White & Case Releases Global Regulatory Tracker to Address EU AI Act Compliance for Enterprises

EU AI Act compliance AI regulatory tracker enterprise AI governance AI Act Code of Practice Global AI legislation
David Brown
David Brown

Head of B2B Marketing at SSOJet

 
July 8, 2026
5 min read
White & Case Releases Global Regulatory Tracker to Address EU AI Act Compliance for Enterprises

White & Case Launches Global Regulatory Tracker to Untangle the EU AI Act

Trying to keep up with global AI regulation these days feels a bit like playing whack-a-mole in a hurricane. Just as businesses get a handle on one set of rules, another jurisdiction shifts the goalposts. To help cut through the noise, White & Case has rolled out a new global regulatory tracker. It’s a practical response to a messy reality: as nations race to legislate artificial intelligence, the definitions of what "AI" actually is—and what it’s allowed to do—are drifting further apart.

The trigger for this, of course, is the EU AI Act. It’s the world’s first serious attempt at a horizontal legal framework for AI, and it’s forcing every multinational corporation to rethink its playbook. By centralizing the chaos, White & Case is pushing for a "highest common denominator" approach. If you build your compliance strategy to meet the strictest standards, you’re less likely to get tripped up by the regulatory patchwork elsewhere.

The Governance Maze

The current state of play is a chaotic mix of executive orders, new statutes, and old laws being stretched to cover new tech. Sure, the UK hosted the global AI Safety Summit back in November 2023 to try and get everyone on the same page, but the reality on the ground is still fragmented. Canada, the US, and the EU can’t even agree on a shared definition of AI. For a global enterprise, that’s not just a headache—it’s a massive operational risk.

You’ve got the G7, the UN, the OECD, and the Council of Europe all throwing their hats into the ring. Each has its own vision for the future, and each requires companies to track a different legislative stream. The EU remains the most aggressive player in the room, with their roadmap laid out clearly in the official legislative procedure documentation).

Shifts in Brussels

The European Commission hasn't just been sitting on its hands. They’ve recently pivoted, moving away from some of their more contentious early ideas to focus on the nuts and bolts of infrastructure. Take February 2025, for instance: the Commission quietly pulled the plug on the draft AI Liability Directive. Why? Because the member states couldn't agree on it. Instead, President Ursula von der Leyen pivoted to "InvestAI," a €200 billion push to beef up Europe’s computing power and infrastructure.

The "AI Continent Action Plan," dropped on April 9, 2025, makes the new priorities crystal clear: better hardware, easier data access, and a massive push to upskill the workforce. They’ve even set up an "AI Act Service Desk" to help companies navigate the red tape. It’s a sign that Brussels knows that if they want to regulate, they also need to facilitate.

The GPAI Code of Practice

If you’re a developer or a deployer of General-Purpose AI (GPAI), the Code of Practice is your new bible. Finalized on July 10, 2025, it zeroes in on the big three: transparency, safety, and intellectual property. It’s meant to be a practical roadmap, not just legal theory.

The Commission has set August 2, 2025, as the date for formal adoption. If you want to see what’s expected of you, the third draft of the GPAI Code of Practice is essential reading. It makes it clear that "moving fast and breaking things" is no longer the order of the day—providers now have to prove their systems are secure and play nice with existing copyright laws.

Development Date Primary Focus
AI Safety Summit Nov 2023 International Consensus
AI Continent Action Plan April 9, 2025 Infrastructure & Skills
AI Liability Directive Feb 2025 Withdrawn
GPAI Code of Practice July 10, 2025 Transparency & Safety
Formal GPAI Adoption Aug 2, 2025 Regulatory Implementation

The Compliance Tightrope

So, what does this mean for the average global enterprise? It means you're skating on thin ice. The European Commission’s Q&A on the AI Act talks a lot about "trustworthy environments," but the reality is a heavy lift for legal departments.

Here is where the pressure is currently hitting hardest:

  • Definition Variance: You might be compliant in the US but illegal in the EU, simply because the legal definitions of your model don't overlap.
  • Infrastructure Investment: Aligning with the European Commission's investment priorities for AI infrastructure is no longer optional if you want to remain competitive in the region.
  • Transparency Obligations: The GPAI Code of Practice demands a level of documentation that many companies aren't yet prepared to provide.
  • Intellectual Property: The intersection of training data and EU copyright law is a minefield. You need to know exactly what’s under the hood of your models.

The official announcement regarding the AI Continent initiative frames these regulations as a way to foster innovation while keeping the "high-impact" risks in check. But for the firms on the ground, the goal is simpler: don't get shut down.

The regulatory landscape is slowly, painfully, moving toward a more structured reality. We might see global alignment eventually, but don't hold your breath. For now, the name of the game is tracking the changes in real-time and staying flexible enough to pivot when the next directive drops. The companies that win won't necessarily be the ones with the best tech—they'll be the ones that can navigate the law as skillfully as they write the code.

David Brown
David Brown

Head of B2B Marketing at SSOJet

 

David Brown is a B2B marketing leader and writer focused on trust-driven growth for technical and product-led companies. His work sits at the intersection of content, search, and AI-powered discovery, with a strong emphasis on clarity, credibility, and long-term visibility. As a frequent contributor, David shares experience-led insights on how modern teams can stay discoverable and relevant as search behavior and AI-driven answer systems evolve.

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