About Frank Woodson
Frank Woodson is the Managing Attorney of Beasley Allen's Mobile, Alabama office. He has practiced in pharmaceutical product liability since 2001 and brings experience in both plaintiff and defense litigation from his prior 17 years at Turner, Onderdonk, Kimbrough and Howell in Mobile. During that period he handled consumer fraud cases against car dealers, door-to-door finance fraud, personal injury, and successfully brought an eminent domain case against the State of Alabama that two judges recused from and a third judge urged the client to settle. Frank has served as President of the Alabama Association for Justice in 2017-18 and is involved with the Alabama State Bar Mobile County Bar Association. He earned his B.S. in Commerce and Business Administration from the University of Alabama and his J.D. from Cumberland School of Law.
Proven verdicts and settlements at Beasley Allen
These results are credited to Beasley Allen. A result appears under an attorney's own name only when a published source names them as counsel on the case.
As chair of the plaintiffs' negotiating committee and Liaison Counsel in the Vioxx multidistrict litigation, Russ Herman directed the negotiations that produced a $4.85 billion settlement with Merck resolving approximately 45,000 to 50,000 personal-injury claims.
Monsanto and its chemical spinoff Solutia agreed in August 2003 to pay $700 million to resolve claims from more than 21,000 Anniston, Alabama residents who were exposed to polychlorinated biphenyls the company manufactured and dumped near their homes for nearly four decades.
San Francisco Unified School District's case was the first JUUL bellwether trial against Altria; after the plaintiffs rested, Altria agreed to pay $235 million to resolve roughly 6,000 pending e-vapor claims nationwide.
Beasley Allen, representing Alabama on contingency, secured $220 million from opioid distributors Cardinal Health and Cencora after roughly 18 months of litigation, with every dollar directed to statewide opioid abatement programs.
Prior results do not guarantee a similar outcome. Each case is unique and depends on its own facts.