{
  "id": "AIBD-0086",
  "title": "Supreme Court of India's SUVAS translation software: 36,271 judgments translated into Hindi and 17,142 into 16 other languages by 5 August 2024",
  "summary": "SUVAS translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages by 5 August 2024; High Courts report own totals",
  "date_observed": "2024-08-05",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "SUVAS (Supreme Court Vidhik Anuvaad Software) is the Supreme Court of India's AI-assisted tool for translating English judgments into Indian languages. A 2025 peer-reviewed article cites Press Information Bureau figures as on 5 August 2024. By then 36,271 Supreme Court judgments were translated into Hindi and 17,142 into 16 other regional languages. The Supreme Court's Annual Report 2024–25 summarizes a judge's address crediting SUVAS with translating over 100,000 judgments into 18 regional languages. It also records High Court translation work. Jammu & Kashmir and Ladakh, which the report says uses SUVAS, translated 4,426 Supreme Court judgments into Urdu. Manipur's AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review. The report calls this “AI-assisted translation” without naming the tool. These are aggregates. No single translated judgment with a dated delivery was found.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Translate Supreme Court and High Court judgments from English into Indian languages to widen access",
  "system": "SUVAS (Supreme Court Vidhik Anuvaad Software), AI-assisted legal translation with human verification",
  "model_version": null,
  "developer": null,
  "deployer": "Supreme Court of India; High Courts' SUVAS Cells and AI-assisted translation committees",
  "location": "New Delhi, India",
  "domain": "Courts: access to judgments",
  "segment": "Judicial translation",
  "benefit_type": "Improved Knowledge Discovery",
  "taxonomy_note": "Translation of judgments into Indian languages is read as access to information; it also serves inclusion of non-English readers.",
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": null,
      "reason": "Aggregate translation counts; no identifiable beneficiary event."
    },
    {
      "group": "organizational",
      "depth": null,
      "reason": "Court-reported totals rather than a discrete outcome."
    },
    {
      "group": "societal",
      "depth": null,
      "reason": "National aggregate; no evaluation of use or comprehension by litigants."
    }
  ],
  "ai_role": {
    "status": "unassessed",
    "statement": "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."
  },
  "evidence": [
    {
      "kind": "peer-reviewed study",
      "citation": "Anbarasi, G. & Sankar, D. (2025). Greening the justice system: assessing the legality, feasibility, and potential of artificial intelligence in advancing environmental sustainability within the Indian judiciary. Frontiers in Political Science. doi:10.3389/fpos.2025.1553705 (citing PIB, 5 Aug 2024).",
      "title": "Greening the justice system (Frontiers in Political Science)",
      "url": "https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553705/full",
      "date": "2025-05-14",
      "written_by": "independent",
      "quote": "As on 05.08.2024, 36,271 Supreme Court Judgments have been translated in Hindi language and 17,142 Judgments of Supreme Court have been translated in other 16 regional languages."
    },
    {
      "kind": "report",
      "citation": "Supreme Court of India (2025). Indian Judiciary: Annual Report 2024-25, Volume 1 (Supreme Court), printed p. 147 (conference summary, 6 Jun 2025); hosted January 2026.",
      "title": "Indian Judiciary: Annual Report 2024-25, Volume 1",
      "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf",
      "date": null,
      "written_by": "deployer",
      "quote": "SUVAS (Supreme Court Vidhik Anuvaad Software) translating over 100,000 judgments into 18 regional languages"
    },
    {
      "kind": "report",
      "citation": "Supreme Court of India (2025). Indian Judiciary: Annual Report 2024-25, Volume 2 (High Courts), High Court of Jammu & Kashmir and Ladakh section, printed p. 135; hosted January 2026.",
      "title": "Indian Judiciary: Annual Report 2024-25, Volume 2",
      "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf",
      "date": null,
      "written_by": "deployer",
      "quote": "The Supreme Court Vidhik Anuvaad Software (SUVAS) is being effectively utilized to translate judgments into local languages like Urdu, enhancing accessibility for a wider audience. To date, 4,426 Supreme Court judgments and 60 High Court judgments have been translated into vernacular (Urdu) language."
    }
  ],
  "replication": {
    "produced_by": [
      "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"
    ],
    "must_hold": [
      "Digitized English judgments as input",
      "Committees with capacity to verify output in each language",
      "Hosting portals for the translated texts"
    ],
    "echoes": [
      {
        "date": null,
        "setting": "High Court of Manipur: its AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review; the report calls this “AI-assisted translation” and names no tool (Annual Report 2024–25, Vol. 2, printed p. 211)",
        "model_version": null,
        "outcome": "recurred",
        "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf"
      }
    ]
  },
  "paired_incident": {
    "database": "AI Incident Database",
    "identifier": "532",
    "title": "AI translation is jeopardizing Afghan asylum claims",
    "url": "https://incidentdatabase.ai/cite/532",
    "severity": null,
    "group": "personal",
    "basis": "Government legal translation by an automated tool, as with SUVAS, swapped pronouns in a refugee's written statement and her asylum claim was denied."
