Lawsuit: TWIA Fraudulently Reduced Claim Estimates From Hurricane Beryl

By Ezra Amacher Three Texas homeowners filed a federal racketeering lawsuit last week alleging that the Texas Windstorm Insurance Association fraudulently reduced claim estimates for properties damaged by Hurricane Beryl. The lawsuit, filed in the U.S. District Court, Southern District of Texas, alleges TWIA partnered with a vendor who made significant alterations to the original claims estimate made by a field adjuster. TWIA then sent the estimate to the policyholder under the premise that the estimate was the original, the lawsuit says. Plaintiffs allege that they lost tens of thousands of dollars due to the scheme. For one policyholder, the original field adjuster estimate was $91,000, but the altered estimate came out to $31,000, a reduction of 66%. The plaintiffs are seeking a class action under the federal RICO (Racketeer Influenced and Corrupt Organizations) Act. The lawsuit does not rely on violations of Texas insurance law as the predicate acts for the RICO claim. Hurricane Beryl made landfall on the Texas Gulf Coast on July 8, 2024, as a Category 1 hurricane. TWIA, the state-created insurer of last resort for wind and hail, has reported $336 million in Hurricane Beryl claims payments to about 34,000 policyholders. Aaron Taylor, a TWIA spokesman, said the organization does not to comment on active or potential litigation. The lawsuit alleges a claims-production method where an out-of-state supervising adjuster would materially lower the estimate made by a field adjuster and then present the altered report as the field adjuster’s original report. TWIA accepted, approved and used the reduced estimate to calculate benefits while the claimant-facing document continued to identify the original field adjuster as the estimator, the lawsuit says. The revised estimate would then be submitted and processed through the claims system, according to the lawsuit. Topics Lawsuits Catastrophe Natural Disasters Fraud Hurricane Was this article valuable? Thank you! Please tell us what we can do to improve this article. Thank you! % of people found this article valuable. Please tell us what you liked about it. Here are more articles you may enjoy.