Mar 4, 2020
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.
Oct 15, 2018
The team of Florian Matthes, consisting of Ingo Glaser, and Elena Scepankova, has published their recent results on Classifying Semantic Types of Legal Sentences: Portability of Machine Learning Models at the 31st international conference on legal knowledge and information systems (Jurix). The paper is going to be presented at the conference from 12-14 December 2018, Netherlands, Groningen.
More details can be found here.
Feb 25, 2018
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.
Feb 22, 2017