A great group here at the Dutch Legal Tech Meetup (the overall community has more than 800 members) – yesterday I spoke at a special student focused session! Thanks to Jelle Van Veenen Jeroen Zweers for serving as my hosts.
Legal Innovation is a global phenomena. US, UK, Canada, Australia, Continental Europe, South America, Asia, Central America, Africa, etc. (and new events in new places popping up everyday).
My view is that despite jurisdiction differences – lawyers are lawyers. No matter where I travel they are a recognizable species with similar business, technology and process improvement challenges.
I am honored to be Elected as a Fellow of the College of Law Practice Management. The College includes legal technologists, law firm leaders, corporate counsel, etc. I am looking forward to joining many friends and colleagues who are members of the college …
Our SCOTUS Prediction Paper is now live in Plos One (one of my favorite journals) — very happy about this (thanks to Luís A. Nunes Amaral of Northwestern University for serving as our Editor). #OpenSourceScience #SCOTUS #LegalAnalytics #LegalData #QuantitativeLegalPrediction
Yesterday was the 5th Annual Future Law Conference at Stanford CodeX. As always, it was an exciting day to see the best in cutting edge technology (including chatbots, predictive analytics and rules based A.I.). I moderated a morning panel entitled The Perils and Promise of Predictive Analytics in Law. Overall – it is clear that the community is growing both domestically and abroad.
We are excited to be giving a talk at Stanford the day before the Future Law Conference. Our talk will be hosted by Stanford CodeX – The Center for Legal Informatics. If you are in the Bay Area – you can join us by signing up for free here.
A more measured article than what we have seen lately regarding the so called ‘Robot Lawyers Thesis.’ I find it pretty funny that the NY Times Facebook link leads to the Click-Bait title but the final online version has the more measured title (see image above).
The article certainly has an Enterprise Law / Big Law undertone. If we focus on this subset of the market for legal services, there are a number of collective trends which together are transforming the market. It is the combined cocktail that is potent …
Here are five of them:
(1) Legal Outsourcing
(2) Insourcing and the Growth of Corporate Legal Departments
(3) Process Improvement (Lean / Six Sigma)
(4) Automation of Legal Tasks using A.I. (a.k.a. robot lawyers)
(5) Financialization of the Law aka #Fin(Legal)Tech
Plenty has been written about legal outsourcing, insourcing, and the growth of corporate legal departments and the application of process improvement methods (Lean / Six Sigma).
With respect to automation, it is curious to see the Times cite the Remus / Levy paper. At best, this paper is only relevant to the automation of the fraction of the work that is undertaken in Big Law (drawing from data from several years ago). They suggest an ‘automation rate’ of 2.5% per year. If that were to continue – this implies a rate for the decade of 25% just in Big Law alone. Again, this does not focus upon the other market dynamics highlighted above.
It is worth noting their data comes from a period before the implementation of #MLaaS (Machine Learning as a Service). Since its inception, #MLaaS has made A.I. tools far cheaper to custom build to problems. I have said recently that the best in legal tech has yet to be built (see slide 260).
So thanks to the NY Times for shedding light on this field. But lets remember the #RobotLawyers Thesis is only a small part of the puzzle.
As a matter of strategy, some element of the #LegalInnovation agenda should be part of the strategic portfolio of every legal organization (law firm, law school, corporate legal dept, etc.) Why? Because those who do so can increase their standing in the relevant market in question. Only those who use the newest and best tools available will thrive in an ever-changing market.
Not sure this is actually a “set back for AI in Medicine.” Rather, long story short — it ain’t 2014 anymore … as we discuss in our talk – Machine Learning as a Service : #MLaaS, Open Source and the Future of Legal Analytics – what started with Watson has turned into significant competition among major technology industry players. Throw in a some open source and you have some really strong economic forces which are upending even business models which were sound just three years ago …
From the story — “The partnership between IBM and one of the world’s top cancer research institutions is falling apart. The project is on hold, MD Anderson confirms, and has been since late last year. MD Anderson is actively requesting bids from other contractors who might replace IBM in future efforts. And a scathing report from auditors at the University of Texas says the project cost MD Anderson more than $62 million and yet did not meet its goals. The report, however, states: ‘Results stated herein should not be interpreted as an opinion on the scientific basis or functional capabilities of the system in its current state’….”