Michael Livermore

Law Search in the Age of the Algorithm

CO-AUTHORS Peter Beling, Keith Carlson, Faraz Dadgostari, Mauricio Guim, and Daniel N. Rockmore
PUBLISHER
Michigan State Law Review
DATE
2021
 

Abstract

The process of searching for relevant legal materials is fundamental to legal reasoning. However, despite its enormous practical and theoretical importance, law search has not been given significant attention by scholars. In this Article, we define the problem of law search and examine the consequences of new technologies capable of automating this core lawyerly task. We introduce a theory of law search in which legal relevance is a sociological phenomenon that leads to convergence over a shared set of legal materials and explore the normative stakes of law search. We examine ways in which law scholars can understand empirically the phenomenon of law search, argue that computational modeling is a valuable epistemic tool in this domain, and report the results from a multi-year, interdisciplinary effort to develop an advanced law search algorithm based on human-generated data. Finally, we explore how policymakers can manage the challenges posed by new machine learning-based search technologies. 

 

 

 

Citation

Peter Beling et al., Law Search in the Age of the Algorithm, Michigan State Law Review (2021).
 

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