Court, Explained
U.S. Federal District Courts
Back to docket
N.D. Cal.Procedural orderFiled May 23, 2022

Liu v. Uber Technologies Inc.

Judge
Vince Chhabria
Docket
3:20-cv-07499
Court
U.S. District Court · Northern District of California
Pages
3
EmploymentCivil RightsMotion to Dismiss
In one sentence

In Liu v. Uber, Judge Chhabria granted Uber’s motion to dismiss Liu’s Title VII racial-disparity claim, allowing amendment within 28 days.

Who this affects

Thomas Liu and Uber Technologies Inc.; the ruling gives Liu another opportunity to amend his complaint within 28 days.

What happened

In Liu v. Uber Technologies Inc., Thomas Liu alleged that Uber’s driver terminations affected racial groups differently. The court had previously dismissed this claim and gave Liu another opportunity to provide facts supporting it.

Liu’s new complaint relied on a survey of about 20,000 Uber drivers who had been deactivated and asked whether low ratings caused their deactivation. The court said the survey used the wrong comparison because it examined only deactivated drivers, and it also questioned whether some drivers understood the term “Latinx.”

Judge Chhabria granted Uber’s motion to dismiss, ruling that the complaint still did not plausibly show racial differences in terminations. The court allowed Liu to amend again within 28 days; if he does not, the dismissal will be with prejudice.

The detailed version

For law students, journalists, and other readers who want the full reasoning

Case
Liu v. Uber Technologies Inc. · No. 3:20-cv-07499
Judge
Vince Chhabria
Date
May 23, 2022

Background

Thomas Liu brought a Title VII disparate-impact claim alleging racial disparity in Uber’s terminations of drivers. The court had previously dismissed the claim because Liu had not provided a plausible factual basis for asserting that Uber terminated drivers on a racially disparate basis. The ruling addressed Liu’s second amended complaint and Uber’s motion to dismiss.

Court’s analysis

The second amended complaint relied on a survey of approximately 20,000 Uber drivers who were clients of Liu’s counsel. The survey asked drivers who had been deactivated whether their star ratings were too low and asked them to identify their race. The complaint alleged statistically significant differences between white drivers and Black and Asian drivers, as well as drivers who identified their race as “Other.” It did not allege a statistically significant difference between white and “Latinx” drivers.

The court held that the survey did not plausibly show that minority drivers were disproportionately terminated for low ratings compared with white drivers. The survey examined the racial breakdown of drivers who had already been deactivated, rather than comparing deactivation rates across Uber’s overall driver population. The court described this as using the wrong denominator and gave a hypothetical example showing that this method could produce racial differences in survey responses even when there was no racial difference in deactivation rates or star ratings.

The court also identified a likely problem with the survey’s use of the term “Latinx.” The court stated that Latino drivers may not have understood the term, and the complaint said many Latino respondents selected “Other” because of that confusion. Although the court recognized that a survey in a complaint does not need to meet the same rigorous standards that might apply at the summary-judgment stage, it held that the survey still had to provide some information from which racial disparity could plausibly be inferred. The court found this survey essentially meaningless for that purpose.

Disposition

Judge Vince Chhabria granted Uber’s motion to dismiss. The dismissal was with leave to amend because the court found it conceivable that a more sophisticated effort—through a survey or another method—could adequately allege racial disparity in driver terminations. Any amended complaint had to be filed within 28 days of the ruling. If Liu failed to file one by that deadline, the dismissal would be with prejudice.

The authoritative version

Read the full 3-page opinion on CourtListener, the free public archive maintained by the Free Law Project.

Open opinion PDF →
Summary written with AI assistance. See how summaries are made. Spot something wrong? Tell us.