Research Workshop

When: Third Friday of each month at Noon Central Time (sometimes fourth Friday; next workshops: January 20; February 17; March 17; April 21; May 19)

What: First 90 minutes: Two presentations of CS+Law works in progress or new papers with open Q&A. Last 30 minutes: Networking.

Where: Zoom

Who: CS+Law faculty, postdocs, PhD students, and other students (1) enrolled in or who have completed a graduate degree in CS or Law and (2) engage in CS+Law research intended for publication.

A Steering Committee of CS+Law faculty from Berkeley, Boston U., U. Chicago, Cornell, Georgetown, MIT, North Carolina Central, Northwestern, Ohio State, Penn, Technion, and UCLA organizes the CS+Law Monthly Workshop. A different university serves as the chair for each monthly program and sets the agenda.

Why: The Steering Committee’s goals include building community, facilitating the exchange of ideas, and getting students involved. To accomplish this, we ask that participants commit to attending regularly.

Computer Science + Law is a rapidly growing area. It is increasingly common that a researcher in one of these fields must interact with the other discipline. For example, there is significant research in each field regarding the law and regulation of computation, the use of computation in legal systems and governments, and the representation of law and legal reasoning. There has been a significant increase in interdisciplinary research collaborations between researchers from CS and Law. Our goal is to create a forum for the exchange of ideas in a collegial environment that promotes building community, collaboration, and research that helps to further develop CS+Law as a field.

Workshop 13: Friday, January 20, 12:00 to 2:00 p.m. Central (Chicago) Time

Please join us for our next CS+Law Research Workshop online on Friday, January 20 from Noon to 2:00 p.m. CT (Chicago time).

Workshop 13 organizer: MIT (Dazza Greenwood)

Link to join Zoom on January 20: Will be circulated to Google Group


20-minute presentation - Dr. Thibault Schrepel

25-minute Q&A

20-minute presentation - Dr. Megan Ma

25-minute Q&A

30 minutes networking and small-group discussions

Presentation 1:

Augmenting antitrust analysis with CS

Presenter: Dr. Thibault Schrepel, Amsterdam Law & Technology Institute

Dr. Thibault Schrepel, LL.M., is an Associate Professor of Law at VU Amsterdam University (Amsterdam Law & Technology Institute), and a Faculty Affiliate at Stanford University CodeX Center where he has created the “Computational Antitrust” project that brings together over 60 antitrust agencies. Thibault also holds research and teaching positions at the University Paris 1 Panthéon-Sorbonne and Sciences Po Paris. He is a Harvard University Berkman Center alumnus, a member of the French Superior Audiovisual Council’s scientific board, also, a blockchain expert appointed to the World Economic Forum and the World Bank. Thibault is the Network Law Review’s creator.

In 2018, Thibault was granted the “Academic Excellence” Global Competition Review Award, which recognizes “an academic competition specialist who has made an outstanding contribution to competition policy.” He has published a first manuscript (Bruylant ed.) on the subject of “predatory innovation in antitrust law” and articles at Harvard University, Stanford, MIT, Oxford, NYU, Berkeley, and Georgetown, among others.

These last couple of years, Thibault has been focusing most of his research on blockchain antitrust, computational antitrust, and complexity theory. He has written the world’s most downloaded antitrust articles of 2018 (“The Blockchain Antitrust Paradox”), 2019 (“Collusion by Blockchain and Smart Contracts”), 2020 (“Blockchain Code as Antitrust”), 2021 (“Computational Antitrust: An Introduction and Research Agenda”), and 2022 (“Complexity-Minded Antitrust”). His latest book, “Blockchain + Antitrust”, was published in September 2021.


Presentation 2:

Conceptual Issues in Developing “Expert-Driven” Data

Presenter: Dr. Megan Ma, Standford CodeX Fellow

Megan Ma is a residential fellow at CodeX. Her research considers the limits of legal expression, in particular how code could become the next legal language. Her work reflects on the frameworks of legal interpretation and its overlap in linguistics, logic, and aesthetic programming.

Megan is also the Managing Editor of the MIT Computational Law Report and a Research Affiliate at Singapore Management University in their Centre for Computational Law. As well, she received her PhD in Law at Sciences Po and was a lecturer there, having taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.

Abstract: It has (historically) been argued that specialized domains, such as the legal field, frequently are not exposed to research in deep learning due to the high costs of expert annotations. Coupled with the nature of the legal profession, few datasets in the public domain are available for research. Accordingly, methodology around how expertise may be used to create datasets tailored to the specialized field remain relatively unexplored. We conduct a qualitative experiment with an existing “expert-driven” dataset to offer preliminary observations on the quality of the data labels, functional relevance of the tool in practice, and consistency in the revisions. We then assess and provide recommendations as to whether a new standard is required when building expert datasets. Furthermore, against the exponential developments in generative AI, we reflect on the notion and role of expertise in training state-of-the-art NLP models, specific to contractual review.

For background, CUAD and MAUD on expert datasets referenced.

Join us to get meeting information

Join our group to get the agenda and Zoom information for each meeting and engage in the CS+Law discussion.

Interested in presenting?

Submit a proposed topic to present. We strongly encourage the presentation of works in progress, although we will consider the presentation of more polished and published projects.

2022-23 Series Schedule

Friday, September 23, Noon to 2:00 p.m. Central Time (Organizer: Northwestern)
Friday, October 28, Noon to 2:00 p.m. Central Time (Organizer: Cornell)
Friday, November 18, Noon to 2:00 p.m. Central Time (Organizer: UCLA)
Friday, December 16, Noon to 2:00 p.m. Central Time (Organizer: Boston University)
Friday, January 20, Noon to 2:00 p.m. Central Time (Organizer: MIT)
Friday, February 17, Noon to 2:00 p.m. Central Time (Organizer: U. Chicago)
Friday, March 17, Noon to 2:00 p.m. Central Time (Organizer: Penn)
Friday, April 21, Noon to 2:00 p.m. Central Time (Organizer: Berkeley)
Friday, May 19, Noon to 2:00 Central Time (Organizer: Georgetown)

Steering Committee

Ran Canetti (Boston U.)

Bryan Choi (Ohio State)

Aloni Cohen (U. Chicago)

April Dawson (North Carolina Central)

Dazza Greenwood (MIT)

James Grimmelmann (Cornell Tech)

Jason Hartline (Northwestern)

Dan Linna (Northwestern)

Paul Ohm (Georgetown)

Pamela Samuelson (Berkeley)

Inbal Talgam-Cohen (Technion - Israel Institute of Technology)

John Villasenor (UCLA)

Rebecca Wexler (Berkeley)

Christopher Yoo (Penn)

Background - CS+Law Monthly Workshop

Northwestern Professors Jason Hartline and Dan Linna convened an initial meeting of 21 CS+Law faculty at various universities on August 17, 2021 to propose a series of monthly CS+Law research conferences. Hartline and Linna sought volunteers to sit on a steering committee. Hartline, Linna, and their Northwestern colleagues provide the platform and administrative support for the series.