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!

We are happy to announce that our survey about document automation tools for the legal domain has been published.

The survey evaluates 13 document automation tools in accordance with requirements, which were identified with respect to the legal domain.

Please find the result of our survey here.

We would like to sincerely thank the 13 vendors who participated in our study and granted us access to their tools for conducting the study.

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/.

On Thursday, January 24th, 2019, at 6:00 pm, the Seitz Weckbach Fackler & Partner law firm hosted an event organized by the Augsburg Law Society on Smart Contracts and Blockchain - a Huge hype or an actual disruptive technology? At the lecture evening, Prof Dr. Hans Grigoleit and Prof. Dr. Florian Matthes gave a talk on the diverse technical and legal implications of smart contracts and blockchain from the perspective of computer science on the one hand, and the lawyers perspective on the other.

The presentation slides of Prof. Dr. Florian Matthes talk are available here for download.

Two papers of SEBIS were nominated for the LexisNexis Best Paper Award at IRIS 2018.

The first paper is about Named Entity Recognition, Extraction, and Linking in German Legal Documents and was written by Ingo Glaser, Benrhard Waltl and Florian Matthes. Please look here for furhter information about this paper.

The second paper from Daniel Braun, Elena Scepankova, Patrick Holl, and Florian Matthes is titled Customer-Centered LegalTech: Automated Analysis of Standard Form Contracts.