: T. Minh Tung, editor, Adaptive Learning Technologies for Higher Education. IGI Global; 2024. doi: https://doi.org/10.4018/979-8-3693-3641-0.ch010
21. Singh B, Kaunert C. Reinventing artificial intelligence and blockchain for preserving medical data. Ethical Artificial Intelligence in Power Electronics. CRC Press; 2024. pp. 77–91.
22. Raghav A, Arora MK, Lal S, Singh B. Significance role of renewable resources for energy in environmental protection. Nat J Environ Law. 2024;7(1).
23. Lal S, Singh B. Assaying the copyright law jurisprudence in the age of artificial intelligence: A comparative study. Libr Progr Int. 2024;44(3):15748–59.
24. Lal S. Role of artificial intelligence (AI) and intellectual property rights (IPR) in transforming drug discovery and development in the life sciences: Legal and ethical concerns. Libr Progr Int. 2024;44(3):7070–82.
25. Singh B, Arora MK, Lal S. Comparative analysis of nexus between judicial review and judicial activism in India. J Constit Law and Jurisprud. 2024;7(2):6–12.
