- Why in news
- On 11 February 2026, PIB published an explainer on how AI is used in India's courts. It covers SUPACE, SUVAS, e-filing defect checks and the eCourts Phase III outlay of ₹7,210 crore.
- What it is
- SUPACE (Supreme Court Portal for Assistance in Court Efficiency) is an AI-based tool meant to help identify relevant precedents and understand the factual matrix of cases. It is a research aid for judges and does not decide cases. It sits within the wider eCourts project, a Mission Mode Project run by the Department of Justice.
- SUPACE
- AI system to find relevant precedents and understand case facts. It is still experimental and not yet in regular judicial use.
- eCourts Phase III outlay
- ₹7,210 crore, with funds earmarked for future technology such as AI, ML and blockchain.
- SUVAS
- Supreme Court Vidhik Anuvaad Software, an AI translation tool. It translates English judgments into vernacular languages, and the translations are hosted on the e-SCR portal.
- E-filing defect checks
- The Supreme Court Registry built AI tools with IIT Madras to flag defects in e-filings. The tools are in a pilot phase.
- AI Committee
- The Supreme Court's AI Committee is chaired by a sitting Supreme Court judge. It reviews pilots before wider adoption.
Don’t confuse with SUPACE vs SUVAS: SUPACE helps with legal research and precedents. SUVAS translates judgments into regional languages.
Don’t confuse with SUPACE vs LegRAA: Both are research aids. LegRAA analyses documents and extracts legal references, while SUPACE identifies precedents and understands the factual matrix of cases.
Science and technology: 57 Prelims questions since 2013; most test the concept behind the news, not the news itself. In Mains, 12 news-triggered questions.
Why it matters
- AI can cut delays in transcription, translation, filing scrutiny and research, which supports access to justice.
- Translation into regional languages reduces the language barrier for litigants.
Problems
- Data privacy, security and bias in AI tools need safeguards.
- Risk of over-reliance on AI affecting judicial independence; tools are still pilots or experimental.
Way forward
- Keep AI assistive with human validation and oversight by the Supreme Court AI Committee.
- Test pilots, build technical capacity and enforce data-protection standards before scaling.
Put in your answer
eCourts Phase III outlay: ₹7,210 crore, with funds earmarked for AI, ML and blockchain.
Judgment translation: The Supreme Court's AI tools translate judgments into 18 Indian languages, which widens access to justice.
NAFIS: A national fingerprint repository with over 1.23 crore records, part of the criminal justice digital ecosystem.
- 2026Mains GS4 · Q1Discuss accountability and integrity of AI-generated Ph.D. evaluation report.
- 2024Mains GS4 · Q1Critically examine AI as dependable input for administrative decisions, ethically.
UPSC’s own questions that come close to this issue, from our Prelims and Mains banks.
No practice question for this one; the card may still help an answer. Why: Explainer on AI in courts; useful background but few hard facts for a statement.
Worth revising until Prelims 2027: most news questions come within two years of the event.