The Berkman Klein Center for Internet & Society at Harvard University is now accepting fellowship applications for the 2019-2020 academic year through our annual open call. This opportunity is for those who wish to spend 2019-2020 in residence in Cambridge, MA as part of the Center's vibrant community of research and practice, and who seek to engage in collaborative, cross-disciplinary, and cross-sectoral exploration of some of the Internet's most important and compelling issues.

Dear Colleagues,
We cordially invite you to participate in the Legal Information Extraction and Entailment Competition (COLIEE-2018), derived from the Case Law Competition and Statute Law Competition. The registration deadline is June 30th, 2018.

Please see details below or on the website
http://www.ualberta.ca/~miyoung2/COLIEE2018/. We look forward to your participation for COLIEE-2018.

Institute of Computer Science of the Polish Academy of Sciences, 15 Sept 2018
https://sites.google.com/site/argdiapen/met-arg/met-arg-2018

The 2nd MET-ARG workshop, devoted to Argumentation & Evidence, aims to provide a space for exchange of methodological ideas concerning the research on argumentation related to evidence and proof. The workshop is chaired by Michał Araszkiewicz, Jagiellonian University, Cracow, Poland and Tomasz Żurek, Marie Curie Skłodowska University, Lublin, Poland.

Invited speaker: Thomas F. Gordon.

MET-ARG will publish post-proceedings in Journal of Applied Logics - IfCoLoG Journal of Logics and their Applications.

The special issue of the Artificial Intelligence and Law journal on Legal Text Analytics (Vol 26 Issue 2, June 2018) is now available online on the Springer website, https://link.springer.com/journal/10506/26/2/page/1. The papers in this issue exemplify recent developments in the use of language technology, machine learning, and data science to provide new insights into legal problem solving and analysis of legal texts. Topics include automated patent landscaping, the geometry and semantics of networks of authoritative legal texts, and legal text segmentation and classification.