Law Firm Filed Three Lawsuits Against OpenAI, Microsoft
The litigation targets AI training data practices and reports of individual harm linked to ChatGPT usage.
Updated on Oct. 13, 2026 in Artificial Intelligence
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In February 2026, New Jersey-based Platkin LLP initiated three lawsuits against OpenAI and Microsoft. The complaints allege copyright infringement and emotional distress resulting from the companies' generative AI products.
Why it matters
These cases highlight the growing legal friction between AI developers and content creators regarding training data practices. The firm is positioning its litigation to address both systemic data usage and individual harm allegedly linked to model outputs.
The firm alleges the unauthorized scraping of hundreds of thousands of copyrighted articles to build generative AI products. These claims serve as a benchmark for potential future litigation regarding data licensing and training sets.
The players
Platkin LLP
A New Jersey-based law firm that opened in February 2026 and focuses on impactful litigation against technology companies.
OpenAI
A developer of large language models and the creator of the ChatGPT generative AI platform.
Microsoft
A major technology company that integrates OpenAI models into its suite of enterprise and consumer software products.
The details
The lawsuits allege that OpenAI and Microsoft scraped massive volumes of intellectual property to train their large language models. A separate complaint focuses on a Pennsylvania resident, claiming ChatGPT usage directly resulted in a mental health crisis. These filings challenge the established industry practice of using publicly available internet data for model development without direct licensing agreements.
Timeline
February 2026: Platkin LLP opened for business and initiated the three legal actions.
The Tech Race
This litigation follows the precedent set by other high-profile copyright disputes targeting the foundational data practices of AI labs. It signals a move toward addressing not only the origin of training data but the specific real-world outcomes attributed to model performance.
Users should monitor these cases as potential precedents for how AI companies handle copyrighted material and liability for model outputs. The rulings could force changes in how information is licensed or filtered within generative AI platforms.
The takeaway
These lawsuits suggest a shift toward holding AI developers accountable for both data ingestion and specific user harms. Track the court dockets in New Jersey and Pennsylvania to see how judges treat the link between generative AI outputs and clinical outcomes.
Further reading
For broader trends in model training and regulatory challenges, visit Artificial Intelligence.
Source note: This article includes information reported by Bloomberglaw.
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