Lawsuit tracker

Britannica v. Perplexity

Encyclopaedia Britannica, Inc. and Merriam-Webster, Inc. v. Perplexity AI, Inc., No. 1:25-cv-07546 (S.D.N.Y.)

PlaintiffsEncyclopaedia Britannica, Inc.; Merriam-Webster, Inc.
DefendantsPerplexity AI, Inc.
CourtU.S. District Court, Southern District of New York (Judge Jennifer L. Rochon)
Filed2025-09-10
StatusActive
Content typereference works
Last updated2026-07-21
Verified against the cited sources at last update. Litigation moves fast — check the sources below for the current status.

The claims

Copyright infringement on both the input side (crawling and scraping) and the output side (verbatim or near-verbatim reproduction in answers), plus trademark infringement over attributing AI-garbled content to the Britannica and Merriam-Webster names

What has happened

Britannica and its Merriam-Webster unit sued Perplexity in September 2025 over the “answer engine.” The complaint attacks two stages: PerplexityBot scraping their sites to feed its index, and the retrieval-augmented outputs that reproduce encyclopedia entries and dictionary definitions, sometimes verbatim; the complaint points to Perplexity returning Merriam-Webster’s definition of “plagiarize.” The trademark counts add a different injury: Perplexity allegedly attaches the Britannica and Merriam-Webster names to inaccurate, AI-generated text, trading on and damaging the brands. In March 2026 the plaintiffs amended their complaint, and Perplexity moved to dismiss the output-based direct infringement claim, arguing users, not Perplexity, supply the prompts and thus any volitional conduct. The plaintiffs countered that Perplexity cannot shift liability for its outputs onto its users. The motion is pending.

Key developments

  • 2025-09-10Britannica and Merriam-Webster sue Perplexity in the Southern District of New York for copyright and trademark infringement over its answer engine.
  • 2026-03-17Plaintiffs file an amended complaint; Perplexity simultaneously moves to dismiss the output-side direct infringement claim on volitional-conduct grounds. Briefing followed; decision pending.

Why it matters for training data

The battleground here is retrieval, not training. If reproducing reference entries in AI answers is direct infringement, answer engines need display and retrieval licenses even where model training might separately qualify as fair use, which splits “training rights” from “output rights” in any data deal. The trademark theory is the second lever: when an AI product garbles branded content and still cites the brand, the licensor has a claim that has nothing to do with copying. Reference publishers whose value is accuracy have the most to gain from that theory, and buyers should price both rights separately.

Sources

Deeper analysis

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