An Updated Version of Artificial Intelligence and Law : A Six Part Primer
“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.”
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?
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
Yesterday 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.
This upcoming week and next week I have the pleasure of teaching “Complex Systems Models in the Social Sciences” here at the University of Michigan ICPSR Summer Program in Quantitative Methods. The field of complex systems is very diverse and it is difficult to do complete justice to the range of scholarship conducted under this umbrella in a short survey course. However, we strive to cover the canonical topics such as computational game theory and computational modeling, network science, natural language processing, randomness vs. determinism, diffusion, cascades, emergence, empirical approaches to study complexity (including measurement), social epidemiology, non-linear dynamics, etc. Click here or on the image above to access my course materials!