April 2018 – Computational Legal Studies

Primerus – 2018 Annual PDI Convocation – Scottsdale, AZ

April 28, 2018 clsadmin

It is my great pleasure to visit with Primerus and its associated law firms and deliver an address at its 2018 Annual PDI Convocation.

Evaluating Litigation Risk in the 21st Century – Conference at UConn Law

April 27, 2018 clsadmin

Today I am UConn Law speaking at a Conference entitled – Evaluating Litigation Risk in the 21st Century. Thanks to Alexandra Lahav and the UConn Insurance Law Center for hosting me today!

CLOC 2018 – Legal AI Implementations in Real Life

April 26, 2018 clsadmin

CLOC Panel – Legal AI in Real Life — (Cisco, Liberty Mutual, Spotify) (I was filling in for Julian T. from Google) — I discussed the contract analytics project we are undertaking with Cisco / Elevate and other applied A.I. / Analytics Projects that the LexPredict Team is undertaking with corporate legal departments !

Third Annual Vanderbilt AI + Law Conference

April 20, 2018 clsadmin

Reed Smith Launches Tech Program for Select Summer Associates (via the American Lawyer)

April 20, 2018 clsadmin

We are very happy to partner with our friends at Reed Smith on this program. Congrats to Arthur Surratt III from Chicago Kent College of Law for being selected as an inaugural Legal Technology Summer Associate! #LegalTechRising

Clifford Chance Offers Coding Training to All Lawyers (via The Lawyer – UK)

April 15, 2018 clsadmin

Mexico Legal Summit – Hosted at Deloitte Legal in Mexico City

April 13, 2018 clsadmin

Yesterday I had the pleasure of participating in the Mexico Legal Summit. The event was hosted at Deloitte Legal in Mexico City and attracted nearly 200 attendees. #LegalInnovation #LegalTech #NewLaw

Optimal diversification strategies in the networks of related products and of related research areas (via Nature Communications)

April 9, 2018 clsadmin

Graphics Processors are on a Supercharged Development Path that Eclipses Moore’s Law (via IEEE Spectrum)

April 4, 2018 clsadmin

Computational LegalFollow

Retweet on Twitter Computational Legal Retweeted

🦊 GitLab@gitlab·

14 Oct

🔔 “If you want to go fast, go alone; if you want to go far, go together.”

Look at how far we have been able to go together at GitLab, where we believe #EveryoneCanContribute.

$GTLB at @Nasdaq

Reply on Twitter 1448663185397989382 Retweet on Twitter 1448663185397989382220 Like on Twitter 1448663185397989382952 Twitter 1448663185397989382

Retweet on Twitter Computational Legal Retweeted

Yanai Elazar @yanaiela·

14 Oct

Advancements in Commonsense Reasoning and Language Models make the Winograd Schema look solved.
After revisiting the experimental setup and evaluation, we show that models perform randomly!

Our latest work at EMNLP, w/ @hongming110, @yoavgo, @DanRothNLP
https://arxiv.org/abs/2104.08161

Reply on Twitter 1448637821351350278 Retweet on Twitter 144863782135135027850 Like on Twitter 1448637821351350278186 Twitter 1448637821351350278

Retweet on Twitter Computational Legal Retweeted

Rex Douglass (Computational Social Scientist/PhD)@RexDouglass·

13 Oct

The go-to answer for how ML is different than stats is 'caring about prediction.' People forget stats used to care about prediction. The garbage culture of stats as a means to sell a RHS variable is an academic invention. Real world applied statistics has to care about model fit. https://twitter.com/beenwrekt/status/1448288222983843850

Ben Recht@beenwrekt

Is machine learning just nonparametric statistics? https://www.argmin.net/2021/10/13/prediction/

Reply on Twitter 1448306494621970434 Retweet on Twitter 14483064946219704343 Like on Twitter 14483064946219704347 Twitter 1448306494621970434

Computational Legal @computational·

13 Oct

It was a pleasure to give the (Virtual)) Keynote Talk today at LexCon 2021 in Vienna — thanks to the Team from @LexisNexisAT for the invite! Thanks to DiePresse as well for hosting ! @diepresse_com #LegalTech #LegalInnovation #LegalData #LegalIT

Reply on Twitter 1448366680682471425 Retweet on Twitter 14483666806824714251 Like on Twitter 14483666806824714254 Twitter 1448366680682471425

Daniel Martin Katz, Ron Dolin & Michael Bommarito, Legal Informatics, Cambridge University Press (2021) (Edited Volume) < Cambridge >

Corinna Coupette, Janis Beckedorf, Dirk Hartung, Michael Bommarito, & Daniel Martin Katz, Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany, 9 Front. Phys. 658463 (2021) < Frontiers in Physics > < Supplemental Material >

Daniel Martin Katz, Legal Innovation (Book Forward) in Mapping Legal Innovation: Trends and Perspectives (Springer) (Antoine Masson & Gavin Robinson, eds.) (2021) < Springer >

Michael Bommarito, Daniel Martin Katz & Eric Detterman, LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts in Research Handbook on Big Data Law (Edward Elgar Press) (Roland Vogl, ed.) (2021) < Edward Elgar > < Github > < SSRN > < arXiv >

Daniel Martin Katz, Corinna Coupette, Janis Beckedorf & Dirk Hartung, Complex Societies and the Growth of the Law, 10 Scientific Reports 18737 (2020) < Nature Research > < Supplemental Material >

Edward D. Lee, Daniel Martin Katz, Michael J. Bommarito II, Paul Ginsparg, Sensitivity of Collective Outcomes Identifies Pivotal Components, 17 Journal of the Royal Society Interface 167 (2020) < Journal of the Royal Society Interface > < Supplemental Material >

