NLawP: Natural Language Processing and Legal Tech2024-05-07T13:13:17+02:00

NLawP: Natural Language Processing and Legal Tech

AI language technologies have a hugely disruptive potential that could provide possibilities for advances in areas that these technologies have not yet permeated. The legal sector is an excellent example in this regard. Recent advances such as new transformers like BERT and GPT3 offer ample prospects for innovation. However, neither the requirements for adoption nor the ethical, legal and social implications are sufficiently explored. The project NLawP evaluates how AI technologies can disruptively impact the legal sector. It will map current developments in research and the legal tech market, inquire into how data governance can enable a responsible and efficient adoption, and bring stakeholders together to produce new ideas and innovations. This project will map state-of-the-art applications and current information about their implications concerning responsible AI. A multi-perspective methodology will allow research into this emerging field of AI with a view to innovation, adoption, responsible uses, and infrastructures. The project will also look into the following steps concerning a sustainable data infrastructure for the legal sector and potential stakeholders’ innovations and imaginaries.

Research Output:

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective

News & Updates

Principle Investigators

Christian Djeffal
Christian DjeffalTUM School of Social Sciences and Technology
Florian Matthes
Florian MatthesTUM School of Computation, Information and Technology

Researchers

David RebholTUM School of Social Sciences and Technology
Stephen MeisenbacherTUM School of Computation, Information and Technology
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