Presenting at Two Legal Tech / Legal Innovation Conferences in Australia

It was a big week here in Australia – I took a few individual meetings, spoke at a couple law firms and delivered the Keynote at the Chilli IQ Lawtech Summit in Brisbane/Noosa ( https://www.lawtechsummit.com.au ) as well as the FLIP Legal Tech Conference in Sydney hosted by the Law Society of New South Wales (https://www.lawsociety.com.au/…/advoc…/flip/flip-conference/ )

It was nice to have coverage of my talk in Sydney in the Australian – the largest circulation newspaper for Australia!

Agreements Network Marries Legal Contracts with Blockchain (via Ledger Insights)

“Monax announced that eleven organizations are partnering with the Agreements Network (AN) which turns ‘legal processes into products’. The network enables people to create legally compliant agreements from templates with a few clicks.

The project deserves attention because of the involvement of Monax which is known for contributing the code to Hyperledger Burrow.

The AN announced it’s working with law firms BakerHostetler, LegalBono and ErdosIP. Additionally, tech firm partners include Clause, Crowdcube, LexPredict, Libra, Mattereum, Monax, Rymedi, TransparentNode and Wolfram Blockchain Labs.”

< ACCESS FULL STORY HERE >

SEE ALSO –
See Press Release Here >
Agreements.Network >
Docs / Network Protocol >

 

Warren Agin Joins LexPredict as Director of Professional Development and Senior Consultant


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

Block (Legal) Tech Conference – Illinois Tech – Chicago Kent College of Law on August 9, 2018

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 !

LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts (Bommarito, Katz, Detterman)

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