Daniel Martin Katz and Michael Bommarito of Michigan State University and the ReInvent Law Lab have posted slides of their presentation entitled The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms , given 19 November 2014 at Chicago Legal Innovation and Technology Meetup, in Chicago, Illinois, USA.
Among the topics covered in the presentation are:
- Katz’s research on quantitative legal prediction
- The Supreme Court Forecasting Project
- Katz, Bommarito, and Blackman’s
{Marshall}+algorithm - Combinations of automated, crowdsourced, and expert legal prediction methods
Some comments about the presentation are shown in the storify of the meetup.
Filed under: Applications, Slides, Technology developments, Technology tools Tagged: Chicago Legal Innovation and Technology Meetup, Computational Legal Studies, Crowdsourced legal prediction, Crowdsourcing legal prediction, Daniel Martin Katz, Expert legal prediction, Expert legal predictions, Legal crowdsourcing, Legal prediction, Michael Bommarito, Quantitative legal prediction
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