Program Chair and Speaker at the Plenary Presidential Summit @ New York State Bar Association Annual Meeting – Artificial Intelligence and its Impact on the Legal Profession –


I am pleased to serve as a Program Chair and Speaker at the Plenary Presidential Summit @ New York State Bar Association Annual Meeting. Today’s topic will be Artificial Intelligence and its Impact on the Legal Profession.  Joining me on the panel are the following panelists covering the following topics:

What is Artificial Intelligence? What is Machine Learning?
Dera J. Nevin, eDiscovery Counsel, Proskauer

What are Some Applications of Artificial Intelligence, Machine Learning, and Predictive Analytics in Law?

Andrew M.J. Arruda, CEO & Co-Founder, Ross Intelligence
Daniel Martin Katz, J.D., Ph.D., Associate Professor of Law, Illinois Tech – Chicago Kent Law

What are the Labor Market Impacts? More Jobs, Less Jobs, Different Forms of Legal Jobs and Legal Work?
Noah Waisberg, J.D., Co-founder & CEO, Kira Systems

 

Noise: How to Overcome the High, Hidden Cost of Inconsistent Decision Making (via Harvard Business Review)

screen-shot-2016-09-14-at-9-51-44-amFrom the article:  “The prevalence of noise has been demonstrated in several studies. Academic researchers have repeatedly confirmed that professionals often contradict their own prior judgments when given the same data on different occasions. For instance, when software developers were asked on two separate days to estimate the completion time for a given task, the hours they projected differed by 71%, on average. When pathologists made two assessments of the severity of biopsy results, the correlation between their ratings was only .61 (out of a perfect 1.0), indicating that they made inconsistent diagnoses quite frequently. Judgments made by different people are even more likely to diverge. Research has confirmed that in many tasks, experts’ decisions are highly variable: valuing stocks, appraising real estate,sentencing criminals, evaluating job performance, auditing financial statements, and more. The unavoidable conclusion is that professionals often make decisions that deviate significantly from those of their peers, from their own prior decisions, and from rules that they themselves claim to follow.”

Suffice to say we at LexPredict agree.  Indeed, building from our work on Fantasy SCOTUS where our expert crowd outperforms any known single alternative (including the highest ranked Fantasy SCOTUS player), we have recently launched LexSemble (our configurable crowdsourcing platform) in order to help legal and other related organizations make better decisions (in transactions, litigation, regulatory matters, etc.).

We are working to pilot with a number of industry partners interested in applying underwriting techniques to more rigorously support their decision making.  This is also an example of what we have been calling Fin(Legal)Tech (the financialization of law).  If you want to learn more please sign up for our Fin(Legal)Tech conference coming on November 4th in Chicago) (tickets are free but space is limited).

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