Chmura v Snap Inc: Difference between revisions

From AI Law Wiki
Jump to navigation Jump to search
(Migration export)
 
(Migration export)
 

Latest revision as of 02:34, 28 April 2026

Chmura v. Snap Inc.' is a class action lawsuit filed on February 18, 2026 in the U.S. District Court for the Central District of California, alleging that Snapchat circumvented YouTube's technological protection measures to mass-download video content for AI training, violating the DMCA's anti-circumvention provisions.[1]

Case Details

Field Detail
Case Name Chmura v. Snap Inc.
Court U.S. District Court, Central District of California
Docket Number 2:26-cv-01732
Filed February 18, 2026
Judge Judge Andre Birotte Jr.
Plaintiff Nicole Chmura (proposed class representative)
Defendant Snap Inc.
Claims DMCA anti-circumvention (17 U.S.C. § 1201(a))

Allegations

Plaintiff Nicole Chmura alleges that Snap Inc. circumvented YouTube's technological access controls to scrape, bulk-download, and extract YouTube-hosted audiovisual works at the file level for training Snapchat's AI systems.[1]

Specific claims include:

  • Snap used circumvention tools and services to defeat YouTube's streaming-only restrictions at scale
  • The company instructed employees to evade detection and scrape repeatedly for video clips
  • Snapchat's AI systems were trained on unlawfully accessed copyrighted content without creator permission or licenses
  • The circumvention was conducted deliberately and systematically to obtain commercial AI training data[1]

Relief Sought

  • Injunctive relief to cease circumvention-based access to YouTube-hosted works
  • Statutory damages under 17 U.S.C. § 1203
  • Declaratory relief
  • Jury trial[1]

Significance

This case is part of a wave of DMCA anti-circumvention lawsuits filed against AI companies in early 2026, alongside similar actions against Runway AI, Meta, Nvidia, and others. It represents an expansion of AI copyright litigation beyond text-based training data into video content scraping.[1]

See Also

References