Study

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.

In an age where nearly every organization collects and uses data, lawyers must be data-savvy. Modern data challenges ask clients to navigate legal, technical, and mission considerations, often all at once. Machine learning and artificial intelligence add still more questions, even as organizations race to realize data’s potential.

This course focuses on data governance: how organizations and communities make decisions about data, code, and their missions, and the wide-ranging impact of those decisions. Students will learn about three foundational data governance models: how companies protect and manage access to data; how data is shared and reused for research purposes; and how public datasets are assembled and managed. The course will feature simulations and interactive exercises to help students apply these models and skills to real-world scenarios.

At the end of the class, students will gain an understanding of how the law defines and regulates data, and how regulatory frameworks for data differ from field to field. They will also gain foundational knowledge in organizational and multi-stakeholder governance, and how good governance principles might apply to data. Finally, they will gain experience designing and applying governance models for organizations and multi-stakeholder collaborations.

No technical background is necessary to take this class. The first few weeks will include an introduction to data, databases, and governance best practices.