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Philip I. Person focuses his practice on representing employers in wrongful termination, harassment, discrimination, retaliation, wage and hour, trade secret misappropriation, non-competition, non-solicitation, and whistleblower claims. Philip is an experienced litigator, having defended employers against single-plaintiff and class action litigation in both federal and state courts. He also represents employers in labor and employment arbitrations.

Will it soon be time for California employers to collect and report more pay data? If Senate Bill 1162 (SB 1162) passes, the answer is “yes.” Introduced in
Continue Reading California Bill Would Increase Strict Pay Data Reporting and Pay Transparency Requirements for Businesses Across State

California employers have been grappling with the difficult and fact-intensive issue of classifying their workers as employees or independent contractors ever since the California Supreme Court issued its landmark 2018
Continue Reading Ninth Circuit Holds AB-5 Applies to Motor Carrier Workers in California

You are invited to listen to episode 7 of Greenberg Traurig’s Performance Review podcast, where Shareholders Ryan Bykerk and Philip Person discuss Cal/OSHA inspections with Michael Taylor, former general
Continue Reading The Performance Review Episode 7: Safety First – Cal/OSHA Inspections

A federal court granted a nationwide preliminary injunction prohibiting the federal government from implementing or enforcing Executive Order 13950 (“EO 13950”) on free speech and due process grounds. Government contractors
Continue Reading UPDATE: The Federal Government Cannot Implement or Enforce Executive Order 13950 Against Government Contractors or Grant Recipients

President Trump’s Executive Order 13950 (“EO 13950”) – intended to combat “Race and Sex Stereotyping,” as per the President – may require federal agencies, federal government contractors and subcontractors, and
Continue Reading The 2020 Election and Executive Orders: How Federal Contractors Provide Lawful Diversity and Unconscious Bias Training