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.
“Organized by Wolters Kluwer and Inkietos, and under the honorary presidency of His Majesty Felipe VI, the Legal Management Forum aims to serve as a space for reflection and knowledge of the main challenges and opportunities related to management in the legal profession.”
The global legal innovation conversation is growing and it was my pleasure to deliver the keynote address to the more than 400 in attendance here in Madrid.
Pretty useful summary which is something we try to teach our students in our Legal Analytics Course (which could really be called Machine Learning for Lawyers). BTW – For those of you who emailed us, we promise to fill out the balance of the set of free, online Legal Analytics course materials in the coming months.
“I thought back to that big problem lawyers face in their day-to-day work, and how it impacts regular people,” Ovbiagele tells WIRED. “I thought we should apply the capabilities of machine learning to tackle this problem and make things better for lawyers and for clients.”
“LegalRank can figure out which results get preferential results, whether that’s prioritizing a case that has more citations, knowing that a Supreme Court case should rank higher than a local decision, and other nuances.”
Full disclosure – I am a member of the advisory board of NextLaw Labs.
This past week, I had the pleasure of participating in a half day closed door session with about ~40-50 folks from the financial services industry including several of the world’s finest law firms, representatives from SIFI and non-SIFI financial institutions as well as folks from IBM Watson and LegalOnRamp (a Watson eco-system partner).
The specific subject was RRP – the resolution planning / living wills requirement under Dodd Frank. Former Congressman Barney Frank provided opening remarks and joined the group for the balance of the half day session. Paul Lippe and I discussed our recent paper on Resolution Planning that was published in Banking Perspective (The Journal of The Clearing House).
As we argue in the paper, the ‘too big to fail argument’ is not really that intellectually forceful. The question – properly posed – is what to do about complexity and the management of complex systems. The complex and interdependent nature of the banking ecosystem is the feature that really challenges efforts to develop robust regulatory / management structures. This would be true even if existing financial institutions were made smaller.
Our conversation was about how to use technology and system redesign to confront and manage wide scale complexity. The resolution planning challenge should not just be focused upon clearing the existing regulatory hurdle but actually can be an opportunity for organizations to build better financial/legal information infrastructure (ultimately leading to an internet of contracts or more broadly an internet of legal things). In building a better financial/legal information infrastructure, banks will be better positioned to manage/properly price risk.