American Bar Association
Business Law Section: Legal Analytics Committee

ABA Section of Business Law

Business Law Section:
Legal Analytics Committee

Who We Are

Come join the committee!

#BLSAnalytics @BLSData

The Legal Analytics Committee’s mission is to explore, and educate business lawyers about, the use of math and economics in the substantive practice of business law. Specifically, we are focused on the use and application of:

  • Data analytics, statistics and probability theory
  • Economic theories of choice under uncertainty
  • Game theory
  • Behavioral economics
  • Machine learning, and
  • Computational law aka “QuantumLaw”

We seek to provide:

  1. basic resources, tools and information for business lawyers who want to use data and analytic tools; and
  2. advanced leadership for those who want to excel in using these tools.

The legal community has already started adopting these complex mathematical and economic techniques. This trend is accelerating.

In 2013, Richard Susskind wrote:

“Over the next two decades, the way in which lawyers work will change radically. Entirely new ways of delivering legal services will emerge, new providers will enter the market, and the working of our courts will be transformed.” Tomorrows Lawyers: An Introduction to Your Future.

Lawyers who fail to adopt will soon find themselves at a competitive disadvantage. Our goal is to help the business law community through this transition.

Come Join Us!

Warren E. Agin, Chair @AnalyticLaw

Committee Activities

Business Law Section Annual Meeting in Austin

September 13-15, 2018

Register Now!

Committee Meeting

Friday, September 14 from 8 to 10

Featuring a talk with LegalZoom general counsel Chas Rampenthal. With its recent $500 million investment raise, LegalZoom is now a legal double unicorn. This should be interesting,. We will also have breakout sessions for people interested in developing programming, creating content, building the newsletter, and running other interesting projects. Come tell us what you want to work on!

Dial-in Information:

866-646-6488 (International-707-287-9583)
Code: 1856339215

And - we are running a great program on algorithmic bias - Examining Bias in Technology: How to Help Develop Machine Learning Systems that Meet Ethical & Regulatory Standards

Saturday, September 15, 2018, 8:30 am to 10:00 am

Fairmont, Park View B, 7th Floor

If you know nothing about AI, we are co-sponsoring this program from the Technology Committee - AI Basics: What Business Lawyers Need to Know

Friday, September 14, 2018, 3:30 pm to 5:00 pm

Fairmont, Park View A, 7th Floor

Past Events:

Program: Artificial Intelligence in Practice: What's Here and What's Coming.

Saturday, April 14, 2018

Program: Demystifying Artificial Intelligence: What Lawyers Need to Know About AI and Machine Learning

Friday, September 14, 2017

Our program will provide a non-technical introduction to artificial intelligence and machine learning for lawyers across practice groups. We will define key terms, demonstrate how the technology currently works and discuss where it’s headed. We will help you provide better answers to your clients about how AI enhances your legal services.

Program: Data Driven Risk Assessment For Litigators and Transactional Lawyers

Saturday, April 8 from 10:30-11:30

Data is useful only if you can act on it. This program will help you develop data plans and capture "small data"
tailored to your organization’s needs. We will also introduce tools that will help move you from ad hoc,
anecdote-driven decision making to methodical, data-driven decision making.

Materials and Audio Now Available!

Program Materials

Program Audio

Program: Behavioral Economics: How It Informs Corporate Compliance, Dispute Resolution, and Disclosures

Saturday, April 8 from 11:30-12:30

Have you read "Thinking, Fast and Slow" but don't know how to use it? An expert panel teaches how to apply behavioral economics to solve problems in corporate compliance, dispute resolution, and disclosure compliance.

Watch this space for more information about the great programs we are planning on data analytics and behavioral economics, plus other activities.

Materials and Audio Now Available!

Program Materials

Program Audio

Cyberspace Committee Working Meeting in San Diego Featuring a Prototype Jam!

January 26-28, 2017

LAWG ran a prototype jam in conjunction with our parent committee's annual Winter Working Meeting. The prototype jam was the Thursday evening before the main meeting, and six teams competed to prototype a system that could small businesses review cloud computing coontracts

Sponsored by Kira Systems, LexPredict and Bloomberg BNA

Official Launch at the Business Law Section Annual Meeting in Boston

September 9, 2016

CLE Program - The New Paradigms: an Introduction to Legal Informatics for the Business Lawyer

Featured Lit IQ CEO Gary Sangha, Dazza Greenwood of the MIT Media Lab, LexPredict CEO Michael Bommarito, and BEworks CEO Kelly Peters.

Materials and Audio Now Available!

Program Materials

Program Audio

Want to Learn More about Legal Analytics...

Want to learn about data analysis for lawyers?

Check out Professor Daniel Katz's Quantitative Methods for Lawyers class or the introduction to Katz and Bommarito's Legal Analytics Course.

Want to learn about behavioral economics?

Read Nudge: Improving Decisions about Health, Wealth, and Happiness by Richard Thaler and Harvard Law professor Cass Sunstein.

Want to learn about game theory?

Try Game Theory: A Very Short Introduction by Ken Binmore.

Want to learn about machine learning for lawyers?

Watch this lecture by Professor Harry Surden.

Read A Simple Guide to Machine Learning by Warren E. Agin

Want to find out how to drive legal innovation?

See Jim Sandman's opening keynote at CodeX FutureLaw 2016.

Want some background on building a legal data strategy?

See this Presentation by LexPredict.

Want to find out what legal tech companies are applying advanced analytics to new products for lawyers and their clients?

CodeX at Stanford Law maintains a Legal Tech List. Select the Analytics category.

Join Us



Agin, Warren


Linna, Daniel


Blum, Oliver
Lifshitz, Lisa
Linna, Daniel
Morante, Thomas
Reyes, Carla
Simon, Michael


Adams, Kristen
Cohen, Richard
Eyre, Douglas
Garside, Leonard
Haraldsson, Karl
Honabach, Dennis
Kittay, Matthew
Leventon, Aileen
Mo, Irene
Murdock, John
Sarkar, Richik
Simon, Michael
Wang, Mian

Committee Roster  

Subcommittees  (click [+] for listing)

 Sub Committees



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In order to access the listserve archive, please click here.


Algorithmic Bias CLE

Demystifying AI CLE

Modified by Warren Agin on September 11, 2018

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