Public
sector
Media
Judiciary

Predictive Justice (Giustizia Predittiva)

Judiciary Country or Region Italy
Sourced From
Resource Centre Cyberjustice and AI by CEPEJ Council of Europe. Resource Centre on Cyberjustice and AI. European Commission for the Efficiency of Justice (CEPEJ), n.d., Available at https://www.coe.int/en/web/cepej/resource-centre-on-cyberjustice-and-ai. (Accessed March 2025).
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

Predictive Analytics: AI tools predict the outcomes of cases by analyzing historical data and patterns in judicial decisions, aiding in strategic decision-making for both legal professionals and judges.

Legal Research and Information Retrieval

AI-Powered Legal Research Tools: These tools assist in quickly retrieving relevant legal information, case law, and statutes, making legal research more efficient and comprehensive. Document Analysis: AI systems analyze legal documents to extract pertinent information, helping legal professionals understand complex texts and precedents.

#analyze Analyze case law data to identify similarities and patterns between different judicial decisions. The system organizes and categorizes cases to offer the most pertinent suggestions.
#predict Leverage past case decisions to predict the most relevant precedents based on the user's legal query. This functionality streamlines the legal research process by identifying patterns in previous judgments.
Developed by
Academia
Deployment Type
Web Platform
Community Moderation
Does not require community manager
Difficulty Level
Does not require developer
License
Proprietary
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The designations used and the presentation of materials throughout this repository do not imply the expression of any opinion on the part of UNESCO and IRCAI concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The ideas, opinions, and content presented in this repository are those of the authors; they do not necessarily represent the views of UNESCO and IRCAI and do not commit the Organizations.