Skip to main content

Summer Classes 2020

Summer Course Classifieds Grid (PDF) 

Health Care Fraud - Professor Valarie Blake

Our country is sharply divided over competing aims: how do we expand access to healthcare while also reining in government spending? One area where all agree that we can do better is in combating healthcare fraud, the wasteful and fraudulent practices accounting for a staggering $100-$170 billion annually. Healthcare fraud isn't simply a matter of accidental wrongful billing by hospitals or doctors-- we increasingly see organized crime families targeting healthcare money, and fraudulent healthcare practices were arguably the start of what is now the opioid epidemic.

Healthcare fraud is an ever-growing field with broad bipartisan support and increased federal funding. It requires skilled lawyers to fill a variety of roles: government prosecutors who seek to reclaim lost government funds, qui tam lawyers who bring suits for whistleblowers, risk management or general counsel lawyers, lawyers who craft policy, and lawyers who defend hospitals, physicians, insurers, drug and device makers. Students who take this course will gain necessary expertise in civil and criminal, state and federal laws in order to investigate fraud and abuse, shape policy, and ensure compliance by hospitals and other health care entities.

Students do not need any prior experience in healthcare law to take this course.

Artificial Intelligence and the Law - Professor Amy Cyphert

An algorithm fueled by machine learning helps determine how likely a defendant is to reoffend, and thus how long of a prison sentence she should have. A public high school buys a program from a software company to monitor its students’ online speech and discipline them for it. Lawyers hire firms that use big data to predict how a judge might rule in a particular case and even what kind of language in a motion might be most persuasive. These are not scenes from science fiction but rather real-world examples of artificial intelligence at work in our society and legal system. This course will help familiarize law students with the basics of artificial intelligence, including machine learning and algorithmic decision making. We will study ideas from computer science, data science, and philosophy. Students will also learn about the important (and sometimes troubling) ways artificial intelligence is being used in the criminal justice sector. We will focus on the difficulty of “arguing” with a machine, why explainability and interpretability matters, how deep fakes might impact the 2020 election, and whether an algorithm can be biased. Lawyers will increasingly be required to be familiar with these ideas to be effective advocates in almost any field, and this course will help them prepare for that future.

Social Media and the Law - Professor Erin Kelley

Lawyers need to know how social media can impact their practice in ways beyond marketing. This course will analyze foundational and current cases in several areas of law (e.g., freedom of speech, privacy), examine how social media can influence court proceedings ( e.g., evidence, jury selection), and build a base of knowledge to help you serve your future clients. This course utilizes written lecture, online group discussion, analysis of legal cases and other court documents, development of case briefs, and written analysis and application. No required text-book.

Masters of Litigation - Professor Jonathan Marshall

Course will consist of a series of case studies of major litigation. Through each case study, students will be exposed to strategies and best practices that were utilized to bring the case to conclusion. Along the way, students will be exposed to guest lecturers who were the actual participants in the selected cases. The goal of the course is to place litigation and litigation strategies into "context" to provide the student with a richer understanding of how cases are actually litigated.

Empirical Methods for Lawyers - Professor Will Rhee

Justice Oliver Wendell Holmes, Jr. famously wrote that while lawyers with expertise in the “rational study of law” and the “blackletter” law dominated the age, the lawyer of the future would have to be a master “of statistics.” Although this course will not make you a master of statistics, it shall provide you with a foundational understanding of core statistical concepts, essential not only for modern legal practice but also for life. Armed with this foundational knowledge, you then will be able to read and evaluate empirical work and master the specific empirical issues at stake in your particular cases, policy proposals, legislation, or regulations. Lawyers who are not afraid of numbers and statistics have a clear competitive advantage over lawyers who are afraid. The course covers the substantive equivalent of a college-level introductory statistics course (if you have already taken one, it will be a good review) through the An Adventure in Statistics graphic novel and explores empirical legal policy issues through readings and class discussions. No mathematics above algebra required.

Lawyers at the Movies - Professor Matthew Titolo

Through the viewing of films and open discussion, this course is designed to initiate reflection and introspection, while analyzing the struggles that arise in the pursuit of justice.

WVU LAW Facebook WVU LAW Twitter WVU LAW Instagram WVU LAW LinkedIn WVU LAW Youtube Channel