Study

This course will cover a number of intersections between the law and the people and institutions who constitute the world of the visual arts, including artists, museums, collectors, dealers, and auctioneers. The course will also cover non-legal material geared to shaping practices of art market participants, such as codes and guidelines adopted by art-museum associations, as well as some relevant literature from other academic disciplines. Specific topics will include: (1) contexts in which a legal institution must determine whether a particular object is a work of "art" or art of a particular type; (2) artists' rights, including statutory and non-statutory moral rights and resale rights; (3) problems of authenticity; (4) the legal rights and duties of auctioneers, art dealers, and other intermediaries; (5) the legal structure of art museums, including issues of internal management and governance; (6) stolen art, including objects looted during World War II; and (7) developments in law and industry practice relevant to "cultural heritage," the association of particular objects with particular places or societies.

Students will be required to participate in class discussions, and will have the option of writing a 25-30-page research paper OR taking a take-home exam. Paper topics must be approved by the instructor, who will be glad to make suggestions (some of which will involve local field research).

There are no prerequisites for the course. Although some background in intellectual property (copyright and trademark law) would be helpful, none is required. A set of readings will be distributed prior to the first meeting of the class. Before then, a complete updated syllabus will be posted.

The course will survey the legal issues raised by cyber-related crime. The bulk of the course will be organized around two overarching themes: (1) substantive criminal law (i.e., the scope, structure, and limitations of the criminal laws that reach cyber-related crime); and (2) criminal procedure (i.e., the scope, structure, and limitations of the privacy laws and constitutional principles that regulate law enforcement investigations of cyber-related crime).  Along the way, we will also consider topics that frequently arise in cyber-related investigations and prosecutions, such as:  jurisdictional issues (e.g., federal/state dynamics and international cooperation in collecting evidence); national security considerations (e.g., state-sponsored intrusions and IP theft, terrorists’ use of the internet, government surveillance); and encryption.  We will make regular use of contemporary case studies, including several drawn from my own experience in the national security arena. 

This course will provide an introduction to the dynamic and evolving field of cyber law and policy.  The course will be team-taught by multiple instructors with expertise in various government and industry sectors. The goal is to introduce students to the legal and policy frameworks that guide lawyers and decision-makers in a world of rapid technological change, with a primary emphasis on cybersecurity and privacy. We will discuss today’s threat landscape and approaches to data breaches, cybercrime by state and non-state actors, and cyberwarfare. We will also consider the legal and policy issues surrounding the collection and use of personal data, with a focus on both domestic and international data privacy protections. Other topics will also be explored, such as the impact of emerging technologies and markets (e.g., machine learning, digital currencies, platform media) and the ethical responsibilities of lawyers. Real-world case studies will be employed to allow students to weigh in on some of the most pressing issues of our time.   This course is introductory in nature and no technical background is necessary.

Note: Students who have taken Law 609, Readings in Cyber Law with Stansbury, may not take Law 316, Intro to Cyber Law. 

This class offers an introduction to the law of trademark and unfair competition. Whether or not students intend to specialize in trademark law, a basic understanding of its rules will better enable them to advise clients who wish to protect their own marks, as well as those facing claims that they have infringed someone else’s mark. No technical background is needed. Trademarks include brand names and logos, and can also extend to other features that identify the source of a product for its consumers – including colors, packaging, and design – when they meet certain requirements. The course will begin with the requirements for obtaining trademark protection: distinctiveness, use in commerce, special rules for trade dress, and various bars to protection such as genericity and functionality. It will then cover confusion-based trademark infringement, secondary liability, anti-dilution, statutory and common law defenses, false advertising, and cybersquatting. Could a Utah theme park called “Evermore” stop Taylor Swift from calling her album “Evermore”? Did Lil Nas X’s Satan shoes infringe Nike’s trademarks? With the proliferation of craft brews, are we running out of brand names for beer, particularly pun-based “hoptions”? The course will address these and other pressing questions.

Artificial intelligence is on a tremendous growth trajectory and is being developed, adopted and used for many purposes throughout society.  From a legal and policy perspective, AI presents many interesting and complex issues because the technological developments have greatly outpaced the legal, ethical, and policy developments.  One of the important questions centers on what legal and policy frameworks and practices are appropriate to build an ecosystem of trust that will help ensure citizens and other stakeholders that artificial intelligence will benefit them and is being developed and deployed in an ethical, safe, reliable and responsible manner (the “Legal and Policy Framework Question”).  Policymakers and other stakeholders around the globe are grappling with this Legal and Policy Framework Question.  As the discussions unfold, organizations also are designing their own practices for operationalizing trustworthy or ethical artificial intelligence.

