Institutional file
Judicial Branch
Institutional register
01 / 16
- Type
- Judicial Branch
- AI projects
- 9
- classified in the catalog
- Latest verification cut
- Institutional source
- Official website
- verified adoptions
- 3
- under review
- 2
- ecosystem records
- 4
Counts are derived from the current catalog records, not from a figure declared by the institution.
Executive summary
The catalog confirms the Filing Classifier as an operational system across the entire debt collection jurisdiction, a machine-learning budget model and the use of Nymiz. ChatbotPJ and the CONAMAJ chat remain under review. OIJ–TEC research, rulings analysis, Continuous Disbursement and the First Chamber induction are retained as context without counting them as adopted AI systems.
AI projects (9)
All initiatives associated with this institution, ordered by evidence layer and verification cut.
Verified adoptionOperational
Verified:
Filing Classifier
Judicial Branch AI system that uses machine learning and optical character recognition to read and automatically classify filings submitted to specialized debt collection courts. The institution documents its deployment across the entire debt collection jurisdiction.
- Initiative type
- AI system
- First evidence
Verified adoptionOperational
Verified:
Anonymization with Nymiz
Artificial-intelligence tool implemented by the Judicial Branch to depersonalize rulings and protect sensitive data. The institution identifies Nymiz as the platform used and documents its application in the process.
- Initiative type
- AI component
- Operational start
Verified adoptionOperational
Verified:
ML model for budget execution forecasting
Machine-learning model used by the Judicial Branch to predict budget execution from its historical behavior. The institution’s 2019 accountability report documents its use and associated savings.
- Initiative type
- AI system
- Operational start
Initiatives under reviewOperational
Verified:
ChatbotPJ: citizen virtual assistant
Judicial Branch virtual assistant for frequently asked questions about procedures and services. Its operation and usage volume are documented, but public sources do not identify the technique used.
- Initiative type
- AI system
- Operational start
Initiatives under reviewProof of concept
Verified:
CONAMAJ AI chat for judicial facilitators
Language-model chat presented by CONAMAJ to support judicial facilitators with queries and legal guidance. The source confirms its existence and demonstration, but not an operational deployment with measured users.
- Initiative type
- AI system
- Announcement
Ecosystem and capabilitiesIn development
Verified:
OIJ–TEC AI research for criminal analysis
Active research and development project between OIJ and the Costa Rica Institute of Technology to create image-recognition, automatic case-categorization and location-based incident-prediction systems using machine learning and deep learning.
- Initiative type
- Research
- First evidence
Ecosystem and capabilitiesOperational
Verified:
AI analysis of Constitutional Chamber rulings
Research project by UCR’s Legal Research Institute and the State of the Nation Program. Since 2020 it has developed a standardized database, thematic classification and automated analysis of Constitutional Chamber rulings for academic research.
- Initiative type
- Research
- First evidence
Ecosystem and capabilitiesOperational
Verified:
Continuous Disbursement System
Judicial Branch system that automates lower-value judicial deposit disbursements. The institutional source confirms its operation and results but does not identify an artificial-intelligence technique.
- Initiative type
- Digitization without confirmed AI
- Operational start
Ecosystem and capabilitiesIn development
Verified:
First Chamber induction on the use of AI to support decision-making
The First Chamber of the Supreme Court states that it is in an induction process on the use of prompts so that artificial intelligence tools can support decision-making with greater speed and certainty, drawing on international experience. This is a preparation and training stage: no system, vendor or deployment has been announced.
- Initiative type
- Capacity-building program
- First evidence
Evidence reading
Portfolio breadth is not the same as the number of operational AI systems. Separating automation, research, training and confirmed systems prevents AI or results from being attributed to initiatives that the sources do not connect.