Chegg's Google lawsuit over AI Overviews remains unresolved

The revenue mechanism

On 24 February 2025, Chegg, an online education company, filed a complaint against Google LLC and Alphabet Inc. in the US District Court for the District of Columbia. Chegg's own annual report, filed with the SEC the same day, describes the claim as asserting 'federal antitrust claims and common-law unjust enrichment claims, in connection with Google's expansion of its AIO search experience', seeking 'damages, restitution, disgorgement, and injunctive relief'. The mechanism Chegg says it depends on is search-referral traffic: its business sells subscriptions to study help and homework materials that people historically found partly through Google search results, and Chegg's filing argues that Google's AI-generated overviews reduce how often a search for that kind of content sends someone to Chegg's own site to subscribe.

What the documents show

Chegg's own filing is careful about what it can and cannot say at this stage: it states plainly that 'given the nature of the case, including that the proceedings are in their early stages, we are unable to predict the ultimate outcome of the case'. A later Chegg annual report, covering the following fiscal year, updates the record: it states that 'Google moved to dismiss the amended complaint on July 25, 2025', meaning the case had not been resolved on the merits and Google was actively contesting it more than a year after Chegg filed. Both documents are Chegg's own SEC disclosures, not court filings themselves, though they describe and quote the underlying complaint and motion practice.

The assumptions exposed

A complaint's allegations are one party's claims, not a court's findings; nothing in Chegg's own filings, or in what they describe, establishes that Google's conduct was unlawful, only that Chegg alleges this and that Google has moved to dismiss the amended version of that claim. Chegg's own account also attributes its traffic and subscriber headwinds to AI Overviews as one contributing factor among others its filings describe elsewhere, including a broader shift toward free and paid generative AI tools; treating the lawsuit as proof of a specific, quantified traffic loss would go beyond what either filing states.

What to check before you rely on it

A publisher watching this case as a possible precedent should track its actual procedural status rather than assuming a headline about the filing still describes a current case posture. This is an editorial checklist, not legal advice.

• Has the motion to dismiss the amended complaint been decided, and if so, on what claims?
• Am I reading Chegg's allegation as an established fact, or correctly as a disputed claim awaiting a court ruling?
• Does my own business share the specific referral-dependency Chegg describes, or a materially different traffic pattern?

The case remains, on Chegg's own most recent account, an open dispute rather than a decided one, and a publisher should treat any claim about its outcome accordingly.