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

Salme

Judiciary Estonia Resource Centre Cyberjustice and AI by CEPEJ

Salme is a speech recognition tool used by Estonian courts to transcribe audio into text with high accuracy. It supports real-time transcription during hearings and can work offline, reducing clerks' workload. Integrated into Estonia's X-Road system, it ensures secure handling of sensitive data while automating part of the documentation process.

Operational Efficiency and Case Management

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

SnehAI

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

SnehAI is an AI-powered chatbot designed to support young people in India by providing a secure and non-judgmental space to discuss topics related to sexual and reproductive health and digital safety. Hosted on Facebook Messenger, it offers personalized advice and information, ensuring privacy and accessibility. The chatbot aims to empower youth to make informed decisions about their health and online behavior.

Access to Justice and Legal Aid Operational Efficiency and Case Management

Software to combat child pornography

Judiciary Germany Resource Centre Cyberjustice and AI by CEPEJ

The State Criminal Police Office of Lower Saxony (Landeskriminalamt Niedersachsen) developed AI-based software to efficiently analyze large data volumes from investigative activities for child pornography material. The system helps police quickly identify and filter out irrelevant images, reducing manual review time. Initially used in Niedersachsen, it is now being rolled out nationwide as part of the "Police 2020" program, enhancing the effectiveness of child pornography investigations across Germany. Positive feedback confirms that the software accelerates proceedings and aids in the faster identification of offenders.

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

Tesauro: Legal ontology tool

Judiciary Colombia Sistemas de decisión automatizada en el sector público colombiano

Tesauro is a legal ontology tool developed by the Superintendencia de Sociedades of Colombia, designed to optimize the legal decision-making process. It uses AI and machine learning to analyze, index, and organize legal documents such as judgments and legal concepts, allowing for efficient search and retrieval of relevant information. The tool also offers a feature for transcribing court hearings, generating metadata, and providing drafts of new rulings based on historical data. Additionally, it helps citizens access over 200 classified legal topics, supporting better-informed decisions in business and economic matters.

Resource Planning

Unified State Register of Court Decisions

Judiciary Ukraine Resource Centre Cyberjustice and AI by CEPEJ

The Unified State Register of Court Decisions in Ukraine offers public, web-based access to all court rulings. An automated anonymization process has been in place since 2018, ensuring that personal data and sensitive information are protected in compliance with legal requirements. This tool streamlines the accessibility of court decisions while safeguarding privacy. It is supervised to maintain the integrity and legality of the anonymization process.

Legal Research and Information Retrieval

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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