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
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 !
Our next paper — OpenEDGAR – Open Source Software for SEC Edgar Analysis is now available. This paper explores a range of #OpenSource tools we have developed to explore the EDGAR system operated by the US Securities and Exchange Commission (SEC). While a range of more sophisticated extraction and clause classification protocols can be developed leveraging LexNLP and other open and closed source tools, we provide some very simple code examples as an illustrative starting point.
Click here for Paper: < SSRN > < arXiv >
Access Codebase Here: < Github >
Abstract: OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License at https://github.com/LexPredict/openedgar
Tickets are FREE but registration is required — – http://blocklegaltech.com/
#BlockChain #CryptoInfrastructure #FinTech #LegalTech #ICO
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
Today I am UConn Law speaking at a Conference entitled – Evaluating Litigation Risk in the 21st Century. Thanks to Alexandra Lahav and the UConn Insurance Law Center for hosting me today!
CLOC Panel – Legal AI in Real Life — (Cisco, Liberty Mutual, Spotify) (I was filling in for Julian T. from Google) — I discussed the contract analytics project we are undertaking with Cisco / Elevate and other applied A.I. / Analytics Projects that the LexPredict Team is undertaking with corporate legal departments !