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1st Munich Legal Tech Summer School (03.08. - 07.08.2020)

 

© Andreas Heddergott / TU Muenchen

Facts

  • Interdisciplinary Legal Tech summer school for PhD students and early carreer Postdocs from Computer Science, Law, and adjacent disciplines
  • Munich, Germany; 3rd to 7th of August 2020
  • Application deadline: 26th of April 2020

 

Mission - Location - Program - Session Formats - Speakers - Application and Costs

 

Mission

The digital revolution has democratised many aspects of our lives. Access to knowledge is no longer restricted to those who can afford 32 volumes of Encyclopædia Britannica or have access to university libraries, instead it is available to everyone with access to the internet. The access to the fine arts, but also to once expensive services like translation, was opened up to new classes of citizens by digitisation. For a long time, the legal domain was arguably one of the biggest resistance to digitisation efforts and in some aspects still struggles to catch up with other industries.

However, things are changing, not least because of a new generation of young researchers and professionals in both, law and computer science. The mission of the 1st Munich LegalTech Summer School is to bring together excellent junior researchers from both disciplines to foster an interdisciplinary exchange. With talks from world-class experts, collaborative practical lab sessions, and discussion sessions, we want to educate the next generation of LegalTech researchers. Thereby, we want to examine the different sub areas of the research, from a legal, as well as from a computer science point of view, with talks including the topics Natural Legal Language Processing, Court Case Outcome Prediction, Legal Data Science, and Legal Reasoning.

The focus of the summer school will be on empirical research. Therefore, an important part will be hands-on lab sessions where participants are encouraged to apply their newly acquired knowledge on real datasets and problems within interdisciplinary teams.

 

Location

The Bavarian Capital Munich is the second largest city in Germany and home to around 1.5 mio people, including more than 100,000 students. Munich is not only home to the famous Oktoberfest, but also known for its parks, rivers, and the surrounding lakes, mountains, and castles.

 

Program

Date Time Session
03.08.2020

9 a.m. - 12 p.m.

Introduction LegalTech & Natural Legal Language Processing

Prof. Dr. Florian Matthes (TU Munich)

1 p.m. - 4 p.m.

Lab: Rule-based Natural Legal Language Processing

Oleksandra Klymenko, M.Sc. mult. (TU Munich)

4:30 p.m. - 6 p.m.

Get-together with poster presentation

All participants

04.08.2020 9 a.m. - 12 p.m.

Computational Models of Case-Based Reasoning

Prof. Kevin Ashley, PhD (University of Pittsburgh)

1 p.m. - 4 p.m.

Lab: Cased-Based Reasoning

tba

05.08.2020 9 a.m. - 12 p.m.

Argument Mining

Dr. Serena Villata (CNR - Centre national de la recherche scientifique)

1 p.m. - 8 p.m. Networking in the Bavarian countryside
06.08.2020 9 a.m. - 12 p.m.

Prediction of Constitutional Court Decisions & Vaguness in Judical Texts

Dr. Sebastian Sternberger*

1 p.m. - 4 p.m.

Lab: Prediction of Constitutional Court Decisions & Vaguness in Judical Texts

Dr. Sebastian Sternberger*

5 p.m. - 8 p.m.

Panel discussion: Law, AI, and Ethics

Prof. Dr. Dirk Heckmann (TU Munich), tba, tba

07.08.2020 9 a.m. - 12 p.m.

tba

* tentative 

Session Formats

  • Talks: Each day will start with a lecture from an internationally renowned  expert.
  • Labs: In succession to most  talks there will be related Lab-Sessions in which participants will work and discuss in interdisciplinary teams of 2 – 4 students. They will apply knowledge gained in the talks by analyzing datasets, using tools, and discuss results.
  • Poster presentation: On the first day there will be a poster presentation where all participants can present their own research (interest) to the fellow participants.
  • Panel discussion: A panel of experts will discuss ethical implications of the usage of AI for law and answer questions from the participants.
  • Excursion: Participants will visit the Bavarian countryside and get the opportunity to network with speakers and participants.

