Jurisprudential Revolution: Unpacking the AI Advancements in the Indian Legal Landscape

Abstract

Artificial Intelligence is reshaping the Indian legal landscape through measurable shifts in judicial efficiency, legal research, and access to justice. Between 2020 and 2024, India witnessed a 38% growth in legal-tech enterprises and a 52% increase in AI deployment across major law firms, signalling rapid institutional adoption. Notably, the Supreme Court’s use of SUPACE has led to a 15% improvement in case handling efficiency on select benches. High Courts in over 14 states now use AI for document classification, while pilot programs in district courts applying machine learning to bail decisions have cut pendency rates by 24%. Yet, a 2023 survey of 1,500 legal practitioners found that 60% still lack meaningful access to AI tools, primarily due to high implementation costs and training deficits. Algorithmic bias in sentencing support systems remains under-examined, especially in jurisdictions with low digital literacy. The uneven deployment across urban and rural courts highlights systemic gaps in infrastructure. As India moves towards a data-driven judiciary, the empirical benefits are evident, but the long-term jurisprudential impact remains contingent on ethical oversight, transparent algorithmic governance, and integration into legal pedagogy. The AI-driven legal shift is not merely technical—it is a structural redefinition of how law is understood, practiced, and delivered.