Presentation at the Legal Data Mining Conference, Paris (FR)
Our conference Frontiers in Civil Justice will be held on 16-17 November 2020. We will address four key issues in civil justice requiring a deeper and renewed reflection in light of their contribution of facilitating access to justice. These are the shaping of the interaction between formal and informal justice, the digitalization of consumer dispute resolution (ODR), the collectivizing and monetizing of civil litigation and efforts of bringing justice closer to citizens. The conference will bring together academics, policymakers, practitioners and representatives of civil society to critically reflect on the opportunities and possible drawbacks ensuing from these paramount developments.
The outline of the conference, including confirmed keynote speakers, is avaible here. Further details will be made available soon.
Call for Papers!
For the last part of the conference we welcome abstracts on the topic ‘Innovations in Civil Justice - Bringing Justice Closer to Citizens’. Please send in your abstract of max. 500 words before 31 July. Further details can be found here.
We will have great speakers and look forward to exciting debates. We hope to see you in Rotterdam!
We are recruiting!
Published: April 1, 2019
On 21-22 March, Erlis Themeli participated in the “Legal Data Mining Conference” organised in Paris by the HEC Paris, École Polytechnique, DATAIA, and the Japanese National Institute of Informatics. The purpose of this Conference was to structure a conversation on both the fundamental and practical issues of legal data mining between scholars from AI, law, and logic. Erlis presented some preliminary findings from his empirical study on the perception of an AI-judge by court-users. This study, which is part of his research on the digitisation of justice, is conducted in collaboration with colleagues from the Rotterdam School of Management, the Erasmus School of Law, and the Utrecht University. The aim of the study is to better understand the reaction of court-users when facing a non-human judge.