
R. Brian Dixon provides employers with a full range of counsel and legal representation with particular expertise in all aspects of employee compensation, including:
- Minimum wage
- Prevailing wage
- Overtime compensation obligations
- Incentive compensation plans
He represents employers before state and federal courts and in compensation disputes and audits involving the Department of Labor, California's Division of Labor Standards Enforcement, and the enforcement agencies of other states and private plaintiffs. He has specific experience with:
- Title VII
- The Americans with Disabilities Act
- The Age Discrimination in Employment Act
- The Immigration Reform and Control Act
- The Fair Labor Standards Act
- The Service Contract Act
- The Davis-Bacon Act
- The Wage Orders of California's Industrial Welfare Commission
- The California Labor Code and other state labor codes
- State case laws concerning commission and bonus plans
- State discrimination laws
His practice also includes the resolution of:
- Wrongful termination issues
- Equal employment opportunity matters
- Labor relations concerns
- Individual employee disciplinary concerns
- Class action charges involving the classification of employees as overtime exempt
- Civil penalties under the Private Attorney General Act
Brian works with a broad range of clients, including:
- Technology companies
- Hospitals
- Financial institutions
- Non-profit foundations
- Engineering companies
- Construction companies
Brian has been a shareholder in the Littler Mendelson San Francisco office since 1984 and previously served as the co-chair of the Wage and Hour Practice Group. He has authored compensation guides for many industry associations including the California Trucking Association, the California Association of Children’s Homes, the California Hotel and Motel Association and the Outdoor Amusement Business Association.
Speaking Engagements
Virtual Conference
Webinar
Commission Plans
The 2018 Wage and Hour Update: Employers Must Brave the Thicket of Complex Laws
Webinar