Sebis Research News

The Legal AI Use Case Radar was released on July 12 by the sebis chair, backed by a team of Florian Matthes and his research associates Stephen Meisenbacher, Nektarios Machner, and Juraj Vladika.

Following a year and half of research, the team has compiled the findings of their work into this online resource, along with a companion report, titled the Legal AI Use Case Radar 2024 Report. Together, these resources aim to provide clarity on the current state of the Legal AI landscape, with the primary goal on answering: what are the use cases for which Legal AI is being employed?

Focusing our study on the German-speaking region, the course of our study involved over 50 interviews with legal practitioners and Legal AI solution providers, as well as an in-depth literature of underlying NLP technologies for Legal AI. An online survey was also conducted to validate the findings, specifically the collection of use cases for Legal AI.

The team invites you to explore the Legal AI Use Radar website, where you can find the radar itself, a comprehensive wiki-style use case repository, and dedicated experience reports outlining interview findings in an objective manner.

The radar can be accessed at https://legal-ai-radar.deand the companion report can be found either on the website or via TUM's online digital library: https://mediatum.ub.tum.de/1748412 

We hope you enjoy learning about the (many) use cases of Legal AI!

The sebis chair has been researching the utilization of artificial intelligence in order to improve legal research for several years. As a part of this effort, a joint research project with the Haufe Group has been established. In particular the semantic text matching problem as well as semantic search technologies were explored. More information about this research is also available here. Most recently, our industry partner was able to successfully transfer the gained knowledge and technologies into its own business. 

As a reuslt, Haufe Group published an interesting article about our project and findings. The article is available at https://www.buchreport.de/news/mit-kuenstlicher-intelligenz-zum-besseren-suchergebnis/.