Litigation is one of the most powerful cost drivers in liability claims -- and predictive analytics is giving carriers a meaningful tool to reduce it.
Claims triage models trained on historical loss data can identify, at intake, which claims exhibit patterns associated with attorney involvement and extended litigation. Early identification enables proactive outreach, faster resolution offers, and assignment to experienced examiners who specialize in complex claims.
The economics are compelling. A claim resolved before attorney involvement typically closes faster and for significantly less than one that enters litigation. Even a modest reduction in litigation frequency produces material improvement in the combined ratio.
Building these models requires quality historical data, cross-functional collaboration between claims and analytics teams, and the workflow integration to act on model outputs at the point of first notice.
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