July HSR reported transactions climb to 233 as fiscal 2026 passes 2,000 with two months to spare
July 2026 HSR reported transactions climbed 20.7% from June to 233, pushing the fiscal-year total to 2,091 with two months still remaining. The elevated deal volume comes alongside record global M&A activity and new DOJ efforts to accelerate certain second request investigations, increasing the need for efficient, defensible merger review workflows.
The eight-hour clock starts today: EU e-evidence orders now land on covered U.S. providers’ EU addressees
The EU’s e-Evidence Regulation is now fully applicable, allowing judicial authorities in 26 member states to directly demand data from covered service providers, with deadlines as short as eight hours. Providers face penalties of up to 2% of global annual turnover, making rapid, defensible response procedures essential.
DoorDash AI inquiry turns model selection into a governance test
House committees are scrutinizing DoorDash’s use of Chinese-developed AI models, requesting records on model selection, security testing, risk assessments, and governance. The inquiry highlights growing pressure on companies to document AI procurement and deployment decisions and quickly produce those records when regulators come calling.
Ninth Circuit vacates Amazon injunction; AI agent logs emerge as eDiscovery issue
The Ninth Circuit vacated an injunction restricting Perplexity’s AI shopping agent, finding that users, not Perplexity, access Amazon’s systems when deploying the tool. The ruling raises new eDiscovery challenges around preserving and producing AI agent logs that may be scattered across users, devices, and third-party providers.
Recent AI evaluation incidents expose gaps in containment, configuration and evidence
Recent AI evaluation incidents involving OpenAI, Anthropic, Meta, and Moonshot AI exposed distinct failures in containment, configuration, authorization, and testing integrity. The incidents highlight the need for stronger access controls, monitoring, and preservation procedures so organizations can reconstruct autonomous AI activity when something goes wrong.
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