  },
  "headline": "SUVAS translates 36,271 Supreme Court judgments into Hindi",
  "metric": "translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages",
  "comparator": null,
  "later": {
    "status": "scaled",
    "date": "2025-06-06",
    "note": "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.",
    "quote": "Justice Surya Kant, Chief Justice of India addressed Microsoft’s leadership on artificial intelligence’s transformative impact on law, exploring how AI redefines fundamental values of fairness, accountability, and the rule of law while serving as a strategic ally in enhancing justice’s foundations of accessibility, efficiency, and transparency. He detailed India’s pioneering AI initiatives including SUVAS (Supreme Court Vidhik Anuvaad Software) translating over 100,000 judgments into 18 regional languages,",
    "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf"
  },
  "value": null,
  "developer_country": null,
  "deployer_country": "India",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Paired with AI Incident Database incident 532 (high confidence); severity not given by the source.",
      "source": "https://incidentdatabase.ai/cite/532",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Removed the Uttarakhand echo because the Annual Report's Uttarakhand section names no translation tool, restated the Manipur figures in the account and echo as “AI-assisted translation” with the tool unnamed, as the report puts it, extended the Jammu & Kashmir quote to the sentence crediting SUVAS, set the Frontiers article's date to its stated publication date of 14 May 2025, reclassified the two Annual Report volumes as reports cited as 2025 publications hosted January 2026, and corrected the deployer because the only SUVAS Cells in the sources are High Court units.",
      "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf; https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf; https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553705/full",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Improved Knowledge Discovery under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the deployer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/Supreme_Court_of_India",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what happened since from the cited sources.",
      "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "studied",
  "shade": "high",
  "claim_status": "Independently studied",
  "claim_basis": "Sources: one independent peer-reviewed study and two reports from the deployer. The cited evidence includes no finding by a regulator or court.",
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          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
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          "kind": "record_fields",
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              "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf"
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          }
        },
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        },
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      },
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        "review_state": "not_assessed",
        "coverage": "partial"
      },
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        "state": "value_present",
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          "kind": "record_fields",
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      },
      "infrastructure_dependencies[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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      "outcomes[].beneficiaries": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiary_count": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].benefit_type": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "benefit_type": "Improved Knowledge Discovery",
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          }
        },
        "provenance": {
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        },
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        "review_state": "not_assessed",
        "coverage": "partial"
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
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        "value": {
          "kind": "record_fields",
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            "ratings": [
              {
                "group": "personal",
                "reason": "Aggregate translation counts; no identifiable beneficiary event."
              },
              {
                "group": "organizational",
                "reason": "Court-reported totals rather than a discrete outcome."
              },
              {
                "group": "societal",
                "reason": "National aggregate; no evaluation of use or comprehension by litigants."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
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          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
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        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
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          }
        },
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            "purpose"
          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
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          "kind": "record_fields",
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            "deployer_country": "India"
          }
        },
        "provenance": {
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            "deployer_country"
          ],
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        },
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      },
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          }
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            "purpose"
          ],
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        },
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        "coverage": "partial"
      },
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          "kind": "record_fields",
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            "revisions": [
              {
                "date": "2026-10-20",
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                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Paired with AI Incident Database incident 532 (high confidence); severity not given by the source.",
                "source": "https://incidentdatabase.ai/cite/532",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Removed the Uttarakhand echo because the Annual Report's Uttarakhand section names no translation tool, restated the Manipur figures in the account and echo as “AI-assisted translation” with the tool unnamed, as the report puts it, extended the Jammu & Kashmir quote to the sentence crediting SUVAS, set the Frontiers article's date to its stated publication date of 14 May 2025, reclassified the two Annual Report volumes as reports cited as 2025 publications hosted January 2026, and corrected the deployer because the only SUVAS Cells in the sources are High Court units.",
                "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf; https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf; https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553705/full",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Knowledge Discovery under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the deployer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/Supreme_Court_of_India",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what happened since from the cited sources.",
                "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
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          "source_refs": []
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        "review_state": "record_mapped",
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      },
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        "state": "value_present",
        "value": {
          "kind": "record_fields",
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                "Review by High Court AI-assisted translation committees before upload",
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              ],
              "must_hold": [
                "Digitized English judgments as input",
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                "Hosting portals for the translated texts"
              ],
              "echoes": [
                {
                  "setting": "High Court of Manipur: its AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review; the report calls this “AI-assisted translation” and names no tool (Annual Report 2024–25, Vol. 2, printed p. 211)",
                  "outcome": "recurred",
                  "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf"
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            }
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          "kind": "record_fields",
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              ],
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                "Committees with capacity to verify output in each language",
                "Hosting portals for the translated texts"
              ],
              "echoes": [
                {
