Reducing India’s 45-Million Case Backlog with Legal AI

India’s judiciary is facing a crisis of scale. Legal AI can help reduce administrative burden but only when deployed responsibly and under judicial oversight.
As of 2024, over 45.3 million cases remain pending across Indian courts, creating one of the world’s largest judicial backlogs. While recent disposal rates have shown improvement, administrative inefficiencies continue to slow the delivery of timely justice.This white paper from Durwankur AI Lab explores how AI-assisted legal technologies including document processing, case summarisation, order drafting assistance, and workflow automation can significantly improve judicial efficiency without replacing judicial decision making.
The challenge behind the backlog
Research shows that a major share of court delays comes not from hearings themselves, but from administrative tasks surrounding every case: document verification, scheduling, drafting, transcription, and evidence management. These repetitive processes consume valuable judicial time and create operational bottlenecks across courts and tribunals.The paper examines how AI systems can automate or accelerate these workflows, allowing judicial officers and court staff to focus more on substantive legal work and case resolution.
What this white paper covers
AI-assisted document processing in Indian courts
Case summarisation for faster judicial preparedness
Draft-order generation for routine matters
Conservative projections of productivity improvements
Integration with eCourts Phase III infrastructure
Data sovereignty, governance, and compliance requirements
Recommendations for pilot deployment across Indian states
A governance-first approach to Legal AI
This paper advocates a practical, government-first framework for deploying Legal AI in India focused on transparency, accountability, auditability, and human oversight. The goal is not to replace judges, but to strengthen institutional capacity and improve access to justice at scale.