The goal of the seminar is to give students a foundation in the emerging AI laws and policies and insight on the broader process of how laws and policies need to adapt for significant technological changes.  This seminar will explore in detail several approaches currently being considered to answer the Legal and Policy Framework Question, including regulatory approaches, standards, soft law, and self-regulation. As the students study various approaches, they will be asked to consider several sub-questions, such as (a) how the AI legal and policy framework should be calibrated to address risk, (b) the extent to which the framework should be sector specific or apply across industries, (c) which frameworks enable society to capitalize on AI’s benefits and mitigate potential risks, and (d) what is the optimal level of cross-border harmonization and how best to achieve it.   The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law and intellectual property and proprietary rights matters.

Artificial intelligence (AI) increasingly is used to make important decisions that affect individuals and society. A particularly pressing area of concern has been in criminal cases, in which a person’s life, liberty, and public safety can be at stake. In the United States and globally, despite concerns that technology may deepen pre-existing racial disparities and overreliance on incarceration, black box AI has proliferated in areas such as: DNA mixture interpretation; facial recognition; recidivism risk assessments; and predictive policing.

This two-credit seminar will include academic work regarding several of those types of uses of AI in criminal justice, as well as some of the early judicial opinions ruling on such evidence. We will read leading work on the rules of evidence implicated by AI, what constitutional criminal procedure rules are at stake, and we will engage with how these technologies work and are evolving. We will also attend, and comment on, a portion of a timely judicial conference on expert evidence on Friday, Jan. 26, and a longer set of discussions with EU experts on AI on Saturday, January 27.

There are no prerequisites, but a course in evidence or in criminal procedure would be helpful. Students will write a 3-5 page response paper to the portion of the conference that they attend and a 20- page research and policy paper, with presentations in class on each student’s work at the end of the semester.

This seminar introduces trade secrecy doctrine and examines the most important policy contexts in which trade secrecy are arising today. No background knowledge is required. However, students must be prepared to be quick studies of various areas of technology and law. Of the various U.S. intellectual property regimes, trade secrecy is perhaps the most doctrinally elusive. Historically a common law tort that also borrowed from property and contract, trade secrecy has become codified in state, federal, and international regimes. The codification of trade secrecy doctrine has coincided with increasing recognition that it is often the most important mechanism by which firms protect returns on innovation and/or business investment. Notably, trade secrecy (and secrecy more generally) is becoming increasingly important not only for private firms, but also for national and regional innovation and security strategies. This seminar begins with an introduction to the trade secret doctrinal canon (including a discussion of how trade secrecy intersects with patent, copyright, and data exclusivity protection). It then discusses empirical evidence on uses of trade secrecy. Next, it considers various policy contexts, ranging from cybercrime and data regulation to employment and public administration. The seminar concludes by examining frontier technology areas in which trade secrecy plays a prominent role. These include machine learning and biopharmaceutical manufacturing.

Patents, trademarks, copyrights, and trade secrets are the currency of an innovation economy. Each of these forms of intellectual property may be bought and sold, licensed, or used as security. How each is used will depend on the business context; the needs of a start-up company being far different from those of a multinational corporation. This course will focus on intellectual property transactions in various business contexts, including: maximizing value and assessing risks; using intellectual property in financing start-ups; protecting trade secrets; employment issues related to intellectual property; intellectual property licensing; and intellectual property in mergers, acquisitions and bankruptcy.

Data often is referred to as the “new oil” or the “new gold,” given its potential to help unlock many economic and social benefits ranging from making industries more innovative and efficient to aiding in drug discovery, combatting climate change, and identifying and addressing social disparities.  The exponential growth of data has enhanced the need to develop robust data governance and data sharing practices, which can implicate a broad range of legal and policy issues, including privacy, cybersecurity, intellectual property, antitrust, corporate, and emerging AI policies.  Since many U.S. organizations collect and process data in multiple countries, data governance and sharing systems often need to factor in the laws of multiple jurisdictions.The goal of the seminar is to give students a foundation in the key legal and policy issues shaping data governance and data sharing practices, and insight on how organizations are operationalizing data governance and data sharing in the quickly evolving legal environment.  The course addresses relevant US laws and policies as well as select international laws and policies in order to help prepare students to address data governance and sharing practices that extend across certain jurisdictions.  To accomplish these learning objectives, the seminar begins with an overview of data governance and a series of classes focusing on legal and policy issues implicated by data governance.  Next, the seminar includes a series of classes focused on data sharing, including emerging laws and policies promoting data sharing and contractual strategies and challenges for implementing data sharing.  Finally, the course will explore how policymakers are turning to certain technology solutions to help address competing legal and policy concerns such as protecting privacy, on the one hand, and promoting data sharing and transparency, on the other.

Today, thanks to the internet, everyone is a publisher. This class will examine the regulation of communications media, including newspapers, broadcast media, social media, and internet content generally. It will survey the First Amendment principles underpinning protection for speech and address current events and ongoing debates about the media, including “fake news,” blockbuster defamation cases, and social media content moderation. This class will also cover topics specific to the practice of media lawyers, such as pre-publication review, prior restraints on speech, defending subpoenas, reporters’ privilege, and access to information. Students will be assessed on their completion of three written projects.