Research Professor has been named by Who’s Who Legal 2020.
The Thought Leaders in Litigation category aims to bring together the insight, expertise and wisdom of the world’s foremost lawyers and experts. Individuals in this category merit special mention not only because of their expertise and experience advising on some of the world’s most significant and cutting-edge matters, but also their ability to innovate and inspire.
This prestigious acknowledgement comes after Who’s Who Legal’s earlier .
Research Professor Grossman with her colleague Cheriton School of Computer Science Professor pioneered the use of — applying supervised machine learning to the task of expediting review of legal documents. Their work has been put to the test in a number of high-stakes matters, among them the task of as part of the electronic records of outgoing Governor Tim Kaine and, since then, classifying the electronic records of former Virginia Governors Warner and McDonnell.
More recently, Professors Grossman and Cormack applied their methodology to a new area — the .
The sheer volume of studies on COVID-19, along with studies on previous epidemics and pandemics, simply cannot be gathered and assessed quickly enough using traditional manual methods. To guide decisions by healthcare providers on the frontlines of care, Professors Grossman and Cormack , an essential step in preparing comprehensive systematic reviews. By expediting literature searches, these critically important systematic reviews were prepared in a matter of days, rather than the weeks or even months required when literature searches are conducted manually.
In addition to being a faculty member at the Cheriton School of Computer Science, Research Professor Grossman is an , an , and principal of Maura Grossman Law, an eDiscovery law and consulting firm based in Buffalo, New York. Before joining the University of À¶Ý®ÊÓƵ, Research Professor Grossman was of counsel at the prominent Manhattan law firm Wachtell, Lipton, Rosen & Katz. She also served as the , and is currently a .