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 technology-assisted review


The ethics of artificial intelligence

#artificialintelligence

Maura R. Grossman, JD, Ph.D., is a Research Professor in the Cheriton School of Computer Science, an Adjunct Professor at Osgoode Hall Law School, and an affiliate faculty member of the Vector Institute for Artificial Intelligence. She is also Principal at Maura Grossman Law, an eDiscovery law and consulting firm in Buffalo, New York. Maura is best known for her work on technology-assisted review, a supervised machine learning approach that she and her colleague, Computer Science Professor Gordon V. Cormack, developed to expedite review of documents in high-stakes litigation. She teaches Artificial Intelligence: Law, Ethics, and Policy, a course for graduate computer science students at Waterloo and upper-class law students at Osgoode, as well as the ethics workshop required of all students in the master's programs in artificial intelligence and data science at Waterloo. Artificial intelligence is an umbrella term first used at a conference in Dartmouth in 1956.


Humans Against the Machines: Is Predictive Coding Really Better Than Humans? – Part 1

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Technological advancements are significantly influencing the legal services landscape. At unprecedented rates, corporations, law firms, and state and federal enforcement agencies are accepting and adopting the use of advanced technology in legal matters, including automation, machine learning, and algorithm-driven data analytics. With respect to discovery, over the past decade, the expansion of technology-assisted review has been well documented and debated. The wide embrace of technology-assisted review – or "TAR" for short, has met with acclaim from clients and their counsel. It is essentially undisputed by now, for instance, that TAR has proven to help produce quality results, while also achieving quantifiable cost savings.