Real property owners across the country have been targeted by scammers who prepare deeds purporting to convey title to property the scammers do not own. Sometimes, the true owners are entirely unaware of these bogus transfers. In other instances, the scammers use misrepresentation to induce unsophisticated owners to sign documents they do not understand.

Property doctrine protects owners against forgery and fraud—the primary vehicles scammers use in their efforts to transfer title. Owners enjoy protection not only against the scammers themselves, but generally against unsuspecting purchasers to whom the scammers transfer purported title.

Recovery of title, however, involves costs and delays that are difficult to bear, especially for victims without significant resources—often the favorite targets of scammers. Legislators have proposed a variety of reforms to make unauthorized transfers more difficult. Most of the proposed reforms, however, would do little to ease the financial burden on victims. Victims cannot generally rely on title insurance because the standard title insurance policy does not protect the insured against title defects that arise after issuance of the policy. Requiring title insurers to cover post-policy forgery and fraud would ease the burden on victims without significantly increasing costs to title insurers.

In late 2017, the #MeToo movement swept through the United States as individuals from all backgrounds and walks of life revealed their experiences with sexual abuse and sexual harassment. After the #MeToo movement, many scholars, advocates, and policymakers posited that the watershed moment would prompt changes in the ways in which sexual harassment cases were handled. This Article examines the impact the #MeToo movement has had on judicial decisionmaking. Our hypothesis is that the #MeToo movement’s increase in public awareness and political attention to experiences of sexual misconduct should lead to more pro-claimant voting in federal courts at the district and courts of appeals levels.

For district courts, we find that the probability of a pro-employee ruling in a district court increased drastically after November 1, 2017. However, while pro-employee rulings increased in district courts during the #MeToo era, pro-employee rulings decreased in circuit courts during this time period. Our findings suggest that the #MeToo movement—an extralegal social movement—impacted legal rulings that occurred in its wake before district courts but courts of appeals were more restrained in their reaction to the movement. Importantly, the law and legal standards in place during the time period of our study did not meaningfully change. In short, the #MeToo movement had a statistically significant impact on rulings from district court judges.

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of the Warhol framework. This article assesses the potential fair use analysis for generative AI applications in light of Warhol’s analytical framework. The central question in Warhol is the scope of transformative use versus a use that is derivative and which supplants a market for the original copyrighted work. Whether the use of copyrighted material to “train” AI programs and the products of AI programs are likely to found to be transformative in light of the Warhol framework is an intensely factual inquiry. This article concludes that the use of copyrighted material as inputs for training AI programs is — by itself—likely to be found to be a transformative fair use in most circumstances. The more difficult question is how AI outputs are analyzed. Fair use is necessarily a case-by-case inquiry. In light of cases like Warhol and Google v. Oracle, the analysis will turn on a series of considerations that are identified in this article. It is likely that the fair use question will be litigated frequently in the context of AI outputs, which can involve myriad factual scenarios.