                  "setting": "High Court of Manipur: its AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review; the report calls this “AI-assisted translation” and names no tool (Annual Report 2024–25, Vol. 2, printed p. 211)",
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                  "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf"
                }
              ]
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                "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf; https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf; https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553705/full",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Knowledge Discovery under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.",
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              },
              {
                "date": "2026-10-21",
                "change": "Country of the deployer added from the organization's own site or a registry.",
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              },
              {
                "date": "2026-10-21",
                "change": "Added what happened since from the cited sources.",
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                "editor": "AIBD"
              },
              {
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                "editor": "AIBD"
              },
              {
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        },
        "review_state": "record_mapped",
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      },
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        },
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          "kind": "legacy_record",
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          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
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        "state": "value_present",
        "value": {
          "kind": "record_fields",
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                "date": "2025-05-14",
                "written_by": "independent",
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                "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf",
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              },
              {
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            "AIBD-0086-source-0003"
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        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
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        "state": "value_present",
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          "kind": "record_fields",
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                "kind": "peer-reviewed study",
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                "url": "https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553705/full",
                "date": "2025-05-14",
                "written_by": "independent",
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              },
              {
                "kind": "report",
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                "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026011698.pdf",
                "written_by": "deployer",
                "quote": "SUVAS (Supreme Court Vidhik Anuvaad Software) translating over 100,000 judgments into 18 regional languages"
              },
              {
                "kind": "report",
                "citation": "Supreme Court of India (2025). Indian Judiciary: Annual Report 2024-25, Volume 2 (High Courts), High Court of Jammu & Kashmir and Ladakh section, printed p. 135; hosted January 2026.",
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                "url": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf",
                "written_by": "deployer",
                "quote": "The Supreme Court Vidhik Anuvaad Software (SUVAS) is being effectively utilized to translate judgments into local languages like Urdu, enhancing accessibility for a wider audience. To date, 4,426 Supreme Court judgments and 60 High Court judgments have been translated into vernacular (Urdu) language."
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      "sources[].upstream_sources": {
        "state": "not_assessed",
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        "coverage": "partial"
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
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        "value": {
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          "fields": {
            "summary": "SUVAS translated 36,271 Supreme Court judgments into Hindi and 17,142 into 16 languages by 5 August 2024; High Courts report own totals",
            "account": "SUVAS (Supreme Court Vidhik Anuvaad Software) is the Supreme Court of India's AI-assisted tool for translating English judgments into Indian languages. A 2025 peer-reviewed article cites Press Information Bureau figures as on 5 August 2024. By then 36,271 Supreme Court judgments were translated into Hindi and 17,142 into 16 other regional languages. The Supreme Court's Annual Report 2024–25 summarizes a judge's address crediting SUVAS with translating over 100,000 judgments into 18 regional languages. It also records High Court translation work. Jammu & Kashmir and Ladakh, which the report says uses SUVAS, translated 4,426 Supreme Court judgments into Urdu. Manipur's AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review. The report calls this “AI-assisted translation” without naming the tool. These are aggregates. No single translated judgment with a dated delivery was found."
          }
        },
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          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
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      "systems[].deployment_configuration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
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      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
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      },
      "systems[].model_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "SUVAS (Supreme Court Vidhik Anuvaad Software), AI-assisted legal translation with human verification"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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          ],
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        "review_state": "record_mapped",
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        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "Supreme Court of India's SUVAS translation software: 36,271 judgments translated into Hindi and 17,142 into 16 other languages by 5 August 2024",
            "headline": "SUVAS translates 36,271 Supreme Court judgments into Hindi"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
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        },
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        "value": {
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          ],
          "role": "SHA-256 of normalized original case data"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "SUVAS (Supreme Court Vidhik Anuvaad Software) is the Supreme Court of India's AI-assisted tool for translating English judgments into Indian languages. A 2025 peer-reviewed article cites Press Information Bureau figures as on 5 August 2024. By then 36,271 Supreme Court judgments were translated into Hindi and 17,142 into 16 other regional languages. The Supreme Court's Annual Report 2024–25 summarizes a judge's address crediting SUVAS with translating over 100,000 judgments into 18 regional languages. It also records High Court translation work. Jammu & Kashmir and Ladakh, which the report says uses SUVAS, translated 4,426 Supreme Court judgments into Urdu. Manipur's AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review. The report calls this “AI-assisted translation” without naming the tool. These are aggregates. No single translated judgment with a dated delivery was found.",
            "replication": {
              "produced_by": [
                "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"
              ],
              "must_hold": [
                "Digitized English judgments as input",
                "Committees with capacity to verify output in each language",
                "Hosting portals for the translated texts"
              ],
              "echoes": [
                {
                  "setting": "High Court of Manipur: its AI-Assisted Legal Translation Committee translated 433 Supreme Court judgments into Meetei Mayek, 259 uploaded and 174 under review; the report calls this “AI-assisted translation” and names no tool (Annual Report 2024–25, Vol. 2, printed p. 211)",
                  "outcome": "recurred",
                  "source": "https://cdnbbsr.s3waas.gov.in/s3ec0490f1f4972d133619a60c30f3559e/uploads/2026/01/2026010287.pdf"
                }
              ]
            }
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        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
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          ],
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        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 28,
      "reviewed": 0,
      "record_mapped": 28,
      "not_assessed": 63,
      "complete": false,
      "by_state": {
        "value_present": 28,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 63,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}