Twenty-six current and former Meta employees have sued the company in federal court, alleging that AI-assisted scoring and workplace-monitoring data helped select workers for layoffs after they took or requested protected leave.
The complaint, filed July 13, 2026, in the Northern District of California, says Meta began notifying workers on May 20 that they had been selected for a reduction in force affecting about 10% of its workforce. Many of the plaintiffs say their separations are scheduled to begin July 22.
What the complaint says
The workers allege Meta relied on internal AI systems, productivity metrics, activity monitoring, AI-token usage dashboards and algorithmically assisted performance rankings when building the layoff list. They argue those measures did not properly account for time away from work for medical leave, pregnancy, parental leave, family care or disability accommodation.
The complaint names systems and inputs the plaintiffs describe as Metamate, employee-trained second-brain agents, keystroke and activity data, and calibration scores. The workers say those inputs could make protected absences look like lower output, then feed that lower output into layoff decisions.
The plaintiffs are not asking the court to decide the full merits of their claims immediately. Because Meta requires individual arbitration for many employment disputes, they are asking U.S. District Judge William Orrick to preserve their employment status while they pursue arbitration and seek an independent audit of the selection process.
What Meta says
Meta denies the central allegation. The company told AP and Reuters that the claims lack merit and that workforce management and organizational decisions were made by people, not AI.
The lawsuit has not proven that Meta broke the law. It is an early-stage complaint, and Meta will have opportunities to contest the allegations, the plaintiffs' evidence and the requested injunction.
Why it matters
The case is worth watching because it brings automated workplace tools into a high-stakes employment dispute. Employers can use data to manage large organizations, but the plaintiffs argue that productivity measurements can become legally risky when they treat protected leave as missing work rather than protected time away.
The complaint cites the Family and Medical Leave Act, the Americans with Disabilities Act, the Pregnancy Discrimination Act, the Pregnant Workers Fairness Act, Title VII and state laws. It also raises a broader question for companies adopting AI tools: who checks whether a scoring system disadvantages workers who have legal protections?
For workers, the practical lesson is narrow but important: keep copies of leave approvals, accommodation requests, performance reviews and layoff notices, especially when an employer uses dashboards or automated scoring. For employers, the dispute shows why AI-assisted employment tools need human review, bias testing and documented exceptions before they affect pay, benefits or jobs.
What happens next
The immediate question is whether the court grants temporary relief before the separation dates take effect. If it does, the workers could remain employed while arbitration and audit requests move forward. If it does not, the plaintiffs say they could lose pay, health coverage, leave rights, equity vesting or immigration stability before their claims are heard.
