AI system
- System
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Victor (STF–UnB artificial-intelligence project: OCR, document splitter, document classifier, repercussão geral theme classifier)
- Model
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Not assessed
- Release
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Not assessed
- Application developer
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Supremo Tribunal Federal (STF) with the Universidade de Brasília (UnB) - Role
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Not assessed
- Configuration
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Not assessed
- Inputs and outputs
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Not assessed
- Autonomy
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Not assessed
- Workflow
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STF–UnB research partnership with about 40 graduate scholarship holders. Building a training set of extraordinary appeals, which took months. Automatic OCR of all incoming appeal PDFs on the day of receipt (from December 2020). Validation of any theme indication by the ministers.
- Human oversight
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Not assessed
- Relation to AI
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By the STF's own account of 19 August 2021, the AI classifier that would flag repercussão geral themes was not in production. The only live component was automatic OCR of incoming appeals, which the STF frames as part of the Victor project. Any theme indication is validated by the ministers. The time savings announced in 2018 (three hours or 40 minutes to five seconds) were forecasts made by chief justices at launch. All cited sources are the deployer's news service (STF) and the CNJ, which the same chief justice presided. No independent evaluation was found.
- AI contribution
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By the STF's own account of 19 August 2021, the AI classifier that would flag repercussão geral themes was not in production. The only live component was automatic OCR of incoming appeals, which the STF frames as part of the Victor project. Any theme indication is validated by the ministers. The time savings announced in 2018 (three hours or 40 minutes to five seconds) were forecasts made by chief justices at launch. All cited sources are the deployer's news service (STF) and the CNJ, which the same chief justice presided. No independent evaluation was found.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
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more than 10 million pages processed by May 2021
- Category
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Repetitive Task Automation
- Status
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Not assessed
- Beneficiary groups
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People. Organizations. Society.
- Beneficiaries
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Not assessed
- Reach
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Not assessed
- Distribution and access
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Not assessed
- Duration
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Not assessed
- Expected?
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Yes
- Costs and harms
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Not assessed
Measurement
- Studies
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Not assessed
- Study design
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Not assessed
- Measurement
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Not assessed
- Setting and sample
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Not assessed
- Measures
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more than 10 million pages processed by May 2021
- Comparison
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Assumed alternative: a court clerk converting image files to text by hand
- Results
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Assumed comparison. Reference: três horas. Result: cinco segundos.
- Additional value from AI
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Not assessed
- Limitations
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Not assessed
- Denominators
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Not assessed
- Materials for replication
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Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
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Not assessed
- Recipients and payers
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Not assessed
- Gross or net
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Not assessed
- Included costs
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Not assessed
- Comparison
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Not assessed
- Method
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Not assessed
- Return and payback
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Not assessed
People and places
- Participants
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Developer:
Supremo Tribunal Federal (STF) with the Universidade de Brasília (UnB). Operator:
Supremo Tribunal Federal (STF), Secretaria de Gestão de Precedentes. - Jurisdictions
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Benefit: Brasília,
Brazil. Developer:
Brazil. Operator:
Brazil. - Ownership and control
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Not assessed
- Dependencies
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Not assessed
- Cross-border connections
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Not assessed
- Geopolitical implications
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Not assessed
Follow-up
- Conditions for replication
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Filings arriving as PDFs that can be converted to text. Splitter and classifier reaching production (not achieved by August 2021). Classifier accuracy acceptable to the Secretaria de Gestão de Precedentes. Continued STF–UnB funding and staff.
- Replication attempts
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1 follow-up entries. Outcome unresolved: 1.
- Later findings
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11 May 2023. In May 2023 the STF said it still operated Victor for repercussão geral triage of incoming appeals, alongside Rafa, while finishing tests of the new VitórIA tool.
- Availability
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Not assessed
- Institutional decision
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Not assessed
- Grounds
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Not assessed
- Action and result
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Not assessed
- Success criterion
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Not assessed
Evidence
- Source numbers
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AIBD-0333-source-0001–0005
- Citations
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Numbered references below.
- Language
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Not assessed
- Source relationships
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Developer, Independent
- Original evidence
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Not assessed
- Access and versions
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Not assessed
- Supported findings
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Not assessed
- Evidence links
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Not assessed
- Evidence strength
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Not assessed
- Missing evidence
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Not assessed
Grades
- Assessed benefits
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People. Organizations. Society.
- Depth
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Not assessed
- Reasons
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People: No litigant outcome is documented. Organizations: OCR of 10 million pages is a throughput figure, not a measured saving, and the classifier was not in production. Society: No effect on case backlog or litigants is documented.
- Observed or intended
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Not assessed
- Rubric
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Not assessed
- Assessor and date
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Not assessed
- Alternative assessments
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Not assessed
- Fill
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Independently studied
Entry details
- Kind
-
Not assessed
- Related entries
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Not assessed
- Field
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Justice administration: appellate case triage. Supreme court case management.
- Purpose
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Speed up admissibility analysis of extraordinary appeals by flagging the repercussão geral theme that applies. The production OCR layer is a precondition for that, not the classification itself.
- Dates
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Date basis unassessed: 2021 (precision unassessed). Updated: 21 October 2026.
- Stage
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Not assessed
- Version
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SHA-256: 4d5f8f71116f…
References
- Other identifiers
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Not assessed
- Category mappings
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Not assessed
- Brief
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Not assessed
- Revisions
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5 revisions. Latest: 21 October 2026.
Sources
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Report Independent author
Montenegro, M. C. (2018). Inteligência artificial: Trabalho judicial de 40 minutos pode ser feito em 5 segundos. Agência CNJ de Notícias, 23 Oct 2018.
O trabalho que custaria ao servidor de um tribunal entre 40 minutos e uma hora para fazer, o software faz em cinco segundos.
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Press release Developer
Supremo Tribunal Federal (2021). Projeto Victor avança em pesquisa e desenvolvimento para identificação dos temas de repercussão geral. STF Notícias, 19 Aug 2021.
No momento, o STF trabalha para implementar em produção o spliter e o classificador de peças, ainda sem data definida.
Até maio de 2021, este procedimento ocorreu em mais de 10 milhões de páginas.
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Press release Developer
Supremo Tribunal Federal (2018). Ministra Cármen Lúcia anuncia início de funcionamento do Projeto Victor, de inteligência artificial. STF Notícias, 30 Aug 2018.
Ela informou que atualmente o nível de precisão na triagem é de 84%, mas que atingirá 95% no próximo mês.
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Press release Developer
Supremo Tribunal Federal (2023). STF finaliza testes de nova ferramenta de Inteligência Artificial. STF news, 11 May 2023.