Research & Innovation

About JuDDGES

Advancing legal research through artificial intelligence and open science

Home institution

Wrocław University of Science and Technology

Wrocław University of Science and Technology (Polish: Politechnika Wrocławska) is a leading technological university in Wrocław, Poland. Founded in 1945, the university is recognized for its research and engineering education. Named by Huffington Post UK in the top 15 of the World's Most Beautiful Universities Rankings, its main campus is located near Plac Grunwaldzki alongside the Oder river.

The university ranks among the best in the world according to the Shanghai Ranking (ARWU 2021: 901-1000 band) and holds 3rd place among Polish technical universities. With over 26,000 students and more than 4,000 academic staff, it operates 14 faculties across engineering, sciences, medicine, and social sciences. This platform is developed by the Department of Artificial Intelligence at WUST, which conducts research in AI, machine learning, natural language processing, and legal informatics, contributing to both academic advancement and real-world applications.


1945FoundedUniversity established
26,000+Student bodyStudents
Top 3National rankingPolish tech universities
14Academic unitsFaculties
Rankings

International Recognition

  • QS World University Rankings: 7 scientific fields classified
  • Material Sciences: Top 301-350 globally
  • Mathematics: Top 201-300 globally (ARWU)
  • Regional Ranking Europe & Central Asia: 43rd place

Platform

JuDDGES Platform

Judicial Decision Data Gathering, Encoding, and Sharing

JuDDGES is a platform for the analysis of legal documents, particularly court judgments and legal decisions. Our goal is to use artificial intelligence to:

  • Automate the analysis of complex legal documents
  • Extract relevant information from court judgments
  • Provide insights into judicial reasoning and case law trends
  • Support legal professionals in their research and analysis
  • Improve accessibility to legal information

Through natural language processing and machine learning techniques, we aim to make legal document analysis more efficient and accessible to both legal professionals and the general public.

Technologies & Methods

Large Language ModelsVector DatabasesInformation ExtractionSemantic SearchRAG (Retrieval-Augmented Generation)Natural Language Processing

Research project

JuDDGES Project

Judicial Decision-making Data Generation and Evaluation System

The JuDDGES project applies Natural Language Processing (NLP) and Human-In-The-Loop (HITL) methods to change how legal researchers access, annotate, and analyze judicial decisions across various jurisdictions. Our team is committed to dissolving barriers in legal research, fostering open science, and enhancing the empirical study of judicial decision-making.

JuDDGES aims to develop open software and tools for the extensive and flexible meta-annotation of legal records from criminal courts in jurisdictions with diverse legal systems, starting with Poland and England & Wales. This initiative is designed to support the development and empirical testing of theories in judicial decision-making, facilitating a deeper understanding of judicial policies and practices.

Key Goals

Equip Researchers
Providing researchers with tools for in-depth analysis of judicial decisions
Foster Open Science
Making software tools and annotated datasets publicly available for research and educational purposes
Enhance Legal Research
Enabling empirical testing of judicial decision-making theories and practices

Jurisdictions Covered

PL PolandE&W England & Wales

Ecosystem

Open Source Ecosystem

JuDDGES is built as a federation of focused open-source tools, not a single monolithic app

This platform is one of several independently maintained projects that together form the JuDDGES research pipeline. The parent research project hosts datasets, NLP pipelines, and HITL experiments. A dedicated annotation workbench, maintained by partner contributors, produces the verified ground-truth annotations that downstream tools — including this platform — consume.

Keeping the projects separate but linked through shared open data formats lets each team iterate on their own cadence while still contributing to a coherent whole.

JuDDGES (research)

Parent research project: datasets, NLP pipelines, model training.

pwr-ai/JuDDGES
HITL Annotation Tool

Middlesex University, London

Upstream human-in-the-loop workbench for verifying LLM extractions.

tsantosh7/hitl-tool
JuDDGES App

This platform — search and structured extraction.

pwr-ai/juddges-app

Impact

Our Impact

Contributing to judgments analysis research and practice


3M+Documents processedLegal documents
50+Research communityResearchers served
5+Academic outputPublications
3Global reachCountries

Contact

Collaborate With Us

Get in touch for research inquiries, collaborations, or technical questions

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