Crowdsourcing SCOTUS Paper Presentation at University of Minnesota Law School

The next leg of our SCOTUS Crowdsourcing Tour takes us to Minneapolis – for talk at the University of Minnesota Law School.  Looking forward to it!

Crowdsourcing Accurately and Robustly Predicts Supreme Court Decisions – Professors Daniel Martin Katz, Michael Bommarito & Josh Blackman


Today Michael J Bommarito II and I were live in Ann Arbor at the University of Michigan Center for Political Studies to kickoff the tour for our #SCOTUS Crowd Prediction Paperhere is version 1.01 of the slide deck

Six New Videos Added to TheLawLabChannel.com

WENDY RUBAS (VILLAGEMD) 
FROM ANECDOTE TO ANALYTICS: WAYFINDING AS A MODERN GENERAL COUNSEL

JILLIAN BOMMARITO (LEXPREDICT)
IT’S 10 PM – DO YOU KNOW WHERE YOUR LEGAL RESERVES ARE?

DENNIS KENNEDY (MASTERCARD)
AGILE LAWYERING IN THE PLATFORM ERA

EDDIE HARTMAN (LEGALZOOM)
THE PRICE IS THE PROOF

NICOLE SHANAHAN (STANFORD CODEX)
TRANSACTION COSTS AND LEGAL AI: FROM COASE’S THEOREM TO IBM WATSON, AND EVERYTHING IN BETWEEN

ED WALTERS (FASTCASE)
LAW’S FUTURE FROM FINANCE’S PAST: WHAT COULD POSSIBLY GO WRONG?

Blockchain, Cryptocurrency + Law Course – ( Professor Nelson Rosario + Professor Daniel Martin Katz )


Next semester – I am looking forward to teaching Blockchain, Cryptocurrency + Law with CK alum 
Nelson Rosario – there is real demand for this class among our students – the class was full before registration was even complete — we have 50 students taking the class and had to turn away a number of students … #LegalTech #Blockchain #LegalInnovation #Hashtag 

Applied Introduction to Machine Learning (via International Legal Technology Association Blog)

Fish & Richardson is one of the largest IP firms in the US so it is cool to see them exploring these ideas.  If you look at this intro using Microsoft Azure – this is very on point with lots of we have been saying about the mix of semistructured data and #MLaaS (machine learning as a service) … and why we teach both an introduction to quant methods and a machine learning for lawyers course.

International Bar Association – President’s Task Force on the Future of Legal Services (Phase I)


I am very happy to be included among most cited scholars in the network of the INTERNATIONAL BAR ASSOCIATION – PRESIDENT’S TASK FORCE ON THE FUTURE OF LEGAL SERVICES along with John Flood, the late Larry Ribstein, Richard Susskind, Paul Lippe, Tanina Rostain, William Henderson among many others … 

Revisiting Distance Measures for Dynamic Citation Networks – Published in Physica A


I was revisiting some of our old stuff for this Oslo event -early on for us on our #LegalPhysics #LegalAnalytics path – published in Physica A – “By applying our sink clustering method, we obtain a dendrogram of the network’s largest weakly connected component shown in Fig. 4. However, despite their general topical relatedness, these two clusters of cases engage substantively different sub-questions, and are thus appropriately divided into separate clusters. While not a major focus of the docket of the modern court, the early court elaborated a number of important legal concepts through the lens of these admiralty decisions. For example, the red group of cases engages questions of presidential power and the laws of war, as well as general interpretations of the Prize Acts of 1812. Meanwhile, the blue cluster engages questions surrounding tort liability, jurisdiction, and the burden of proof.”