Research project title
Legal NLP
Education level
Doctorate
Director/co-director
Director: Amal Zouaq
End of display
December 31, 2026
Areas of expertise
Secondary sphere(s) of excellence in research
Modeling and Artificial Intelligence
Unit(s) and department(s)
Department of Computer Engineering and Software Engineering
Conditions
Strong motivation – Excellent academic record – Experience in NLP and research - Publication record
Detailed description
Trustworthy Legal Language Models for Case Law Analysis and Validation
This PhD project focuses on developing trustworthy natural language processing (NLP) methods for legal texts, with an emphasis on case law analysis, citation validation, and judicial treatment assessment. The research will explore how large language models can be adapted to reliably extract, verify, and reason over legal sources while minimizing errors and misinterpretations. By combining legal domain knowledge with modern NLP techniques, the project aims to improve the accuracy, transparency, and reliability of AI-assisted legal research tools.
Financing possibility
MITACs