 

Speakers

Prof. Dr. Florian Matthes

Since 2002 Florian Matthes holds the chair for Software Engineering for Business Information Systems at Technische Universität München. The current focus of his research is on technologies driving the digital transformation of enterprises and societies: Enterprise architecture management, service platforms and their ecosystems, semantic analysis of legal texts and executable contracts on blockchains. He is co-founder of CoreMedia, infoAsset and Tr8cy, scientific advisor of UnternehmerTUM, member of the Münchner Kreis, scientifc advisor of Noumena Digital, member of the advisory board of the Ernst Denert-Stiftung für Software Engineering, co-founder of Blockchain Bayern e.V. and initiator and organizer of international conferences and workshops in software and enterprise engineering.

Oleksandra Klymenko, M. Sc. mult.

Oleksandra Klymenko joined the chair for Software Engineering of Business Information Systems at the Technical University of Munich in July 2019. Oleksandra holds a M.Sc. in Information Systems from the Technical University of Munich and a M.Sc. in Informatics from Taras Shevchenko National University of Kyiv.

Prof. Kevin D. Ashley, PhD

Professor Kevin D. Ashley is an expert on computer modeling of legal reasoning and cyberspace legal issues. In 2002 he was selected as a Fellow of the American Association of Artificial Intelligence “for significant contributions in computationally modeling case-based and analogical reasoning in law and practical ethics.” He has reported his research in conference proceedings of the American Association for Artificial Intelligence, the International Association for Artificial Intelligence and Law, and the Foundation for Legal Knowledge Systems (JURIX). He has also published in journals such as Jurimetrics, the International Journal of Artificial Intelligence in Education, and Artificial Intelligence and Law, of which he is a co-editor in chief. Professor Ashley has been a principal investigator of a number of National Science Foundation grants to study reasoning with cases in law and professional ethics.

Dr. Serena Villata

Dr. Serena Villata is a member of the SPARKS-WIMMICS Research Team and since October 2015, she is a researcher (CR1) at CNRS. She defended her HDR (habilitation) in July 2018 and is affiliated with the I3S research centre in Sophia Antipolis (France). Dr Villata's research interests include Artificial Intelligence, Knowledge Representation and Reasoning, Argumentation Mining, Artificial Intelligence and Law, Computational Linguistics, and Semantic Web.

Prof. Dr. Dirk Heckmann

Professor Dirk Heckmann holds the Chair of Law and Security of Digitization at the TUM since October 1, 2019. He is a much-acclaimed expert in data protection law, IT security law, e-government and legal informatics. For many years now, legislators have been building on his research to inform laws governing online privacy and digital healthcare services, for instance, with a view to placing the interests of the individual and society in general at the heart of digital change. As a part-time constitutional judge at the Bavarian Constitutional Court and Consumer Ambassador at the Bavarian Center for Digitalization, Heckmann is a strong advocate of basic citizen rights. He was a member of the Ethics Committee of the Federal Ministry of Transport focused on autonomous and connected driving and was appointed to the Data Ethics Committee of the federal government in 2018. He is also a director at the Bavarian Hub for Digital Transformation (bidt).

 

Application and Costs

Participation in the Summer School will be free of charge and lunch will be provided. Additionally, we hope we will be able to provide a number of travel grants covering costs for travel and accommodation. Application will close 26th of April 2020 and notifications will be send out in the first weeks of May.

The number of participants is limited to 30 in order to provide an interactive learning atmosphere. We invite applications from PhD students and recently graduated postdocs from the fields of computer science, law, and related fields. In order to apply, please write an E-Mail to legaltech.summerschool.sebis@tum.de including the following documents:

  • Motivation statement
  • CV
  • Documents showing you're enrolled as a PhD student / you recently finished your PhD and are now working as a postdoc
  • One page abstract of your dissertation topic or research interest

If you have any questions, please write to legaltech.summerschool.sebis@tum.de or daniel.braun@tum.de.