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  5. Microsoft Asks Court to Dismiss NYT Lawsuit After Discovery Shows Copilot Rarely Regurgitates Text
AIMAG 7
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2026-09-05•2 min read

Microsoft Asks Court to Dismiss NYT Lawsuit After Discovery Shows Copilot Rarely Regurgitates Text

Zubiqo Take
QuoteThreads

“Microsoft is betting that a 1% memorization rate is small enough to legally launder the other 99% of their training data.”

Microsoft Asks Court to Dismiss NYT Lawsuit After Discovery Shows Copilot Rarely Regurgitates Text
📷 Image Source: The Verge

Executive Summary

  • •Microsoft filed for summary judgment in its copyright battle against The New York Times and book authors.
  • •Discovery data shows only 59,545 out of 8.2 million targeted Copilot chat logs contained 16 or more matching words.
  • •The defense is using the extremely low overlap percentages to justify fair use and dismiss the case early.

Community Sentiment

1-Tap Vote

Key Developments & Data

Microsoft submitted a filing for summary judgment on Friday to end the consolidated copyright lawsuit brought by news publishers and authors at an early stage. An expert hired by publishers analyzed 8.2 million Copilot chat logs specifically targeted for news keywords and found that fewer than 1% (59,545) contained 16 or more matching words. An expert for the Center for Investigative Reporting found only 51 instances of substantial overlap with its work within the entire dataset. A separate expert evaluating 212 books found only 10 had any matches, with just 24 responses containing at least 30 matching words. Microsoft argues these extreme low overlap rates bolster its defense that LLM training constitutes fair use with a transformative purpose. "The documents and testimony uncovered during discovery lead to only one conclusion: Microsoft and OpenAI stole from The New York Times to make commercial products that substitute for its journalism, threaten its business, and undermine its industry." — Ian Crosby

Zubiqo Strategic Assessment

Primary Impact

News publishers and authors pursuing copyright infringement claims against AI developers, as empirical discovery data severely complicates their arguments of systemic content regurgitation.

Strategic Shift

The transition from abstract copyright theory to a data-driven legal defense, where AI companies use vast operational scale and low matching percentages to validate fair use.

The Ripple Effect

Judges will likely demand strict empirical benchmarks for what constitutes 'substantial overlap' in AI outputs, establishing a rigid mathematical standard for future generative copyright litigation.

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This intelligence assessment is generated by Zubiqo's AI for informational purposes only.

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#microsoft#openai#copyright#lawsuit#artificial intelligence
Read original on The Verge
Zubiqo MethodologyAI Synthesis

Synthesized from linked market reporting using AI extraction under Zubiqo's editorial standards. Have a correction? Contact our desk.

Event Magnitude7 / 10
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