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.
LexPredict is an enterprise legal technology and consulting firm, specializing in the application of best-in-class processes and technologies from the technology, financial services, and logistics industries to the practice of law, compliance, insurance, and risk management.
We focus on the goals of prediction, optimization, and risk management to enable holistic organizational changes that empower legal decision-making. These changes span people and processes, software and data, and execution and education.