— Now Online (but still in beta)

Screen Shot 2015-01-30 at 7.08.47 PMThis intro class is designed to train students to efficiently manage, collect, explore, analyze, and communicate in a legal profession that is increasingly being driven by data.

Our goal is to imbue our students with the capability to understand the process of extracting actionable knowledge from data, to distinguish themselves in legal proceedings involving data or analysis, and assist in firm and in-house management, including billing, case forecasting, process improvement, resource management, and financial operations.

This course assumes prior knowledge of statistics, such as might be obtained in Quantitative Methods for Lawyers or through advanced undergraduate curricula.  This class is not for everyone; for many, it will prove to be challenging.  With that warning, we encourage you to consider your interest and career aspirations against the unique experience and value of this class.  To our knowledge, this is the only existing class that teaches these quantitative skills to lawyers and law students. 

Still in beta – we will be adding much more to this site as we move forward!

Legal Analytics – Introduction to the Course – Professors Daniel Martin Katz + Michael J Bommarito

Here is an introductory slide deck from “Legal Analytics” which is a course that Mike Bommarito and I are teaching this semester. Relevant legal applications include predictive coding in e-discovery (i.e. classification), early case assessment and overall case prediction, pricing and staff forecasting, prediction of judicial behavior, etc.

As I have written in my recent article in Emory Law Journal – we are moving into an era of data driven law practice. This course is a direct response to demands from relevant industry stakeholders. For a large number of prediction tasks … humans + machines > humans or machines working alone.

We believe this is the first ever Machine Learning Course offered to law students and it our goal to help develop the first wave of human capital trained to thrive as this this new data driven era takes hold. Richard Susskind likes to highlight this famous quote from Wayne Gretzky … “A good hockey player plays where the puck is. A great hockey player plays where the puck is going to be.”