First Machine Learning Course for Law Students

Daniel Martin Katz and Michael J. Bommarito II are teaching a new course on machine learning this semester at the Michigan State University College of Law. The course is called ‘Legal Analytics‘ and Katz has shared an introduction to their course on Computational Legal Studies.

He notes that,

“… we are moving into an era of data driven law practice. This course is a direct response to demands from relevant industry stakeholders.”

A future law practice where machines working with humans will perform better than humans or machines alone.

They recommend two texts for the course:

Machine Learning for Hackers by Drew Conway and John Myles White published by O’Reilly Media in 2012. And Peter Flach‘s, Machine Learning: The Art and Science of Algorithms That Make Sense of Data also published in 2012 by Cambridge University Press.
The slides for the subsequent classes of the Legal Analytics course are made available as the course unfolds. Slides from last fall’s “Quantitative Methods for Lawyers” are available on the Computational Legal Studies site which suggests we can look forward to following along or reviewing the materials once the course has finished.

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