Book contents
- Legal Informatics
- Legal Informatics
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Part I Introduction to Legal Informatics
- Part II Legal Informatics
- Part III Use Cases in Legal Informatics
- A. Contracts and Patents
- B. Litigation and E-discovery
- 3.5 The Core Concepts of E-discovery
- 3.6 Predictive Coding in E-discovery and the NexLP Story Engine
- 3.7 Examining Public Court Data to Understand and Predict Bankruptcy Case Results
- C. Legal Research, Government Data, and Access to Legal Information
- D. Dispute Resolution and Access to Justice
- Part IV Legal Informatics in the Industrial Context
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
- Legal Informatics
- Legal Informatics
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Part I Introduction to Legal Informatics
- Part II Legal Informatics
- Part III Use Cases in Legal Informatics
- A. Contracts and Patents
- B. Litigation and E-discovery
- 3.5 The Core Concepts of E-discovery
- 3.6 Predictive Coding in E-discovery and the NexLP Story Engine
- 3.7 Examining Public Court Data to Understand and Predict Bankruptcy Case Results
- C. Legal Research, Government Data, and Access to Legal Information
- D. Dispute Resolution and Access to Justice
- Part IV Legal Informatics in the Industrial Context
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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- Chapter
- Information
- Legal Informatics , pp. 335 - 354Publisher: Cambridge University PressPrint publication year: 2021