Legal professionals are naturally reluctant to trust fully automated techniques for privilege review. There are certainly cases in which fully manual review is a rational choice, but there are also cases in which reliance on some degree of automation is rational. This paper proposes a model that can help practitioners to make rational choices, and to explain those choices once they have been made. The model balances two factors: the cost of performing review, and the risk of incurring a settlement, either from revealing privileged content or from failing to produce nonprivileged content.

When is it rational to review for privilege?

Sebastiani F
2017

Abstract

Legal professionals are naturally reluctant to trust fully automated techniques for privilege review. There are certainly cases in which fully manual review is a rational choice, but there are also cases in which reliance on some degree of automation is rational. This paper proposes a model that can help practitioners to make rational choices, and to explain those choices once they have been made. The model balances two factors: the cost of performing review, and the risk of incurring a settlement, either from revealing privileged content or from failing to produce nonprivileged content.
2017
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
DESI VII Workshop on Using Advanced Data Analysis in eDiscovery & Related Disciplines to Identify and Protect Sensitive Information in Large Collections
3
10
https://www.umiacs.umd.edu/~oard/desi7/papers/DO.pdf
Sì, ma tipo non specificato
12 June 2017
London, UK
e-discovery
DESI is a part of the International Conference on Artificial Intelligence and Law.
3
open
Oard, D W; Vinjumur, J K; Sebastiani, F
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/337337
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