About WetSuite

WetSuite is a web-portal and a collection of tools and resources to accelerate the application of Natural Language Processing (NLP) methods to Dutch and EU governmental legal data. The target audience of WetSuite is both researchers in law with little technical background, and researchers in NLP with little legal background. We aim to empower individual researchers, facilitate interdisciplinary collaborations, and serve as a stepping stone for legal scholars and students interested in NLP.

Resources

With our decision tree as an accessible point of entry, WetSuite aims to provide the information scholars need to get started with NLP-based research methods with Dutch or EU governmental data. From finding, gathering and creating a dataset, selecting evaluation methods and executing your experiments; WetSuite aims to be a good start for each step in your empirical research.

Tools

Besides data preprocessing and conversion, WetSuite offers an interface to powerful NLP libraries, attuned to the different data types. Common NLP methods are made available as web services in the browser, with no installation or programming required. The underlying WetSuite Python library is open source and easily extensible for users with technical know-how. Check out our GitHub page to learn more!

Get in touch!

Are you interested in applying NLP techniques in research to legal or government data? Do not hesitate to get in touch: a.c.m.meuwese@law.leidenuniv.nl.

Made possible by

WetSuite is made possible by funding from PDI-SSH, awarded to a proposal by Anne Meuwese (PI), Matthijs Westera, and Alex Ingrams from Leiden University, Johan Wolswinkel from Tilburg University, and Gijs van Dijck from Maastricht University.

Last updated: 28-Feb-2025