OASys

Judiciary United Kingdom of Great Britain and Northern Ireland Resource Centre Cyberjustice and AI by CEPEJ

OASys is a risk-needs assessment tool used by the UK’s Prison and Probation Services for parole and sentencing decisions. It evaluates offenders' risks and rehabilitation needs to reduce recidivism, guiding interventions. The system provides a structured way to assess factors like criminal history, substance misuse, and mental health, supporting more informed decision-making.

Case Outcome Prediction Decision Support Systems

OxRec (Oxford Risk of Recidivism Tool)

Judiciary Sweden Resource Centre Cyberjustice and AI by CEPEJ

OxRec is a web-based tool designed to assess the risk of violent recidivism in released prisoners and probationers. It uses data from criminal history, sociodemographic, and clinical factors to generate risk categories and probability scores for reoffending within 1 to 2 years. The model was derived from a large cohort of prisoners and has been validated internationally. OxRec assists criminal justice professionals by providing evidence-based predictions that support decision-making in parole and sentencing.

Case Outcome Prediction Decision Support Systems

Prometea

Judiciary Argentina Global Toolkit on AI and the Rule of Law for the Judiciary

Prometea, developed by the University and the Public Prosecutor's Office of Buenos Aires, aims to predict court case outcomes and prioritize urgent cases within large file volumes. Its primary objective is to automate bureaucratic processes, allowing legal professionals to focus more on complex cases while reducing time spent on routine tasks.

Case Outcome Prediction Decision Support Systems Operational Efficiency and Case Management

Realta Logic

Judiciary United States of America Global Toolkit on AI and the Rule of Law for the Judiciary

Realta Logic provides real-time compliance solutions that assist legal teams in navigating complex regulatory landscapes efficiently. The platform offers live compliance guidance, enabling teams to identify applicable regulations and assess product compliance during the design phase, thereby accelerating time-to-market. It features real-time incident monitoring with customizable risk profiles, allowing immediate detection and response to compliance breaches. With full traceability of decisions through an interconnected knowledge graph, legal teams gain transparency into regulatory obligations.

Access to Justice and Legal Aid Decision Support Systems Operational Efficiency and Case Management

Recidivism Assessment Scales (Recidive Inschattings Schalen / RISc)

Judiciary Netherlands Resource Centre Cyberjustice and AI by CEPEJ

Recidivism Assessment Scales (Recidive Inschattings Schalen / RISc) is a statistical tool designed for risk and needs assessment in parole and sentencing decisions. It is commonly applied in cases where individuals are placed under preventive arrest, particularly for high-severity crimes. The tool evaluates the likelihood of reoffending by examining various risk factors such as criminal history, behavior patterns, and situational context. RISc helps inform decisions by providing a structured approach to assessing an offender's potential for recidivism.

Case Outcome Prediction Decision Support Systems

RisCanvi

Judiciary Spain Resource Centre Cyberjustice and AI by CEPEJ

RisCanvi is a risk assessment tool developed by Catalan prison services in collaboration with the University of Barcelona. It evaluates the potential risk outcomes for inmates, helping decide whether they can be granted prison furlough, moved to another facility, or considered for parole. The tool specifically analyzes factors such as violent recidivism, self-harm, inmate violence, furlough violations, and general recidivism. This assessment supports informed decisions on inmate management and safety in the prison system.

Case Outcome Prediction Decision Support Systems

RITA (Finnish Risk and Needs Assessment Form)

Judiciary Finland Resource Centre Cyberjustice and AI by CEPEJ

RITA (Finnish Risk and Needs Assessment Form) is a semi-structured interview used to assess the risks and rehabilitation needs of offenders. It supports parole and sentencing decisions by evaluating factors such as criminal history, substance abuse, and social circumstances. The tool provides a comprehensive understanding of an individual's rehabilitation potential, while allowing the interviewer discretion in interpreting the results.

Case Outcome Prediction Decision Support Systems

SIGMA

Judiciary Brazil Resource Centre Cyberjustice and AI by CEPEJ

SIGMA is an AI-powered system designed to assist judges and clerks in drafting reports, decisions, and judgments within Brazil’s TRF3 Electronic Judicial Process (PJe) system. It analyzes stored legal texts and procedural documents, identifying relevant patterns and suggesting pre-existing decision models for similar cases. By automating part of the drafting process, SIGMA helps improve consistency in judicial decisions while accelerating case processing. The system ultimately enhances productivity by reducing repetitive tasks and minimizing the risk of conflicting rulings.

Decision Support Systems Legal Research and Information Retrieval Operational Efficiency and Case Management

Split-Up

Judiciary Australia Global Toolkit on AI and the Rule of Law for the Judiciary

Split Up is an intelligent decision support system developed to assist Australian family court judges in determining the distribution of marital property during divorce proceedings. It combines rule-based reasoning with neural network theory to predict equitable property divisions based on factors such as financial and non-financial contributions, marriage length, and future needs of the parties involved. By analyzing these variables, Split Up aids judges in making informed decisions that align with legal standards and individual circumstances.

Decision Support Systems

Victor

Judiciary Brazil Resource Centre Cyberjustice and AI by CEPEJ

The Victor AI system, developed by the Brazilian Supreme Court (STF) in collaboration with the University of Brasilia, automates the analysis of appeals. It processes a large volume of cases and identifies whether they meet the "general repercussion" requirement, which is crucial for further processing before the STF. Victor supports the analysis of admissibility for extraordinary appeals by suggesting relevant themes, which are then validated by court officials. It performs this analysis in approximately five seconds, significantly enhancing operational efficiency.

Decision Support Systems Operational Efficiency and Case Management

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