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

Quispe Chequea by Ojo Publico

Media Peru JournalismAI

Quispe Chequea verifies content in Spanish and Peruvian indigenous languages like Quechua, Aymara, and Awajún. It converts fact-checked information into audio for radio dissemination across nine regions. The platform leverages large language models for analysis and Tacotron 2 for voice synthesis, allowing indigenous interpreters to create voices that deliver credible news in local languages. It's used by trained regional broadcasters to ensure factual communication for Andean and Amazonian communities.

Newsgathering and Fact-Checking

Qwen2-VL

Media China Hugging Face: The Essential AI Toolkit for Journalists and Content Creators

Qwen2-VL is a multimodal AI model that processes both text and images to generate responses. It can analyze visual inputs, interpret text within images, and provide detailed descriptions or answers based on the combined context of text and visuals.

Newsgathering and Fact-Checking

Qwen2.5-Coder-Artifacts

Media China Hugging Face: The Essential AI Toolkit for Journalists and Content Creators

The Qwen2.5-Coder-Artifacts on Hugging Face is a repository that includes pre-trained models and artifacts designed for coding tasks. These models are optimized to assist with generating code, debugging, or improving programming workflows by leveraging large-scale language models. It provides tools and models for developers to integrate into their applications, enhancing their code-writing and problem-solving capabilities in a seamless manner.

Production

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

Remesh AI

Public sector United States of America IRCAI Global Top 100

Remesh AI is a platform that facilitates real-time audience engagement, allowing participants to interact with and vote on each other’s responses to gather insights.

Service Provision and Delivery

Remp2030

Media Slovakia The next wave of disruption: Emerging market media use of artificial intelligence and machine learning

REMP is an open-source platform designed to help publishers manage and increase revenue through subscriptions, marketing automation, and audience analytics. It offers tools like CRM, A/B testing, email marketing, and behavior-driven marketing for content personalization. With integrations like Pythia machine learning, it also helps publishers predict customer behavior and maximize monetization.

Distribution and Audience Engagement

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

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