Law Commons^™

Driverless Cars And The Much Delayed Tort Law Revolution, Andrzej Rapaczynski

Faculty Scholarship

The most striking development in the American tort law of the last century was the quick rise and fall of strict manufacturers’ liability for the huge social losses associated with the use of industrial products. The most important factor in this process has been the inability of the courts and academic commentators to develop a workable theory of design defects, resulting in a wholesale return of negligence as the basis of products liability jurisprudence. This article explains the reasons for this failure and argues that the development of digital technology, and the advent of self-driving cars in particular, is likely …

Riley V. California And The Beginning Of The End For The Third-Party Search Doctrine, David A. Harris

Articles

In Riley v. California, the Supreme Court decided that when police officers seize a smart phone, they may not search through its contents -- the data found by looking into the call records, calendars, pictures and so forth in the phone -- without a warrant. In the course of the decision, the Court said that the rule applied not just to data that was physically stored on the device, but also to data stored "in the cloud" -- in remote sites -- but accessed through the device. This piece of the decision may, at last, allow a re-examination of …

Pursuit Of Profit Poisons Collaboration, Jacob S. Sherkow

Other Publications

The CRISPR–Cas9 patent battle demonstrates how overzealous efforts to commercialize technology can damage science.

Young Adulthood As A Transitional Legal Category: Science, Social Change, And Justice Policy, Elizabeth S. Scott, Richard J. Bonnie, Laurence Steinberg

Faculty Scholarship

In the past decade, much attention has focused on developmental brain research and its implications for the regulation of crime. Public and policy interest has been directed primarily toward juveniles. In light of recent research, courts and legislatures increasingly have rejected the punitive response of the 1990s and embraced a developmental approach to young offenders. Of particular importance in propelling this trend has been the framework offered by the U.S. Supreme Court in a series of Eighth Amendment opinions that have rejected harsh adult sentences for juveniles. These decisions, supported by adolescent brain research, rested on two empirically based principles: …

Protecting Products Versus Platforms, Jacob S. Sherkow

Articles & Chapters

Patents have long been the most important legal assets of biotech companies. Increasingly, however, biotech firms find themselves on one side of a divide: as either traditional product companies or platform companies. Given the differences between these two types of business models, the merits of intellectual property (IP) protection vary between them. This article explores how those differences relate to biotech startups and entrepreneurs seeking to protect their inventions.

Describing Drugs: A Response To Professors Allison And Ouellette, Jacob S. Sherkow

Articles & Chapters

Profs. Allison and Ouellette’s Article, How Courts Adjudicate Patent Definiteness and Disclosure, 65 Duke L.J.609 (2015), on courts’ adjudication of certain patent disputes presents some surprising data: pharmaceutical patents litigated to judgment fare substantially worse on written-description analyses if they are not part of traditional pioneer-generic litigation. This Response engages in several hypotheses for this disparity and examines the cases that make up Allison and Ouellette’s dataset. An analysis of these cases finds that the disparity can be best explained by technological and judicial idiosyncrasies in each case, rather than larger differences among pharmaceutical patent cases. This finding contextualizes …

A Machine Learning Classifier For Corporate Opportunity Waivers, Gabriel V. Rauterberg, Eric L. Talley

Faculty Scholarship

Rauterberg & Talley (2017) develop a data set of “corporate opportunity waivers” (COWs) – significant contractual modifications of fiduciary duties – sampled from SEC filings. Part of their analysis utilizes a machine learning (ML) classifier to extend their data set beyond the hand-coded sample. Because the ML approach is likely unfamiliar to some readers, and in the light of its great potential across other areas of law and finance research, this note explains the basic components using a simple example, and it demonstrates strategies for calibrating and evaluating the classifier.

Wide-Scale Small Unmanned Aircraft System Access To The National Airspace System, John Robbins, Brent Terwilliger, David Ison, Dennis Vincenzi

Publications

Expected revisions of federal policies and regulations for the operation and certification of small unmanned aircraft systems (sUAS) are anticipated to significantly increase the volume of traffic in the National Airspace System (NAS). By investigating critical needs of regulatory compliance and safety, as well as new advancements, it may be possible to identify strategies to address the most pressing concerns of sUAS integration. Findings and recommendations from this research are presented to highlight implications and possible solutions to urgent needs of UAS stakehold-ers, including industry, government, and academia.

Fmri And Lie Detection, Anthony D. Wagner, Richard J. Bonnie, Bj Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, Gideon Yaffe

Faculty Scholarship

Some studies have reported the ability to detect lies, with a high degree of accuracy, by analyzing brain data acquired using functional magnetic resonance imaging (fMRI). But is this new technology ready for its day in court?

This consensus knowledge brief from the MacArthur Foundation Research Network on Law and Neuroscience takes a closer look at the potential and pitfalls of fMRI lie detection techniques, providing insight into the areas of the brain involved in lying, the impact of memory on deception, how countermeasures may foil our efforts to detect lies, and factors that can create cause for concern about …

G2i Knowledge Brief: A Knowledge Brief Of The Macarthur Foundation Research Network On Law And Neuroscience, David L. Faigman, Anthony Wagner, Richard J. Bonnie, Bj Casey, Andre Davis, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, Gideon Yaffe

Faculty Scholarship

Courts are daily confronted with admissibility issues – such as in cases involving neuroscientific testimony – that sometimes involve both the existence of a general phenomenon (i.e., “G”) and the question of whether a particular case represents a specific instance of that general phenomenon (i.e., “i”).

Unfortunately, courts have yet to carefully consider the implications of “G2i” for their admissibility decisions. In some areas, courts limit an expert’s testimony to the general phenomenon. They insist that whether the case at hand is an instance of that phenomenon is exclusively a jury question, and thus not an appropriate subject of expert …

The Need For Annotated Corpora From Legal Documents, And For (Human) Protocols For Creating Them: The Attribution Problem, Vern R. Walker

Hofstra Law Faculty Scholarship

This paper argues that in order to make progress today in automating argumentation mining from legal documents, we have a critical need for two things. First, we need a sufficient supply of manually annotated corpora, as well as theoretical and experimental evidence that those annotated data are accurate. Second, we need protocols for effectively training people to perform the tasks and sub-tasks required to create those annotations. Such protocols are necessary not only for a team approach to annotation and for quality assurance of the finished annotations, but also for developing and testing software to assist humans in the process …