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A decision support system for liability in civil litigation: a case study from an insurance company

Zhang, Wen, Dunkley, Andrew, Kanabar, Urvi, Elliott, David and Wynn, Henry P. ORCID: 0000-0002-6448-1080 (2022) A decision support system for liability in civil litigation: a case study from an insurance company. Annals of Operations Research, 315 (2). 695 - 706. ISSN 0254-5330

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Identification Number: 10.1007/s10479-020-03905-0

Abstract

The use of statistical and AI methods in civil litigation is an area likely to expand. As with many areas of social science, the data requirements are high but complex, because of the complexity of the legal process and the nature of the causal connections. This paper looks at the early stage of the process where the initial establishment of liability acts as a legal triage which affects the route through the litigation process. A simple model is used in which the training set is the assessment of the probability of liability given hypothetical scenarios in road traffic accidents. The model is augmented by additional “weight of evidence” assessments. The model, once built, is used as a decision support system for claim handlers on a routine basis. The methods can be seen as a way of utilising a special type of expert judgment elicitation.

Item Type: Article
Official URL: https://www.springer.com/journal/10479
Additional Information: © 2021 The Authors, under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature
Divisions: Centre for Analysis of Time Series
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
H Social Sciences > HA Statistics
K Law > K Law (General)
Date Deposited: 14 Sep 2022 14:39
Last Modified: 28 Feb 2024 07:54
URI: http://eprints.lse.ac.uk/id/eprint/116615

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