Viqus Logo Viqus Logo
Home
Categories
Language Models Generative Imagery Hardware & Chips Business & Funding Ethics & Society Science & Robotics
Resources
AI Glossary Academy CLI Tool Labs
About Contact

Britannica & Merriam-Webster Sue Perplexity AI Over Copyright Infringement

AI Copyright Infringement Perplexity AI Merriam-Webster Legal Dispute Tech Law Internet Search
September 12, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Content Boundaries
Media Hype 7/10
Real Impact 8/10

Article Summary

Perplexity AI is facing a significant legal challenge as Britannica and Merriam-Webster have filed a lawsuit alleging widespread copyright and trademark violations. The core of the complaint centers on Perplexity’s ‘answer engine,’ which the plaintiffs claim aggressively scrapes content from their websites and produces results virtually identical to Merriam-Webster’s definitions, specifically using the word ‘plagiarize’ as a key example. Beyond direct plagiarism, the lawsuit also accuses Perplexity of ‘stealth crawling’ and attaching the names of Britannica and Merriam-Webster to fabricated information. This legal battle comes amidst growing concerns about AI’s reliance on existing content and the lack of proper attribution. Perplexity, a competitor to Google Search, has already been criticized for its reliance on AI-generated content. The current lawsuit represents a major test case regarding AI’s use of copyrighted material and the responsibilities of AI developers. The companies are asking for an injunction to halt the alleged practices.

Key Points

  • Britannica and Merriam-Webster have filed a lawsuit against Perplexity AI.
  • The lawsuit alleges Perplexity’s ‘answer engine’ is plagiarizing content from the plaintiffs' websites.
  • The core accusation is that Perplexity is ‘stealth crawling’ and presenting copied information as original.

Why It Matters

This lawsuit has significant implications for the burgeoning AI industry and the legal framework surrounding intellectual property rights. It forces a crucial conversation about how AI models are trained, whether simply accessing and repurposing existing data constitutes infringement, and the need for greater transparency and attribution in AI-generated content. The case could set a precedent for future legal challenges against AI companies and influence the development of industry standards for responsible AI development.

You might also be interested in