I have moved to Emory University School of Law

Posts on this website are infrequent these days. But I thought it was worth mentioning that I have moved to Atlanta to take a position on the amazing Emory Law faculty. I was hired as a Professor of Law in Artificial Intelligence, Machine Learning, and Data Science as part of Emory’s bold new AI.Humanity initiative.

You can read the Emory announcement here: https://law.emory.edu/news-and-events/releases/2022/04/sag_joins_emory_law.html

Legal Scholars Roundtable on Artificial Intelligence: Call for Papers

Loyola University of Chicago is proud to present the first annual Legal Scholars Roundtable on Artificial Intelligence. The Legal Scholars Roundtable on Artificial Intelligence will take place online on March 18, 2022.

The Legal Scholars Roundtable on Artificial Intelligence is designed to be a forum for the discussion of current legal scholarship on AI, covering a range of methodologies, topics, perspectives, and legal intersections.

Between four and eight papers will be chosen for discussion for this inaugural roundtable, with each paper allocated up to an hour for discussion. Each paper will be introduced briefly by a designated commentator (3-8 minutes), with authors allowed an even briefer chance to respond (0-4 minutes), before general discussion.  

The Roundtable will be held Friday, March 18, 2022 beginning at 10:00AM Central Time to accommodate participants on the West Coast until 5:00 PM Central Time.

Participation at the Roundtable will be limited and invitation-only and participants are expected to have read the papers of other participants in advance and be prepared to offer substantive comments.

We invite applications to participate, to comment, and/or to present from academics working on any topic relating to legal issues in artificial intelligence including:

    • Competition/Antitrust
    • Consumer protection/regulatory law
    • Contract law
    • Corporations law
    • Criminal justice
    • Cybersecurity
    • Data privacy
    • Discrimination
    • Health law
    • Intellectual property
    • Tort law

To present, submissions must be substantially complete drafts in Microsoft word format. The deadline for submission is Friday, February 11, 2021 and decisions on participation will be made shortly thereafter, ideally, by February 18, 2022.

We anticipate this Legal Scholars Roundtable on Artificial Intelligence will bring together a diverse intellectual community, and we plan to sustain that community with a series of in-person and online conferences in the coming years. We invite you to be part of this inaugural event!

To apply to participate, comment, or present, please fill out the google form (https://forms.gle/yhXANrTAWHcJciHk9). Those wishing to present should also email their papers to msag@luc.edu. A subject line of “Legal Scholars AI 2022” would be helpful.  

The Roundtable will be convened by Loyola Chicago Professors, Matthew Sag and Charlotte Tschider. Matthew is a leading expert on the copyright implications of text data mining in the machine learning and AI context. Charlotte’s scholarship focuses on the implications of information privacy, cybersecurity, and artificial intelligence for the global health care industry. For further information about the Roundtable, please email either: Matthew Sag (msag@luc.edu) or Charlotte Tschider (ctschider@luc.edu).



NEH grant awarded to build legal literacies for text data mining

I am thrilled to share the news that the National Endowment for the Humanities (NEH) has awarded a $165,000 grant to a team of legal experts, librarians, and scholars who will help humanities researchers and staff navigate complex legal questions in cutting-edge digital research. The team is led by UC Berkeley, but involves several other leading universities, including Loyola Law Chicago.

The NEH has agreed to support an Institute for Advanced Topics in the Digital Humanities to help key stakeholders learn to better navigate legal issues in text data mining. Thanks to the NEH’s $165,000 grant,  a national team (identified below) from more than a dozen institutions and organizations will run a summer institute to teach humanities researchers, librarians, and research staff how to confidently navigate the major legal issues that arise in text data mining research. 

Our institute is aptly called Building Legal Literacies for Text Data Mining (Building LLTDM), and will run from June 23-26, 2020 in Berkeley, California

Rachael Samberg of UC Berkeley Library’s Office of Scholarly Communication Services was our fearless leader in the grant proposal, Rachael’s amazing leadership and dedication can’t be overstated! More details on the grant can be found in Rachael Samberg’s post. But to give you some idea of the significance of this grant, here are a few comments from team members:

Building LLTDM team member Matthew Sag, a law professor at Loyola University Chicago School of Law and leading expert on copyright issues in the digital humanities, said he is “excited to have the chance to help the next generation of text data mining researchers open up new horizons in knowledge discovery. We have learned so much in the past ten years working on HathiTrust [a text-minable digital library] and related issues. I’m looking forward to sharing that knowledge and learning from others in the text data mining community.” 

