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3.7 - Examining Public Court Data to Understand and Predict Bankruptcy Case Results

from B. - Litigation and E-discovery

Published online by Cambridge University Press:  04 February 2021

Daniel Martin Katz
Affiliation:
Chicago-Kent College of Law
Ron Dolin
Affiliation:
Harvard Law School, Massachusetts
Michael J. Bommarito
Affiliation:
Stanford CodeX
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Summary

Understanding what happens at scale in our judicial systems seems a relatively simple problem, but has proved difficult in the past due to the inability of practitioners to access the needed information. In this chapter, we examine bankruptcy case information made available by the Federal Judicial Center in 2017 and use that data to understand the difficulty Chapter 13 bankruptcy filers have in obtaining their bankruptcy discharge, the potential factors that correlate with obtaining a discharge, and to predict how likely a specific case is to succeed. We discuss a project conducted using data from over 700,000 cases, as well as examine much smaller data sets suitable for manipulation using Excel.

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Legal Informatics , pp. 335 - 354
Publisher: Cambridge University Press
Print publication year: 2021

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