Defense Complaint Analytics
Technology powered by Milliman
A one-of-a-kind solution to bolster defense strategy for mass tort litigation
Milliman Defense Complaint Analytics
Each year, more than 3,500 asbestos cases are filed in U.S. courts. Because plaintiffs frequently name dozens—or even hundreds—of defendants in a single complaint, those filings translate into an estimated 250,000 or more unique defendant-naming events annually. Parsing through these many complaints to determine the best course of action makes it difficult for defense teams to focus on the cases that matter.
Defense Complaint Analytics is a solution created by Milliman to analyze mass tort litigation data and equip corporate defense teams with the tools needed to efficiently manage complaints. The models are built on decades of historical claims data, grounded in AI-enhanced machine-learning models and supplemented with Milliman’s deep expertise in asbestos and other mass torts (talcum powder, PFAS, silica, glyphosate, and more).
Milliman’s models use information from the complaint to accurately classify the likely outcomes, better positioning defense teams to:
- Identify likely dismissals and high-risk claims at intake
- Reduce repetitive manual processes
- Enhance budgeting and reserve forecasting
- Prevent defense cost leakage
Solutions to assist in prioritizing claims management
Defense firms are obligated to review each claim manually—a process that is time-consuming and inconsistent, making it difficult for these defendants to identify meritless claims that are likely to be dismissed. This results in lost time on cases that matter and unnecessary expenditures for defense teams.
Defense Complaint Analytics addresses this issue by accurately identifying non-actionable cases most likely to be dismissed.
Solutions to drive better case outcomes
While many complaints may prove to be meritless, a small number of high-risk claims can drive a large portion of settlement spending. Plaintiff firms identify these claims early and prioritize resources to them, often leaving defense teams overmatched when settlement negotiations and trials commence.
Defense Complaint Analytics addresses this by identifying potentially high-risk claims early, allowing defense teams to push for earlier settlements and giving the defense team increased leverage—all before the pressure of imminent trial dates.
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