Law Commons^™

Crowdfunding's Impact On Start-Up Ip Strategy, Sean M. O'Connor

Articles

This Paper proceeds in Part I by reviewing the crowdfunding landscape and its potential benefits for start-ups, especially with regard to IP strategies. Part II examines the provisions of the JOBS Act and argues that the disclosure requirements of the CROWDFUND Act title will make the latter less attractive than other start-up financing options and may negatively affect start-ups’ IP strategies, in part by risking the disclosure of enabling aspects of patentable inventions.

Part III explores issues arising from the widespread involvement of many potentially unsophisticated investors who have no connection to the start-up. This contrasts with current unsophisticated investors ...

Penalty Default Licenses: A Case For Uncertainty, Kristelia A. García

Articles

Research on the statutory license for certain types of copyright-protected content has revealed an unlikely symbiosis between uncertainty and efficiency. Contrary to received wisdom, which tells us that in order to increase efficiency, we must increase stability, this Article suggests that uncertainty can actually be used to increase efficiency in the marketplace. In the music industry, the battle over terrestrial performance rights--that is, the right of a copyright holder to collect royalties for plays of a sound recording on terrestrial radio--has raged for decades. In June 2012, in a deal that circumvented the statutory license for sound recordings for the ...

The Capture Of International Intellectual Property Law Through The U.S. Trade Regime, Margot E. Kaminski

Articles

For years, the United States has included intellectual property ("IP") law in its free trade agreements. This Article finds that the IP law in recent U.S. free trade agreements differs subtly but significantly from U.S. IP law. These differences are not the result of deliberate government choices, but of the capture of the U.S. trade regime.

A growing number of voices has publicly criticized the lack of transparency and democratic accountability in the trade agreement negotiating process. But legal scholarship largely praises the 'fast track" trade negotiating system. This Article reorients the debate over the trade negotiating ...

Actavis, The Reverse Payment Fallacy, And The Continuing Need For Regulatory Solutions, Daniel A. Crane

Articles

The Actavis decision punted more than it decided. Although narrowing the range of possible outcomes by rejecting the legal rules at the extremes and opting for a rule of reason middle ground, the opinion failed to grapple with the most challenging issues of regulatory policy raised by pharmaceutical patent settlements. In particular, it failed to clearly delineate the social costs of permitting and disallowing patent settlements, avoided grappling with the crucial issues of patent validity and infringement, and erroneously focused on “reverse payments” as a distinctive antitrust problem when equally or more anticompetitive settlements can be crafted without reverse payments ...

Copyright Crime And Punishment: The First Amendment's Proportionality Puzzle, Margot Kaminski

Articles

The United States is often considered to be the most speech-protective country in the world. Paradoxically, the features that have led to this reputation have created areas in which the United States is in fact less speech protective than other countries. The Supreme Court's increasing use of a categorical approach to the First Amendment has created a growing divide between the US. approach to reconciling copyright and free expression and the proportionality analysis adopted by most of the rest of the world.

In practice, the U.S. categorical approach to the First Amendment minimizes opportunities for judicial oversight of ...

Machine Learning And Law, Harry Surden

Articles

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing well ...

Lost Classics Of Intellectual Property Law, Michael J. Madison

Articles

Santayana wrote, “Those who cannot remember the past are condemned to repeat it.” American legal scholarship often suffers from a related sin of omission: failing to acknowledge its intellectual debts. This short piece attempts to cure one possible source of the problem, in one discipline: inadequate information about what’s worth reading among older writing. I list “lost classics” of American scholarship in intellectual property law. These are not truly “lost,” and what counts as “classic” is often in the eye of the beholder (or reader). But these works may usefully be found again, and intellectual property law scholarship would ...