It was a great pleasure to delivery one of the Keynote Address at the 2016 British Legal Technology Forum. My talk was Fin(Legal)Tech – Law’s Future from Finance’s Past. Thanks to Richard Susskind and the full team at NetLaw Media for a wonderful event.
Today I am quoted in a story in Wired about Legal Tech and its role in shaping change within the legal industry …
HT: RC Richards
Quantitative Methods for Lawyers is the first course in a two course sequence and it assumes no prior knowledge of statistics / quantitative thinking. You will learn basic concepts and will receive an introduction to R (the open source programming language which is lingua franca of statistical computing). Those with a prior knowledge of statistics, etc. might be advised to simply start with our Legal Analytics course (which is a primer in machine learning / advanced analytics for lawyers that I teach with Michael Bommarito).
Today I had the pleasure of participating in the Law, Justice & Development Week at the World Bank in its headquarters in Washington DC. My panel was focused on Technology, Data and Computation to Promote the Rule of Law. It was a great and meaningful conversation pointed toward substantive applications!
Tomorrow I will be speaking on the opening panel at the Advanced E-Discovery Institute @ Georgetown Law. The event draws hundreds of lawyers and technologists to Washington DC to discuss the latest advances in the rapidly evolving field of E-Discovery.
Obviously this move is pretty significant for those trying to sell machine learning in a SAAS style model / machine learning as a service (ML_AAS). Together with the significant amount of ML technology that is already in the opensource ecosystem – this will put more pressure on customization / configuration around problems with a much smaller premium on having access to certain forms of base models/algorithms.