Uber has faced multiple class action lawsuits alleging violations of background check procedures, resulting in settlement agreements totaling tens of millions of dollars. The most significant settlements stem from allegations that Uber misrepresented the rigor of its background screening process, improperly denied driver applicants access to work, and violated fair hiring practices under federal and state law. If you applied to drive for Uber or use Uber Eats delivery services and were denied due to background check issues, or if you were a consumer who paid misleading “safe ride” fees, you may be eligible to receive compensation from one or more of these settlements. The settlements address different violations across different time periods and jurisdictions.
The New York Aguilera v. Uber Eats settlement awarded $3.35 million to individuals denied delivery work based on criminal history screening. California settlements addressed misleading safety claims and improper criminal background discrimination affecting millions of consumers. Additional claims stem from violations of the Fair Credit Reporting Act involving disparate impact on Black and Latinx applicants. Together, these cases have exposed significant problems with how Uber conducts and communicates about its hiring practices.
Table of Contents
- What Are Uber Background Check Violations in Class Actions?
- The Major Uber Background Check Settlements
- Who Is Eligible for These Uber Background Check Settlements?
- How to File Claims and What to Expect
- Limitations and Important Warnings About Uber Settlements
- Fair Credit Reporting Act Violations and Disparate Impact
- What Uber’s Settlements Mean Going Forward
- Conclusion
What Are Uber Background Check Violations in Class Actions?
Background check violations in Uber class actions primarily involve two categories of wrongdoing: misrepresentation of screening standards and discriminatory denial of driver opportunities. Under the Aguilera settlement covering New York, Uber allegedly violated the city’s Human Rights Law by automatically rejecting Uber Eats applicants with certain criminal convictions without individually assessing their fitness for delivery work. This meant that individuals with older convictions, or convictions unrelated to food delivery safety, were denied opportunities without proper consideration of rehabilitation or job relevance. The california settlements reveal a broader pattern.
Uber claimed to conduct “gold standard” background checks and marketed rides as the “safest ride on the road,” yet investigations by district attorneys found these claims unsupported. Uber does not require fingerprint-based background checks for drivers—only name-based checks through third parties like Checkr—yet the company’s marketing suggested a higher level of screening. Additionally, Uber charged consumers a “safe rides fee” without clearly disclosing whether that fee funded enhanced safety measures or background check improvements. The combination of misleading marketing, overstated safety claims, and aggressive criminal record screening created legal liability across multiple fronts.
The Major Uber Background Check Settlements
The new York settlement in the Aguilera v. Uber Eats case totals $3.35 million, covering individuals denied Uber Eats delivery access between October 24, 2015, and July 28, 2021. Class members in this settlement received between $70 and approximately $165 each, depending on the type of conviction that led to their denial. This settlement specifically addressed NYC Human Rights Law violations and represented one of the first major wins against Uber’s discriminatory screening practices.
The California Safe Rides Fee and Background Check Settlement reached $32.5 million, finalized in early 2023, and affects approximately 25 million consumers. This settlement compensates both drivers who were improperly denied based on background checks and consumers who were misled about the quality and funding of safety measures. The settlement also prohibits Uber from making unsubstantiated claims about background check rigor. A separate settlement with California’s San Francisco and Los Angeles district attorneys imposed a $10 million minimum payment and barred Uber from claiming its background checks were the “safest ride on the road” or met a “gold standard.” Violation of these terms could result in fines up to $25 million, creating a strong enforcement mechanism.
Who Is Eligible for These Uber Background Check Settlements?
Eligibility varies by settlement. For the Aguilera settlement, you must have applied for Uber Eats delivery work in New York between October 24, 2015, and July 28, 2021, and been denied access to the platform due to background check screening. You do not need to prove discrimination; membership in the class is based on the denial itself during the covered period. Documentation of your application or rejection email strengthens your claim but is often not strictly required.
For the California settlements, the class is broader. The Safe Rides Fee settlement covers California consumers who paid the fee during the coverage period, as well as driver applicants denied based on background checks. If you are a California resident who took Uber rides during the settlement period, you may qualify for compensation regardless of whether you were directly affected by background check denials, because the settlement compensates for misleading marketing about safety fees. The FCRA-based settlements cover approximately 80,000 individuals in two classes: those denied based on criminal history (the “criminal history discrimination class”) and those from Black or Latinx backgrounds who faced disparate impact in background screening decisions. These claims cover applicants from January 11, 2020, forward.
