Software, Datasets & Code
Welcome to the Maastricht Law and Tech Lab's resource repository! Here at the Lab, we are committed to the principles of open science and believe in providing free and transparent access to the software, datasets, and code developed as part of our research. These resources aim to foster collaboration, enhance transparency, and drive innovation at the intersection of law and technology.
Software from the Lab
Case Law Explorer
Case Law Explorer is a software application that allows non-technical users to conduct network analysis to find landmark cases.

Lawnotation
Lawnotation is an open-source software platform that allows for the labeling of legal documents, calculating the agreement levels between multiple annotators, the preprocessing of documents, and the sharing of data and materials with other users.

TrackerControl
TrackerControl is an open-source Android privacy app that allows to study and block tracking of app use by tech companies such as Google and Facebook. To detect tracking, TrackerControl combines the power of the Disconnect blocklist, used by Firefox, and of our in-house blocklist, created from analysing ~2k apps!

GraphDoc
GraphDoc is a free, open source, and user-friendly graphical interface that allows building decision trees without any installation. The output can be pasted or loaded into Docassemble, a free and open-source expert system for guided interviews. The codebase can be found here.

Data from the Lab
Case Law Extractors
Easy-to-use Python libraries for downloading metadata and full-text of case law of the Court of Justice of the European Union (CJEU), the European Court of Human Rights (ECtHR), and the Netherlands.

Cancel Culture Data Set
A first Cancel Culture Corpus data set with over 2.3 million tweets and a framework to enlarge it further. A detailed analysis of the data set is provided, and a set of features proposed, based on various models including sentiment analysis and emotion detection that can help characterize cancel culture.

BSARD
The Belgian Statutory Article Retrieval Dataset (BSARD) consists of 1,100+ French native legal questions annotated by experienced jurists with relevant legislation from a corpus of 22,600+ Belgian law articles.

LLeQA
The Long-form Legal Question Answering (LLeQA) dataset consists of 1,850+ French native legal questions annotated by experienced jurists with comprehensive answers rooted in relevant legislation from a corpus of 27,900+ Belgian law articles.

IDTraffickers
An extensive dataset consisting of 87,595 text ads and 5,244 vendor labels to verify and identify potential HT vendors on online escort markets.

Code from the Lab
Find our code for the Lab's projects on our GitHub page. Feel free to explore and use our code to advance your own projects and ideas
More Open-Source Resources
Z-inspection®
The Maastricht Law & Tech Lab is affiliated with the Z-inspection® initiative.
Z-Inspection® is a holistic process for evaluating the trustworthiness of AI-based technologies at different stages of the AI lifecycle. In particular, it focuses on identifying and discussing ethical issues and tensions through the development of socio-technical scenarios.
The process has been published in the IEEE Transactions on Technology and Society. Z-Inspection® is distributed under the terms of the Creative Commons License (Attribution-NonCommercial-ShareAlike CC BY-NC-SA). Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics.
For more information contact Dr. Konrad Kollnig.
