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Full-Text Articles in Law

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale Jan 2018

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale

Faculty Scholarship

No abstract provided.


Law's Evolving Emergent Phenomena: From Rules Of Social Intercourse To Rule Of Law Society, Brian Z. Tamanaha Jan 2018

Law's Evolving Emergent Phenomena: From Rules Of Social Intercourse To Rule Of Law Society, Brian Z. Tamanaha

Scholarship@WashULaw

Law involves institutions rooted in the history of a society that evolve in relation to surrounding social, psychological, cultural, economic, political, technological, and ecological influences. Law must be understood naturalistically, historically, and holistically. In my usage, naturalism views humans as social animals with natural traits and requirements, historicism presents law as historical manifestations that change over time, and holism sees law within social surroundings. These insights inform my perspective in A Realistic Theory of Law. While these propositions might seem obvious, few works in contemporary jurisprudence build around them.

In this essay, I draw on the notion of emergence …


Doctrinal Reasoning As A Disruptive Practice, Jessie Allen Jan 2018

Doctrinal Reasoning As A Disruptive Practice, Jessie Allen

Articles

Legal doctrine is generally thought to contribute to legal decision making only to the extent it determines substantive results. Yet in many cases, the available authorities are indeterminate. I propose a different model for how doctrinal reasoning might contribute to judicial decisions. Drawing on performance theory and psychological studies of readers, I argue that judges’ engagement with formal legal doctrine might have self-disrupting effects like those performers experience when they adopt uncharacteristic behaviors. Such disruptive effects would not explain how judges ultimately select, or should select, legal results. But they might help legal decision makers to set aside subjective biases.