Industry
AI employment discrimination
Expert witness services for litigation involving algorithmic hiring, screening, performance evaluation, and workforce management systems alleged to produce discriminatory outcomes.
Request an employment AI expertAI in employment decisions
Employers use AI systems for resume screening, candidate ranking, interview analysis, performance evaluation, and termination decisions. These tools introduce bias that stays hidden. Without expert analysis, affected workers and regulators cannot prove discriminatory patterns in automated decisions.
The Equal Employment Opportunity Commission issues guidance on automated employment tools. New York City and other jurisdictions require bias audits for these systems. California's Fair Employment and Housing Act provides state protections for algorithm-driven employment decisions.
Key dispute types
AI resume screening and candidate ranking
Employers use AI to screen resumes and rank applicants. Claims allege these systems disadvantage candidates by race, gender, or age. Analysis evaluates system design, training data, and output patterns.
Automated interview analysis
Employers use AI to evaluate video interviews through facial expressions, voice patterns, or word choice. Claims allege bias against protected classes based on correlated traits.
AI performance evaluation systems
Employers use AI for performance reviews, promotions, and terminations. Claims allege disparate outcomes for protected groups. Analysis examines system design and statistical evidence.
Workforce management and scheduling AI
AI tools handle scheduling, task assignment, and pay decisions. Claims allege discriminatory outcomes. Analysis evaluates system design and output patterns.
Bias audit disputes
Parties challenge employer bias audits of automated employment tools as flawed. Analysis evaluates audit methodology and adherence to standards.
Regulatory and legal framework
AI employment cases combine federal law, state statutes, EEOC guidance, and new regulations. Experts provide technical analysis to assist counsel in evaluating matters under applicable legal standards, while legal conclusions, liability determinations, and court admissibility assessments remain distinct from technical findings and are determined by courts.
- Title VII of the Civil Rights Act: disparate impact and disparate treatment analysis for employment decisions
- Age Discrimination in Employment Act: analysis of AI systems' treatment of older workers
- Americans with Disabilities Act: evaluation of AI systems' accommodation of disabled applicants and employees
- EEOC guidance on AI and automated systems (2023): technical standards for bias analysis
- NYC Local Law 144: bias audit requirements for automated employment decision tools
- California FEHA and related regulations: state-specific protections applicable to AI employment decisions
Current issue
Employment-system records
Employment-system disputes depend on the actual role an automated tool played in screening, ranking, assessment, or selection. System descriptions, vendor materials, retained records, and the treatment of disability-related assessment questions may all matter.
California’s current automated-decision employment regulations make this recordkeeping context especially relevant, while the legal analysis still depends on the governing claim and evidence.
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