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.”
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).
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.
As a member of the local organizing committee, I just wanted to mention that today is the final day for priority registration for the International Conference on Artificial Intelligence & Law in San Diego.