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...
This is an excerpted chapter from “The Signal and the Noise: Why So Many Predictions Fail — but Some Don’t” by Nate Silver, editor in chief of FiveThirtyEight. The book was published in September 2012 by Penguin Press, and this chapter was the inspiration for “The Man vs. The Machine,” a short documentary film directed by Frank Marshall and produced by FiveThirtyEight and ESPN Films.
IBM's Watson may play a part in helping firms better manage pricing. Early this year, IBM sunk $1 billion into creating a new business unit, the IBM Watson Group, to develop and commercialize Watson in several specific industries, including legal. Rich Holada, vice president of transformations for the legal industry in the IBM Watson Group, said the unit is targeting three sets of customers: large law firms, legal service providers, and corporate law departments.
Holada stresses that Watson is not a product,...
Probably the most fertile ground for the use of legal business analytics relates to predicting costs for litigation matters. It can be done, within reason. The concept makes sense— e-billing has been around for a long time, there is much available data, why not use it?
Predictability of outside spending is a top law department pain point, as is controlling costs. Analytics can help predict and manage three components of spending: billing rates, staffing and productivity. The most common is billing...
For law firms to get smart about bidding on work they need a legal management infrastructure with deep knowledge and understanding of their matters, staffing resources, billing rates and spending data. This knowledge infrastructure, or business intelligence, goes beyond a stand-alone matter management application to include historical and real-time information on billing rates, invoices and costs, and incorporates a facility to calculate alternative fee arrangements and use third-party data to compare...
In a recent post over at Concurring Opinions, Harry Surden (Colorado) concludes with the following prediction: "In the not too distant future, such data-driven approaches to engaging in legal prediction are likely to become more common within law. Outside of law, data analytics and machine-learning have been transforming industries ranging from medicine to finance, and it is unlikely that law will remain as comparatively untouched by such sweeping changes as it remains today."
This past Thursday Ron Dolin and I spole on a panel at the 19th Annual Thomson Reuters Legal Executive Institute Law Firm Leaders Forum. Above are Ron’s slides which many of you might find interesting. Below is a modified version of my presentation Five Observations Regarding Technology and the Legal Industry (which I gave at the LegalWeek Corporate Counsel Forum last month).
Picture It Settled - Moneyball for Negotiation - mentioned at Katz deck slide 87. Thanks!