Tag Archives: Legal machine learning

El Jelali et al.: Legal retrieval as support to eMediation

Soufiane El Jelali, Elisabetta Fersini, and Enza Messina have published Legal retrieval as support to eMediation: Matching disputant’s case and court decisions, forthcoming in Artificial Intelligence and Law. Here is the abstract: The perspective of online dispute resolution (ODR) is … Continue reading

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Katz and Bommarito: Legal Analytics Course: Website, Course Materials, and Code

Daniel Martin Katz and Michael Bommarito of Michigan State University and its ReInvent Law Laboratory have launched a Website for their course entitled Legal Analytics. The site includes course materials, slides, and code. The site is described in their recent … Continue reading

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McGinnis on Computational Jurisprudence

Video has been posted of John O. McGinnis‘s presentation entitled Computational Jurisprudence, given 29 January 2015 at Stanford Law School, as part of the Stanford CodeX Speaker Series. Here is the description from the event announcement: Professor John O. McGinnis … Continue reading

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Call for papers: DESI VI Workshop on Advanced Technologies to Address Legal Problems in E-Discovery and Information Governance

A call for papers has been issued for the ICAIL 2015 DESI VI Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance, scheduled to be held 8 June 2015 at the … Continue reading

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Katz and Bommarito: Slides: Legal Analytics – Introduction to the Course

Daniel Martin Katz and Michael Bommarito have posted slides from the first class session of their course entitled Legal Analytics, which they are teaching at Michigan State University College of Law. Here is an excerpt from Dan’s post describing the … Continue reading

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Winkels et al.: Towards a Legal Recommender System

Radboud Winkels, Alexander Boer, and Bart Vredebregt have posted Towards a Legal Recommender System, a paper presented at JURIX 2014: International Conference on Legal Knowledge and Information Systems. Here is the abstract: In this paper we present the results of … Continue reading

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