SUVAS translates 36,271 Supreme Court judgments into Hindi

AI system

System: SUVAS (Supreme Court Vidhik Anuvaad Software), AI-assisted legal translation with human verification
Model: Not assessed
Release: Not assessed
Provider: Not assessed
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Machine translation of English judgments by SUVAS. Review by High Court AI-assisted translation committees before upload. Publication on the e-SCR portal and High Court websites.
Human oversight: Not assessed
Relation to AI: Court documents attribute the translations to SUVAS with human review by translation committees. The sources do not evaluate accuracy or separate machine from human contribution. The PIB release behind the 36,271/17,142 figures is not itself among the sources. So it is cited via the peer-reviewed article that quotes it.
AI contribution: Not assessed

Outcome identifiers: Not assessed
Benefit: translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages
Category: Improved Knowledge Discovery
Status: Not assessed
Beneficiary groups: People. Organizations. Society.
Beneficiaries: Not assessed
Reach: Not assessed
Distribution and access: Not assessed
Duration: Not assessed
Expected?: Yes
Costs and harms: Not assessed

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages
Comparison: Not assessed
Results: translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Participants: Operator: Supreme Court of India; High Courts' SUVAS Cells and AI-assisted translation committees.
Jurisdictions: Benefit: New Delhi, India. Operator: India.
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Conditions for replication: Digitized English judgments as input. Committees with capacity to verify output in each language. Hosting portals for the translated texts.
Replication attempts: 1 follow-up entries. Benefit recurred: 1.
Later findings: 6 June 2025. Ten months after the 5 August 2024 count, the Chief Justice of India told a Microsoft audience that SUVAS had translated over 100,000 judgments into 18 regional languages, per the Supreme Court's 2024-25 annual report.
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Assessed benefits: People. Organizations. Society.
Depth: Not assessed
Reasons: People: Aggregate translation counts; no identifiable beneficiary event. Organizations: Court-reported totals rather than a discrete outcome. Society: National aggregate; no evaluation of use or comprehension by litigants.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently studied

Kind

Not assessed

Related entries

Government legal translation by an automated tool, as with SUVAS, swapped pronouns in a refugee's written statement and her asylum claim was denied.

Field

Courts: access to judgments. Judicial translation.

Purpose

Translate Supreme Court and High Court judgments from English into Indian languages to widen access

Dates

Date basis unassessed: 2024 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: 674b62b27c5b…