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Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany

Daniel Katz

Our Paper “Measuring Law Over Time: A Network Analytical Framework with Application to Statutes and Regulations in United States and Germany” has now been published in Frontiers in Physics (Open Access) < Main Article > < Supplemental Material >

“We present a comprehensive framework for analyzing legal documents as multi-dimensional, dynamic document networks. We demonstrate the utility of this framework by applying it to an original dataset of statutes and regulations from two different countries, the United States and Germany, spanning more than twenty years (1998–2019). Our framework provides tools for assessing the size and connectivity of the legal system as viewed through the lens of specific document collections as well as for tracking the evolution of individual legal documents over time. Implementing the framework for our dataset, we find that at the federal level, the United States legal system is increasingly dominated by regulations, whereas the German legal system remains governed by statutes. This holds regardless of whether we measure the systems at the macro, the meso, or the micro level.”

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Slides from “Modeling the Law & Justice System” – Virtual Talk at the Indian Institute of Technology – Delhi

Daniel Katz

Slides from my Virtual Talk at the Indian Institute of Technology – Delhi. In this presentation, I highlight the Complexity Challenge in Law, Six Forms of Modeling Legal Systems and conclude with some thoughts about Law + STEM.Thanks to the following orgs for hosting me – DAKSH, Indian Institute of Technology, Delhi, National Law University, Delhi & DCoE IIT, Delhi

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Modeling the Law & Justice System – Talk by Professor Daniel Martin Katz at IIT-Delhi

Daniel Katz

It is a great pleasure to deliver a Virtual Talk today at IIT-Delhi — “Modeling the Law & Justice System” on May 25th 2021.

I will highlight the Complexity Challenge in Law, Six Forms of Modeling Legal Systems and concluded with some thoughts about Law+STEM.

Thanks to DAKSH, Indian Institute of Technology, Delhi, National Law University, Delhi and the DCoE IIT, Delhi for hosting me.

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Research Handbook in Big Data Law (Roland Vogl, Editor)

Daniel Katz

Many contributors to THIS VOLUME include — Sharad Goel, Jennifer Skeem, Ravi Shroff, c Chris Slobogin, Stephen Caines, Daniel Ho, Daniel Seng, Przemyslaw Palka, Marco Lippi, Benjamin Alarie, Anthony Niblett, Albert Yoon, Harry Surden, Ashkon Farhangi, Ajay Sohmshetty, Ashraf Bah Rabiou, Daniel Katz, Michael Bommarito, Eric Detterman, Dirk Hartung, Johannes (Jan) C. Scholtes, H. Jaap van den Herik, Katherine Strandburg, John Nay, Ricardo Vieira de Carvalho Fernandes, Hugo Honda, Mary-Anne Williams, Bernhard Waltl, Roberto V. Zicari, Florian Möslein, Bart Verheij, Heng Zheng, James Yoon, Daniel W. Linna Jr., Mauritz Kop, Shlomit Labin, Uri Segal, Andrew Antos, Nischal Nadhamuni, Martí Manent

We are pleased to contribute our Chapter –

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)