Artificial Intelligence and Law

, Volume 18, Issue 4, pp 459–479

A new tangible user interface for machine learning document review

  • Caroline Privault
  • Jacki O’Neill
  • Victor Ciriza
  • Jean-Michel Renders
Article

DOI: 10.1007/s10506-010-9090-z

Cite this article as:
Privault, C., O’Neill, J., Ciriza, V. et al. Artif Intell Law (2010) 18: 459. doi:10.1007/s10506-010-9090-z

Abstract

This paper describes a tool for assisting lawyers and paralegal teams during document review in eDiscovery. The tool combines a machine learning technology (CategoriX) and advanced multi-touch interface capable of not only addressing the usual cost, time and accuracy issues in document review, but also of facilitating the work of the review teams by capitalizing on the intelligence of the reviewers and enabling collaborative work.

Keywords

eDiscoveryLitigationDocument reviewMachine learningCategorizationClusteringTangible User InterfaceTouch-screenUser-interface design

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Caroline Privault
    • 1
  • Jacki O’Neill
    • 1
  • Victor Ciriza
    • 1
  • Jean-Michel Renders
    • 1
  1. 1.Xerox Research Center EuropeMeylanFrance