LEGALESE – Danish Language Processing for Legal Texts

LEGALESE is a joint venture by the University of Copenhagen’s Faculty of Law and Department of Computer Science, Schultz, and Ankestyrelsen. The aim of the project is to is to research and develop a product that facilitates efficient legal information retrieval and automated recommendation using cutting-edge natural language processing (NLP).

 

 

 

 

 

 

 

Researchers

Name Title Image
Olsen, Henrik Palmer Associate Dean of Research Billede af Olsen, Henrik Palmer
Schwemer, Sebastian Felix Associate Professor Billede af Schwemer, Sebastian Felix
Tomada, Letizia Research Assistant Billede af Tomada, Letizia

Funding

Innovation Fund Denmark
LEGALESE Danish Language Processing for Legal Texts has received a three year funding from Innovation Fund Denmark, GrandSolutions.

Project: LEGALESE Danish Language Processing for Legal Texts
(Application number: 0175-00011A)

Period: 1 September 2020 – 1 September 2023

Contact

PI Professor
Henrik Palmer Olsen, iCourts

Co-PIs:

Associate professor
Sebastian Felix Schwemer, CIIR (WP2)

Professor
Anders Søgaard, DIKU (WP3 & WP4)

Ove Barthold Løvschall, Schultz (WP 5 & WP6)