Michael Bommarito, Daniel Martin Katz & Eric Detterman, OpenEDGAR: Open Source Software for SEC EDGAR Analysis, MIT Computational Law Report (2020) < MIT Law > < Github >

J.B. Ruhl & Daniel Martin Katz, Mapping the Law with Artificial Intelligence in Law of Artificial Intelligence and Smart Machines (ABA Press) (2019) < ABA Press >

J.B. Ruhl & Daniel Martin Katz, Harnessing the Complexity of Legal Systems for Governing Global Challenges in Global Challenges, Governance, and Complexity (Edward Elgar) (2019) < Edward Elgar >

J.B. Ruhl & Daniel Martin Katz, Mapping Law’s Complexity with ‘Legal Maps’ in Complexity Theory and Law: Mapping an Emergent Jurisprudence (Taylor & Francis) (2018) < Taylor & Francis >

Michael Bommarito & Daniel Martin Katz, Measuring and Modeling the U.S. Regulatory Ecosystem, 168 Journal of Statistical Physics 1125 (2017) < J Stat Phys >

Daniel Martin Katz, Michael Bommarito & Josh Blackman, A General Approach for Predicting the Behavior of the Supreme Court of the United States, PLoS ONE 12(4): e0174698 (2017) < PLoS One >

J.B. Ruhl, Daniel Martin Katz & Michael Bommarito, Harnessing Legal Complexity, 355 Science 1377 (2017) < Science >

J.B. Ruhl & Daniel Martin Katz, Measuring, Monitoring, and Managing Legal Complexity, 101 Iowa Law Review 191 (2015) < SSRN >

Paul Lippe, Daniel Martin Katz & Dan Jackson, Legal by Design: A New Paradigm for Handling Complexity in Banking Regulation and Elsewhere in Law, 93 Oregon Law Review 831 (2015) < SSRN >

Paul Lippe, Jan Putnis, Daniel Martin Katz & Ian Hurst, How Smart Resolution Planning Can Help Banks Improve Profitability And Reduce Risk, Banking Perspective Quarterly (2015) < SSRN >

Daniel Martin Katz, The MIT School of Law? A Perspective on Legal Education in the 21st Century, Illinois Law Review 1431 (2014) < SSRN > < Slides >

Daniel Martin Katz & Michael Bommarito, Measuring the Complexity of the Law: The United States Code, 22 Journal of Artificial Intelligence & Law 1 (2014) < Springer > < SSRN >

Daniel Martin Katz, Quantitative Legal Prediction – or – How I Learned to Stop Worrying and Start Preparing for the Data Driven Future of the Legal Services Industry, 62 Emory Law Journal 909 (2013) < SSRN >

Daniel Martin Katz, Joshua Gubler, Jon Zelner, Michael Bommarito, Eric Provins & Eitan Ingall, Reproduction of Hierarchy? A Social Network Analysis of the American Law Professoriate, 61 Journal of Legal Education 76 (2011) < SSRN >

Michael Bommarito, Daniel Martin Katz & Jillian Isaacs-See, An Empirical Survey of the Written Decisions of the United States Tax Court (1990-2008), 30 Virginia Tax Review 523 (2011) < SSRN >

Daniel Martin Katz, Michael Bommarito, Juile Seaman, Adam Candeub, Eugene Agichtein, Legal N-Grams? A Simple Approach to Track the Evolution of Legal Language in Proceedings of JURIX: The 24th International Conference on Legal Knowledge and Information Systems (2011) < SSRN >

Daniel Martin Katz & Derek Stafford, Hustle and Flow: A Social Network Analysis of the American Federal Judiciary, 71 Ohio State Law Journal 457 (2010) < SSRN >

Michael Bommarito & Daniel Martin Katz, A Mathematical Approach to the Study of the United States Code, 389 Physica A 4195 (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz & Jonathan Zelner, On the Stability of Community Detection Algorithms on Longitudinal Citation Data in Proceedings of the 6th Conference on Applications of Social Network Analysis (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz, Jonathan Zelner & James Fowler, Distance Measures for Dynamic Citation Networks 389 Physica A 4201 (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz & Jonathan Zelner, Law as a Seamless Web? Comparing Various Network Representations of the United States Supreme Court Corpus (1791-2005) in Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009) < SSRN >

Marvin Krislov & Daniel Martin Katz, Taking State Constitutions Seriously, 17 Cornell Journal of Law & Public Policy 295 (2008) < SSRN >

Daniel Martin Katz, Derek Stafford & Eric Provins, Social Architecture, Judicial Peer Effects and the ‘Evolution’ of the Law: Toward a Positive Theory of Judicial Social Structure, 23 Georgia State Law Review 975 (2008) < SSRN >

Daniel Martin Katz, Institutional Rules, Strategic Behavior and the Legacy of Chief Justice William Rehnquist: Setting the Record Straight on Dickerson v. United States, 22 Journal of Law & Politics 303 (2006) < SSRN >

Daniel Martin Katz, Michael Bommarito, Tyler Sollinger & James Ming Chen, Law on the Market? Abnormal Stock Returns and Supreme Court Decision-Making < SSRN > < arXiv > < Slides >

Daniel Martin Katz, Michael Bommarito & Josh Blackman, Crowdsourcing Accurately and Robustly Predicts Supreme Court Decisions < SSRN > < arXiv > < Slides >

Daniel Martin Katz & Michael Bommarito, Regulatory Dynamics Revealed by the Securities Filings of Registered Companies < Slides >

Pierpaolo Vivo, Daniel Martin Katz & J.B. Ruhl (Editors), The Physics of the Law: Legal Systems Through the Prism of Complexity Science, Special Collection for Frontiers in Physics (2021 Forthcoming) < Frontiers in Physics >