Team member Brandon Butler, a copyright lawyer and library policy expert at the University of Virginia, said, “In my experience there’s a lot of interest in these research methods among graduate students and early-career scholars, a population that may not feel empowered to engage in “risky’ research. I’ve also seen that digital humanities practitioners have a strong commitment to equity, and they are working to build technical literacies outside the walls of elite institutions. Building legal literacies helps ease the burden of uncertainty and smooth the way toward wider, more equitable engagement with these research methods.”

Kyle K. Courtney of Harvard University serves as Copyright Advisor at Harvard Library’s Office for Scholarly Communication, and is also a Building LLTDM team member. Courtney added, “We are seeing more and more questions from scholars of all disciplines around these text data mining issues. The wealth of full-text online materials and new research tools provide scholars the opportunity to analyze large sets of data, but they also bring new challenges having to do with the use and sharing not only of the data but also of the technological tools researchers develop to study them. I am excited to join the Building LLTDM team and help clarify these issues and empower humanities scholars and librarians working in this field.”

Megan Senseney, Head of the Office of Digital Innovation and Stewardship at the University of Arizona Libraries reflected on the opportunities for ongoing library engagement that extends beyond the initial institute. Senseney said that, “Establishing a shared understanding of the legal landscape for TDM is vital to supporting research in the digital humanities and developing a new suite of library services in digital scholarship. I’m honored to work and learn alongside a team of legal experts, librarians, and researchers to create this institute, and I look forward to integrating these materials into instruction and outreach initiatives at our respective universities.”

Team Members

  • Rachael G. Samberg (University of California, Berkeley) (Project Director)
  • Scott Althaus (University of Illinois, Urbana-Champaign)
  • David Bamman (University of California, Berkeley)
  • Sara Benson (University of Illinois, Urbana-Champaign)
  • Brandon Butler (University of Virginia)
  • Beth Cate (Indiana University, Bloomington)
  • Kyle K. Courtney (Harvard University)
  • Maria Gould (California Digital Library)
  • Cody Hennesy (University of Minnesota, Twin Cities)
  • Eleanor Koehl (University of Michigan)
  • Thomas Padilla (University of Nevada, Las Vegas; OCLC Research)
  • Stacy Reardon (University of California, Berkeley)
  • Matthew Sag (Loyola University Chicago)
  • Brianna Schofield (Authors Alliance)
  • Megan Senseney (University of Arizona)
  • Glen Worthey (Stanford University)

Extended Readings on Copyright

After teaching copyright law based on my own materials for several years now I have decided to release my reading materials under a creative commons license. You can find these materials on my website at https://matthewsag.com/eroc/.

These Extended Readings on Copyright can be used as a textbook or as individual modules to supplement a textbook. Unlike a regular textbook, I don’t pretend that every important issue in copyright is addressed in these materials. The modules are arranged in the order that I teach them, but most can be used in any sequence. You should consider the current offering as a Beta version. I will post additional modules and revise the existing ones on a continual basis, major revisions will be noted on this website.

Chicago Marathon 2019

I am running the 2019 Chicago Marathon in honor of my sister Rebecca who died of pancreatic cancer late last year. Rebecca’s death is incredibly sad, but her life is worth celebrating. Something else worth celebrating is that cancer deaths have declined 20 percent in the US since the early 1990s.

We have a long way to go but we are actually making progress.

The American Cancer Society supports research, treatment, prevention, and education efforts. Please help me to help them by donating to the ACS and together, we can finish the fight against cancer!

You can support my running of the 2019 Chicago Marathon for the American Cancer Society at this address: (http://main.acsevents.org/goto/MattSag) or by mail.

IPSC 2018 Slides from my talk on Legal Infrastructure for Text Data Mining

I presented my working paper on the legal infrastructure for text data mining at IPSC yesterday and I promised to post my slides. Here it is: Public, Matthew Sag, Legal Infrastructure for TDM (IPSC August 2018). I won’t be posting a draft online for a while because I want to get more feedback from people actually working in this area. But if you would like an advanced draft, please email me.

What is TDM?