Global AI Impact Commons
AI-powered legal infrastructure for Indian courts and governments
India
Justice and Governance
Implementing Organisation
Jhana.ai
India, Karnataka, Bengaluru
Implementing Point of Contact
Smita Gupta
Director, GovTech and Public Sector
Contributor of the Impact Story
Jhana.ai
Year of implementation
2024
Problem statement
Legal risk accumulates silently across everyday life events yet citizens lack any framework for legal wellness. Courts process tens of thousands of pages weekly, yet judges and registries remain constrained by cognitive bandwidth rather than intent. The absence of AI-native legal infrastructure prevents courts from transforming raw filings into structured, searchable, and auditable institutional memory.
Impact story details
Jhana is India's leading legal AI lab, founded in 2022 at Harvard University, serving over 15,000 monthly active lawyers, judges, and principals. Courtroom by jhana automates routine work across the case lifecycle and brings powerful decision support tools for judges and listing registrars. jhana's AI tools for researching case law and procedure have over 150 judges and 200 government staff among voluntary users.
AI Technology Used
Key Outcomes
Efficiency
Productivity
Access
Reach
Accuracy
Quality Improvement
User Experience
Satisfaction
Knowledge
Skills Impact
Impact Metrics
Net Promoter Score / satisfaction rating from pilot evaluation team
Post-Implementation
100 % NPS (5 out of 5)
Number of verified legal professionals actively using AI legal research and drafting tool
Post-Implementation
10 ,535 verified legal professionals
Average time taken to complete filing scrutiny checks on commercial e-filings
Post-Implementation
3 minutes turnaround time
Turn-around time from e-filing to indexing/processing completion
Post-Implementation
Less than 15 minutes turnaround time
Time taken to convert published cause-list into processed populated judge dashboards
Post-Implementation
Less than 15 minutes for conversion
Volume of pages processed per week for judicial note-taking and preparation
Post-Implementation
Over 10,000 pages per week processed
Number of verified judge users adopting AI dictation tool organically
Post-Implementation
Over 150 verified judge users
Implementation Context
Supreme Court of India, High Courts of Karnataka, Madras (Tamil Nadu), Telangana, Kerala, ITAT, district courts
Judges, Registrars, Court staff, Government lawyers, Arbitrators, Lawyers and indirectly litigants and citizens
Key Partnerships
Government and Judicial Partnerships
Replicability & Adaptation
Replication requires structured localization including procedural localization, linguistic and format adaptation, institutional and governance adaptation, and change management.
Supporting Materials
* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.