LexIQ

Judiciary Netherlands Resource Centre Cyberjustice and AI by CEPEJ

LexIQ has developed a Case Law Engine for the Dutch Public Prosecution Service to assist prosecutors and legal researchers in working with criminal cases. The tool applies machine learning, data visualization, and advanced search functionalities to organize and analyze large volumes of legal information. It is designed to improve efficiency by reducing the time spent on legal research while providing insights into potential court outcomes. Additionally, it helps users identify relevant but previously overlooked details, supporting a more comprehensive understanding of cases.

Case Outcome Prediction Legal Research and Information Retrieval

Neota Logic

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

Neota is a no-code automation platform that helps legal teams automate processes, knowledge, and document generation, improving efficiency. It allows legal professionals to create self-service tools that ensure consistent, accurate legal advice while reducing risks and compliance issues. The platform also provides data analytics to optimize workflows and improve overall legal operations.

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

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

Predictice

Judiciary France Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

Predictice is an AI-driven platform that helps legal professionals in France predict case outcomes, analyze legal precedents, and optimize litigation strategies. By utilizing machine learning and text analysis, it provides insights into judicial trends based on a comprehensive database of French case law. The platform aids in understanding statistical probabilities, making it easier for law firms, in-house counsel, and insurance companies to make informed decisions. It is particularly effective in areas like labor and family law.

Case Outcome Prediction Legal Research and Information Retrieval Operational Efficiency and Case Management

Predictive Justice (Giustizia Predittiva)

Judiciary Italy Resource Centre Cyberjustice and AI by CEPEJ

The Predictive Justice (Giustizia Predittiva) system of the Court of Appeal of Brescia is a platform that presents judicial decisions from the Brescia Court of Appeal and Ordinary Court, focusing on two legal fields: labor and business law. By following a guided approach, users can identify the most relevant cases based on similarity to their legal issue. Predictive justice is used to enhance legal research by suggesting relevant precedents, offering users efficient access to judicial decisions to aid their case resolution.

Case Outcome Prediction Legal Research and Information Retrieval

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

Random Allocation of Judges System (System Losowego Przydziału Sędziów / SLPS)

Judiciary Poland Resource Centre Cyberjustice and AI by CEPEJ

The Random Allocation of Judges System (System Losowego Przydziału Sędziów / SLPS) of the Polish Ministry of Justice is an automated web platform that ensures fair distribution of cases among judges. It guarantees impartiality by removing any possibility of human interference in the assignment process. The system accounts for various factors, such as the judge's specialization, role (e.g., department chair), and workload, including the ability to withhold cases from judges handling exceptionally complex cases. This system ensures that judges have a balanced and equitable workload while maintaining specialized expertise.

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

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