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Articles 1 - 8 of 8

Full-Text Articles in Law

Foreword, David L. Schwartz, Kat M. Albrecht Sep 2024

Foreword, David L. Schwartz, Kat M. Albrecht

Northwestern University Law Review

Offering a critique is often easier than proposing a solution. This refrain echoed frequently in the months and years that we spent developing what would become the Systematic Content Analysis of Litigation EventS (SCALES) Open Knowledge Network, a project born from the collaborative efforts of experts across various disciplines.


Access To Justice As Access To Data, Tanina Rostain Sep 2024

Access To Justice As Access To Data, Tanina Rostain

Northwestern University Law Review

This Keynote Address, delivered in celebration of the launch of SCALES, discusses the importance of making local and state court data available for research on the functioning of the American civil justice system. It describes the regulatory and administrative challenges of obtaining high-quality data from courts. It calls for a concerted effort among researchers and policymakers to develop open-source technologies for the development of case management systems and data infrastructure. And it urges researchers to foster a collaborative research ecosystem based on broadly sharing court data.


Settlement As Construct: Defining And Counting Party Resolution In Federal District Court, Charlotte S. Alexander, Nathan Dahlberg, Anne M. Tucker Sep 2024

Settlement As Construct: Defining And Counting Party Resolution In Federal District Court, Charlotte S. Alexander, Nathan Dahlberg, Anne M. Tucker

Northwestern University Law Review

Most civil cases settle. Yet generating a definitive settlement rate presents complex definitional and empirical problems, both in what should count as a settlement and how to count it. This Essay makes three contributions to better understanding and defining settlement. First, we propose a flexible, empirically informed, operationalizable definition of settlement as party resolution. Second, we exploit a new federal litigation data source to count party resolutions using machine learning models trained on 11 million docket sheet entries. Third, we offer new findings on party resolution frequency and distribution in the federal courts. Settlement is more widely and differently deployed …


Lawyerless Litigants, Filing Fees, Transaction Costs, And The Federal Courts: Learning From Scales, Judith Resnik, Henry Wu, Jenn Dikler, David T. Wong, Romina Lilollari, Claire Stobb, Elizabeth Beling, Avital Fried, Anna Selbrede, Jack Sollows, Mikael Tessema, Julia Udell Sep 2024

Lawyerless Litigants, Filing Fees, Transaction Costs, And The Federal Courts: Learning From Scales, Judith Resnik, Henry Wu, Jenn Dikler, David T. Wong, Romina Lilollari, Claire Stobb, Elizabeth Beling, Avital Fried, Anna Selbrede, Jack Sollows, Mikael Tessema, Julia Udell

Northwestern University Law Review

Two Latin phrases describing litigants—pro se (for oneself) and in forma pauperis (IFP, as a poor person)—prompt this inquiry into the relationship between self-representation and requests for filing fee waivers. We sketch the governing legal principles for people seeking relief in the federal courts, the sources of income of the federal judiciary, the differing regimes to which Congress has subjected incarcerated and nonincarcerated people filing civil lawsuits, and analyses enabled by SCALES, a newly available database that coded 2016 and 2017 federal court docket sheets. This Essay’s account of what can be learned and of the data gaps demonstrates the …


The Scales Project: Making Federal Court Records Free, David L. Schwartz, Kat M. Albrecht, Adam R. Pah, Christopher A. Cotropia, Amy Kristin Sanders, Sarath Sanga, Charlotte S. Alexander, Luís A.N. Amaral, Zachary D. Clopton, Anne M. Tucker, Thomas W. Gaylord, Scott G. Daniel, Nathan Dahlberg Sep 2024

The Scales Project: Making Federal Court Records Free, David L. Schwartz, Kat M. Albrecht, Adam R. Pah, Christopher A. Cotropia, Amy Kristin Sanders, Sarath Sanga, Charlotte S. Alexander, Luís A.N. Amaral, Zachary D. Clopton, Anne M. Tucker, Thomas W. Gaylord, Scott G. Daniel, Nathan Dahlberg

Northwestern University Law Review

Federal court records have been available online for nearly a quarter century, yet they remain frustratingly inaccessible to the public. This is due to two primary barriers: (1) the federal government’s prohibitively high fees to access the records at scale and (2) the unwieldy state of the records themselves, which are mostly text documents scattered across numerous systems. Official datasets produced by the judiciary, as well as third-party data collection efforts, are incomplete, inaccurate, and similarly inaccessible to the public. The result is a de facto data blackout that leaves an entire branch of the federal government shielded from empirical …


Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites May 2024

Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites

University of Miami Law Review

Like many courts across the country in 2023, courts in the Eleventh Circuit were met with novel claims challenging ChatGPT and other artificial intelligence tools. These cases raise common questions: How should courts treat the speech of machines? When a machine generates allegedly defamatory material, who is the speaker—mortal or machine? When a machine generates expressive creations, who is the artist, and does that shape copyright eligibility? When a machine makes assertions about reality through lab analyses and other forensic reports, who is the accuser, and how does the answer impact a defendant’s rights at trial? Should those answers stem …


Artificial Intelligence And Legal Malpractice Liability, Vincent R. Johnson Jan 2024

Artificial Intelligence And Legal Malpractice Liability, Vincent R. Johnson

St. Mary's Journal on Legal Malpractice & Ethics

No abstract provided.


Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin Jan 2024

Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin

Seattle University Law Review

Artificial intelligence (AI) and other new technologies are increasingly influencing the operations, business models, and structures of companies. This Article focuses on three emerging phenomena that impact significant aspects of corporate governance and regulation: (1) perforation and blurring of firm boundaries through the ubiquitous use of externally provided AI services; (2) businesses engaging in strategic access and leveraging of critical resources held by third parties without owning them; and (3) the unusual hybrid role of online platforms between market facilitators and markets themselves. The Article explores how these phenomena challenge traditional views of firms as separate units, with technology leading …