Legal Profession Commons^™

Professional Judgment In An Era Of Artificial Intelligence And Machine Learning, Frank A. Pasquale

Faculty Scholarship

Though artificial intelligence (AI) in healthcare and education now accomplishes diverse tasks, there are two features that tend to unite the information processing behind efforts to substitute it for professionals in these fields: reductionism and functionalism. True believers in substitutive automation tend to model work in human services by reducing the professional role to a set of behaviors initiated by some stimulus, which are intended to accomplish some predetermined goal, or maximize some measure of well-being. However, true professional judgment hinges on a way of knowing the world that is at odds with the epistemology of substitutive automation. Instead of …

"The Hindrance Of A Law Degree": Justice Kagan On Law And Experience, Laura Krugman Ray

Maryland Law Review Online

No abstract provided.

Four Futures Of Legal Automation, Frank A. Pasquale, Glyn Cashwell

Faculty Scholarship

Simple legal jobs (such as document coding) are prime candidates for legal automation. More complex tasks cannot be routinized. So far, the debate on the likely scope and intensity of legal automation has focused on the degree to which legal tasks are simple or complex. Just as important to the legal profession, however, is the degree of regulation or deregulation likely in the future.

Situations involving conflicting rights, unique fact patterns, and open-ended laws will remain excessively difficult to automate for an extended period of time. Deregulation, however, may effectively strip many persons of their rights, rendering once-hard cases simple. …