Why We’re Open-Sourcing ContraxSuite – Product Overview, Some Use Cases and Plan for Release


Following up on our prior announcement – here is a slidedeck offering more Product Overview, Use Case and Plan for Release.

Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and the Modern Information Economy

 

Today we here at LexPredict announce that we will be open sourcing our document analytics platform ContraxSuite (which works on a wide class of documents beyond just contracts).

From the Announcement – “Starting on August 1st, this code base and our public development roadmap will be hosted on Github under a permissive open-source licensing model that will allow most organizations to quickly and freely implement and customize their own contract and document analytics. Like Redhat does for Linux, we will provide support, customization, and data services to “cover the last mile” for those organizations who need it.

We believe that a very important future for law lies in its central role in facilitating and regulating the modern information economy. But unless we start treating law itself like the production of information, we’ll never get there. Before we can solve big problems with smart contracts, we need to start by structuring existing legacy contracts. We hope our actions today will help lawyers, companies, and other LegalTech providers accelerate the pace of improvement and innovation through more open collaboration.”    (click here for full announcement or access via Slideshare)

Artificial Intelligence and Law : 
A Six Part Primer – Professor Daniel Martin Katz (Updated Version 03.17.17)

An Updated Version of Artificial Intelligence and Law : 
A Six Part Primer

The rate at which US Companies cite regulations as an obstacle has quadrupled over the last 20 years (via Quartz)

“Michael Bommarito II and Daniel Martin Katz, legal scholars at the Illinois Institute of Technology, have tried to measure the growth of regulation by analyzing more than 160,000 corporate annual reports, or 10-K filings, at the US Securities and Exchange Commission. In a pre-print paper released Dec. 29, the authors find that the average number of regulatory references in any one filing increased from fewer than eight in 1995 to almost 32 in 2016. The average number of different laws cited in each filing more than doubled over the same period.”

Artificial Intelligence and Law – 
A Six Part Primer

Above is my keynote address at the Janders Dean Legal Horizon Conference in Sydney. It is a mixture of some earlier talks I have given – together with some new materials.

Stanford CodeX Future Law 2016 Conference @ Stanford Law School

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Tomorrow I will be at the Stanford CodeX Future Law 2016 Conference @Stanford Law School.  I will be moderating the following panel:

Hot or Not – Watson and Beyond 

What data analytics technologies are in use today?
What’s real and what’s marketing buzz?
What’s possible in the foreseeable future?
What are the implications for providers and consumers of legal services?
What are the limitations?
What are the policy implications?

Moderator:
Professor Dan Katz,
Illinois Tech – Chicago-Kent College of Law, @computational

Speakers:
Noah Waisberg, Kira Systems, @nwaisb
Khalid Al-Kofahi, Thomson Reuters, @KKofahi
Charles Horowitz, The MITRE Corporation Informatics
Andrew Arruda, ROSS Intelligence, @AndrewArruda
Himabindu Lakkaraju, Stanford University, @hima_bindu

Law Firm COO & CFO Forum Pre-Conference Workshop on Big Data / Legal Analytics / Legal Informatics

Screenshot 2015-10-29 13.45.15Yesterday I had the pleasure of participating in the Thomson Reuters Law Firm COO & CFO Forum Pre-Conference Workshop on Big Data.  The half day workshop explored various way that law firms and outside counsel can use data to be better lawyers and run better businesses.

Here is the information for my panel (below) and the full program is located here.

Few business trends are as simultaneously revered, derided, appreciated or ignored as that of big data. Used (somewhat flippantly) to describe large, complex data sets that resist traditional data processing applications, big data represents both a beginning and end for many professional industries ill- prepared to harness big data’s myriad benefits and value. This opening conversation lays the framework for our program by addressing four key questions and concerns:

  • What is big data?
  • Why should we use it?
  • Where does it lie within a business organization?
  • How do we identify ROI and value in big data investment?

Moderator:
John FernandezUS Chief Innovation Officer and Partner Dentons; Global Chair, NextLaw Labs

Panelists:
Justin Ergler
Director, Alternative Fee Intelligence and Analytics, GlaxoSmithKline
Daniel Martin KatzAssociate Professor of Law, Illinois Institute of Technology Chicago-Kent College of Law; Chief Strategy Officer, LexPredict
Michael S. Klastava – Vice President, Global Head of Legal Data & Analytics, American International Group, Inc.
Christopher ZornLiberal Arts Research Professor of Political Science and Sociology, The Pennsylvania State University; Principal, Quantitative Analysis, Lawyer Metrics