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Automating Contract Law

51 Pages Posted: 24 Sep 2008  

George S. Geis

University of Virginia School of Law

Date Written: June 1, 2008

Abstract

The study of contract law is undergoing a difficult transition as it moves from the theoretical to the empirical. Over the past few decades scholars have focused largely on developing economic theories that offer a normative approach to setting the legal rules governing voluntary exchange. The time has now come to test whether these theories provide a meaningful basis for choosing our laws - in other words, to ask whether empirical data supports the theoretical models that contracts scholars have posited. Unfortunately, this type of empirical analysis has proven exceptionally difficult to conduct, and some commentators are beginning to question whether it will ever be possible to test and revise our economic theories of contract in a meaningful manner. Yet the problem of harnessing information to support complex decisions is not unique to contract law. This Essay explores the possibility that recent technological developments from the field of organizational knowledge management - including advances in meaning-based computing algorithms - will soon make it easier to conduct empirical work in contract law on a much larger scale.

Keywords: contract law, empirical analysis, knowledge management

JEL Classification: K12

Suggested Citation

Geis, George S., Automating Contract Law (June 1, 2008). New York University Law Review, Vol. 83, No. 2, 2008. Available at SSRN: https://ssrn.com/abstract=1272703

George S. Geis (Contact Author)

University of Virginia School of Law ( email )

580 Massie Road
Charlottesville, VA 22903
United States

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