Name: Maastricht Law & Tech Lab
Type: Organization
Bio: The Lab aims to offer innovative education and to build a creative community of researchers at the intersections of law, technology and data science.
Twitter: maaslawtech
Location: Maastricht, Netherlands
Blog: https://www.maastrichtuniversity.nl/law-and-tech-lab
Maastricht Law & Tech Lab's Projects
Community health files for the @maastrichtlawtech organization.
This project aims to investigate if features such as the type of issuing organization, the type of funding, the authors' affiliations etc. impact what AI ethical guidelines are written. We will use topic modelling to detect topic on the set of gathered ethical guidelines documents.
A very basic cytoscape based graph ready to be used to experiment.
📖 A curated list of LegalNLP resources from all around the web.
🔍 A statutory article retrieval dataset in French. (ACL 2022)
User interface for the network analysis software platform for analyzing Dutch and European court decisions.
☁️ A network analysis software platform for analyzing Dutch and European court decisions.
Results for a legal ontology coverage study for properties of case law from the Court of Justice of the European Union (CJEU)
NLP pipeline for most legal tasks
Connecting Illegal Vendors on Darknet markets: Responsible Authorship Attribution to Link and Connect online Cybercrimes
Materials for the DS4LAW session on Algorithms
Classify legal cases , and analyze environmental arguments in belgian case law
Python libraries for extracting from data sources like Rechtspraak, ECHR, Cellar
🔗 A graph-augmented dense statute retriever. (EACL 2023)
↔ Drag-and-drop editor for docassemble interviews.
Hacktoberfest 2019 Practice Evening
An Authorship Attribution Dataset for Detecting Human-Trafficking Operations on Escort Advertisements. (EMNLP 2023)
Light client to retrieve data from KOOP API. (string searchs through the whole document)
📚 Materials for Legal Analytics (LAW3025) @ Maastricht University
📚 Materials for Advanced Legal Analytics (LAW3027) @ Maastricht University.
Centrality Scores and Precedent Value in Legal Network Analysis