A companion piece on this site mapped every connection between plaintiff and defendant in AI’s copyright litigation. This one ranks the defendants by how often they’re named; and asks whether the ranking means what it looks like it means.
OpenAI leads with eleven cases, Meta follows with eight, Anthropic with seven. Read as a scoreboard, that order looks stable, as if it simply reflects how exposed each company is. It doesn’t hold up. Split each total by when the cases were filed, and OpenAI’s eleven span three full years, seven of them before 2025. Meta’s eight are almost entirely new: seven of eight arrived in the last seven months of the tracker. A single number, total cases, quietly averages two different risk profiles into one rank: sustained, multi-year exposure, and a docket that only opened last winter.
Ranked — Cases by Lead Defendant, 2023–2026
The Most Sued AI Companies — and the Very Different Timelines Behind the Same Ranking
Bars ranked by total cases naming that company as lead defendant; multi-defendant suits are attributed to the first-named defendant only. Two cases with no confirmed filing month are dated here using the earliest press coverage of the filing. 2026 covers January–May only. Tap or hover a bar for the exact date range. Source: Information is Beautiful AI litigation tracker, cross-referenced against court filings, compiled May 2026.
Eight months ago, Meta barely registered on this list
As recently as October 2025, Meta had exactly one case in this tracker, filed back in July 2023, then quiet for more than two years. Seven more arrived between November 2025 and May 2026, culminating in a class action that five major publishers and novelist Scott Turow filed in May 2026, accusing Meta of building its Llama models on millions of pirated books pulled from shadow libraries. NPR reported the suit as part of a wider pattern of publishers now targeting Meta directly; Hachette’s own announcement framed it as a unified effort spanning the trade, education and academic publishing sectors. Ranked by total, Meta looks like a company with a long-running legal problem. Ranked by when the cases arrived, it looks like a company that became a major target in the last two quarters.
OpenAI’s lead isn’t about intensity; it’s about range
OpenAI’s eleven cases are the most in the tracker, but no single plaintiff type drove them: six from commercial rights holders, four from individual creators, one from a platform, arriving steadily rather than in a burst. Compare that with Meta’s recent, publisher-only surge. OpenAI’s ranking reflects being sued by nearly everyone, over the longest stretch of time in the tracker; breadth and duration, not a single sharp spike.
Suno has never been sued by an individual creator
All five of Suno’s cases come from commercial rights holders, record labels and music-publishing groups, not working musicians. That’s a one-sided profile: Suno’s entire litigation exposure runs through commercial catalogue owners protecting licensing revenue, not the kind of individual-artist suits that opened the AI copyright docket in 2023. It’s the same commercial-versus-creator split running through the wider tracker, just concentrated entirely on one company.
Methodology
This chart ranks the 17 companies named as lead defendant across the 55 AI copyright and intellectual-property lawsuits in this tracker, compiled by Information is Beautiful and cross-referenced against court dockets and press coverage, current to May 2026. Cases naming multiple defendants are attributed to the first-named company only. Two cases with no confirmed filing month are dated using the earliest press coverage of the filing. “Early” covers cases filed in 2023–2024; “late” covers cases filed in 2025 and January–May 2026. This is a curated tracker of notable cases, not an exhaustive legal database: at least one company in this ranking (Nvidia) has been named in further AI-training lawsuits filed after this tracker’s cutoff that aren’t reflected in the count above. Treat any individual company’s total as a floor, not a ceiling. Revenue and valuation figures in the underlying dataset were not used in this chart.


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