According to an article in the National Law Review, lawsuits against AI companies for using web scraping to train their models have largely been unsuccessful. Plaintiffs' claims often fail due to insufficient factual pleading or legally untenable grounds. Recent cases, such as a nearly 200-page complaint, were dismissed without prejudice due to the excessive and unfocused nature of the allegations. The court criticized the plaintiffs for including policy grievances irrelevant to legal adjudication. The court has allowed for amended complaints but warned against future submissions with similar issues. Despite these setbacks, the legal questions surrounding AI training remain unresolved, with ongoing lawsuits exploring various