We are very excited to welcome Warren E. Agin to the LexPredict team! Warren Agin joins LexPredict as Director of Professional Development and Senior Consultant. Warren is Founding Chair of the American Bar Association’s Legal Analytics Committee and serves Adjunct Professor at Boston College Law School where he teaches Legal Analytics. Warren is the author of a recent study which uses machine learning to predict outcomes in bankruptcy cases. Warren will bring nearly thirty years of legal practice experience to the LexPredict team.
#machinelearning #legaltech #legaldata #legalanalytics #legalinnovation
Today is Day 2 here teaching at the Legal Technology and Operations Summer School at Bucerius Law School here in Hamburg !
24 days Until – Block ( Legal ) Tech Conference – Some of the best minds in Blockchain and Law will gather at Illinois Tech – Chicago Kent College of Law on August 9, 2018. BlockLegalTech.com
CONFIRMED Speakers Include —
Ken Blanco | Director @ FinCEN
Kevin Batteh | Delta Strategy Group
Preston Byrne | Monax
Jess Cheng | International Monetary Fund
Drew Hinkes | Athena Blockchain & NYU Stern School of Business
Peter Hunn | The Accord Project & Clause.io
Daniel Katz | The Law Lab @ Illinois Tech – Chicago-Kent Law
Amy Kim | Chamber of Digital Commerce
Joshua Klayman | Klayman LLC
Tony Lai | Legal.io + Stanford CodeX
Jennifer O’Rourke | Attest, Inc.
Stephen Palley | Anderson Kill
Matt Roszak | Bloq
John Roth | Bittrex
Colleen Sullivan | CMT Digital Holdings LLC & Sullivan Wolf Kailus LLC
Angela Walch | Centre for Blockchain Tech – Univ. College London
And thanks to our sponsors !
Yesterday we had a great first session of my course – Legal Tech & Informatics — the Innovation, Law and Tech – Executive LLM Program at UToronto Law ! #LegalTech #LegalInnovation #LegalData
It was a great pleasure to participate in the 2018 RSG Financial Times Innovative Lawyers Conference in London !
Paper Abstract – LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text. The package includes functionality to (i) segment documents, (ii) identify key text such as titles and section headings, (iii) extract over eighteen types of structured information like distances and dates, (iv) extract named entities such as companies and geopolitical entities, (v) transform text into features for model training, and (vi) build unsupervised and supervised models such as word embedding or tagging models. LexNLP includes pre-trained models based on thousands of unit tests drawn from real documents available from the SEC EDGAR database as well as various judicial and regulatory proceedings. LexNLP is designed for use in both academic research and industrial applications, and is distributed at https://github.com/LexPredict/lexpredict-lexnlp
Academic Tour Continues – tomorrow I will be giving a talk at Bar Ilan University here in Tel Aviv at their Law & Big Data Workshop – it is looks like an good agenda with proper scientific papers with technical results / or discussions about methodology. #LegalScience #LegalData #LegalInformatics
It is my great pleasure to visit with Primerus and its associated law firms and deliver an address at its 2018 Annual PDI Convocation.
Yesterday I had the pleasure of participating in the Mexico Legal Summit. The event was hosted at Deloitte Legal in Mexico City and attracted nearly 200 attendees. #LegalInnovation #LegalTech #NewLaw