How to File Claims and What to Expect
Filing a claim typically requires submitting a claim form to the settlement administrator, either online or by mail. For the Aguilera settlement, you would need to provide your name, contact information, and evidence of your application to Uber Eats and denial—such as your email confirmation or a rejection notice. The claim window for completed settlements is usually limited to 6-12 months from the settlement approval date, so timing matters. Claim review can take several weeks to several months.
The settlement administrator verifies your information against Uber’s records to confirm you fall within the class definition. Once verified, you receive payment by check or electronic transfer. One important limitation: class members typically cannot receive compensation from multiple overlapping settlements if your situation fits multiple settlement definitions. For example, if you were both denied driver access in New York and charged a safe ride fee in California, the settlements may coordinate benefits to avoid double-payment. This coordination is managed by the settlement administrator and may reduce your individual payment in some cases.
Limitations and Important Warnings About Uber Settlements
Class action settlements rarely provide full compensation for all damages suffered. The per-person payments in these settlements—ranging from $70 to $165 in the Aguilera case—represent a fraction of what individual applicants lost in income opportunity. If you were denied driver work for 18 months and earned $2,000 per month, your actual loss was $36,000; a $165 settlement covers only a fraction of that. Settlements also typically include attorney fees and administrative costs, which further reduces the pool available for class members.
Another critical limitation: accepting a settlement payment may require you to waive future legal claims against Uber related to background check discrimination during the settlement period. This means you cannot later sue Uber individually for the same conduct covered by the settlement. Additionally, statutes of limitation on claims may already be approaching or may have passed by the time you become aware of a settlement, particularly for events that occurred years ago. Some class members discover settlements years after the violation occurred, and by then the claim window has closed.
Fair Credit Reporting Act Violations and Disparate Impact
Beyond contract and state law violations, Uber faces allegations of Fair Credit Reporting Act violations. Approximately 80,000 potential class members are involved in FCRA-based claims, which divide into two categories: general criminal history discrimination and disparate impact affecting Black and Latinx applicants. These claims argue that Uber’s background check provider, Checkr, reported information in a way that violated FCRA standards, or that Uber’s use of criminal history in screening decisions had a disparate, discriminatory impact on protected groups.
FCRA cases are complex because they require showing not just that individuals were denied, but that the screening process itself violated federal fair credit reporting standards or that facially neutral criteria (like rejecting anyone with a felony conviction) predictably excluded members of protected racial groups. The fact that these claims identify race-based disparate impact distinguishes them from individual wrongful denial cases. If you are a Black or Latinx driver who was denied by Uber, you may have stronger claims under FCRA disparate impact theories than an applicant of another background with a similar criminal record. Settlement values for FCRA claims are often higher than general discrimination claims, but these cases move slowly and are still pending or recently settled.
What Uber’s Settlements Mean Going Forward
Uber’s settlements have created new industry standards around background check transparency and hiring disclosures. The prohibition on claims like “safest ride on the road” and “gold standard” background checks means Uber must now be explicit about what it actually screens for: name-based checks, criminal history assessment, and driving record review. The company cannot imply fingerprinting or more rigorous vetting than it actually performs. This has influenced how other rideshare and gig platforms communicate about safety, as similar cases have been brought against Lyft and DoorDash.
Looking forward, the trend is toward stricter enforcement of Fair Credit Reporting Act standards in the gig economy. Regulators and courts increasingly recognize that automated, algorithm-driven hiring decisions—especially in background screening—can perpetuate discrimination. Settlements also incentivize companies to audit their own practices before regulators do. Uber, Lyft, DoorDash, and other platforms are now investing in more individualized assessment policies and clearer disclosures about how criminal records factor into hiring decisions. The settlements represent a shift toward accountability but also signal that the status quo remains imperfect; new violations continue to emerge as platforms evolve their screening practices.
Conclusion
Uber’s background check violations resulted in multiple class action settlements totaling over $45 million, including the $3.35 million Aguilera v. Uber Eats settlement, the $32.5 million California Safe Rides Fee settlement, and FCRA-based claims affecting thousands more. If you were denied driver or delivery access due to background checks between 2015 and 2021, or if you were a California consumer charged misleading safety fees, you likely qualify for compensation. Individual payments are modest—typically $70 to $165—but each class member who successfully claims receives direct compensation without bearing legal costs.
To protect your rights, identify which settlement(s) may apply to you based on when and where you applied to Uber or Uber Eats, monitor settlement websites and emails for claim deadline announcements, and file claims before the deadline expires. Most settlements have administrative websites where you can check eligibility and file online. If you applied for Uber driver or delivery work and were rejected without clear explanation, keep any documentation you have of that rejection. The settlements close after deadlines pass, and claims filed after the deadline are denied with no recourse, so timely action is essential.