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This week’s signal was about control points. South Korea is moving to treat AI “acqui-hires” as reportable mergers, a shot across the bow at talent-and-IP deals that look like hiring on paper but function like acquisitions in practice. In the U.S., Nvidia’s training-data fight just got more concrete as a copyright suit over “The Pile” and alleged shadow-library books was allowed to proceed, while in Canada, privacy regulators found OpenAI breached privacy laws in how ChatGPT was trained, leading to another reminder that “move fast” is colliding with consent and accountability.

Meanwhile, the infrastructure race kept accelerating: Anthropic is tapping SpaceX’s Colossus supercomputer to raise Claude capacity for paying users, even floating the idea of orbital compute. And in New York, lawmakers are pushing to clamp down on surveillance pricing, an early preview of how AI-era consumer protection may start with algorithms that quietly change what people pay.

Our feature this week sits right in the practical middle of all that: Emma Legal, a due diligence workspace built to turn data-room overload into a structured, auditable legal view. Faster answers, without losing the thread.

➡️ South Korea moves to treat AI "acqui-hires" as reportable mergers | The Korea Fair Trade Commission plans to revise merger review rules this year to capture "acqui-hire" deals: arrangements where firms absorb a startup's founders, engineers, and IP licenses without a formal takeover. Citing Microsoft's 2024 Inflection AI deal, the regulator aims to align with EU, UK, and Japanese efforts targeting tactics that sidestep merger reporting. Routine hiring stays exempt; organized transfers amounting to asset acquisitions will trigger review. Amendments are expected to take effect before year-end.
^{May 11, 2026, Source: Korea Bizwire}

➡️ Authors' copyright suit against Nvidia over AI training data moves forward | A federal judge has allowed novelists Brian Keene, Abdi Nazemian, and Stewart O'Nan to proceed with direct and contributory copyright infringement claims against Nvidia, alleging it trained Megatron models on "The Pile", a dataset containing nearly 200,000 pirated books from shadow library Bibliotik. Judge Jon Tigar found the authors plausibly linked their works to training data and that Nvidia's download scripts had no purpose beyond infringement. Vicarious infringement claims were dismissed with leave to amend.
^{May 6, 2026, Source: Bloomberg Law News}

➡️ Canadian probe finds OpenAI breached privacy laws training ChatGPT | A joint investigation by Canada's federal, Quebec, BC, and Alberta privacy commissioners found OpenAI collected vast personal data, including health details, political views, and children's information, without consent or adequate safeguards when training ChatGPT. Commissioner Philippe Dufresne cited a "lack of accountability" in OpenAI's rushed launch. OpenAI disputed the findings but agreed to remediation measures. The case, predating the Tumbler Ridge shooting lawsuits, has intensified calls to modernize Canada's privacy laws for the AI era.
^{May 6, 2026, Source: CBC}

➡️ SpaceX's Colossus supercomputer to power Claude Pro and Max | Anthropic has secured access to SpaceX's Colossus supercomputer to expand capacity for Claude Pro and Max subscribers, doubling Claude Code's five-hour rate limits and improving response times. Built in Memphis in 122 days, Colossus runs on 220,000+ Nvidia GPUs. The deal diversifies Anthropic's compute supply alongside AWS, Google, and Nvidia partnerships, and signals interest in jointly developing multi-gigawatt orbital AI compute, with SpaceX arguing terrestrial power and cooling can't match AI's training demands.
^{May 6, 2026, Source: Forbes}

➡️ New York coalition pushes ban on surveillance pricing and electronic shelf labels | New York Attorney General Letitia James and state Senator Rachel May, joined by lawmakers, unions, and advocates, are backing the One Fair Price Package: two bills targeting surveillance pricing. The One Fair Price Act would prohibit the practice statewide, while the Protecting Consumers and Jobs from Discriminatory Pricing Act would ban electronic shelf labels and bar surveillance pricing in grocery stores and pharmacies, addressing concerns over algorithmic price personalization based on consumer data.
^{May 5, 2026, Source: MLex}

There is a particular moment in most transactions where the volume of information goes from being theoretical to overwhelming. A data room opens, documents accumulate quickly, and what initially looked like a simple review exercise turns into a question of navigation: are all required documents provided, what matters, what doesn’t, and how quickly can you tell the difference?

Due diligence has always involved scale. What has changed is the expectation placed on that scale. Clients want answers faster, often before the full picture has even settled, and the gap between what is available and what is actionable becomes more visible with each deal.

Emma Legal sits directly in that aperture. It approaches due diligence in a unique way: not just as a document review exercise, but also as a structured workspace, that answers the question “how can we move from thousands of files to a usable legal view without losing context along the way?”

Channeling frustration into workflow design

Rick van Esch’s background offers a useful entry point into how the workspace has been shaped. Before founding Emma Legal, he worked across capital markets and AI, including time spent on large-scale acquisitions from the client side. That vantage point has translated well.

What stands out in those experiences is not the quality of legal advice, and Rick is quick to acknowledge that, but the time it took to arrive at relatively straightforward answers. Questions that appeared simple from a business perspective often required lawyers to navigate multiple documents, cross-reference clauses, and reconstruct context manually.

Emma Legal seems to be built around that observation. The workspace does not try to replace the diligence process. It gives lawyers a more structured way to execute it. This week, The Legal Wire had the pleasure of connecting with Rick, Emma Legal’s Co-founder and CEO, to explore how his experience shaped the workspace’s approach to structuring due diligence workflows at scale.

Click here to continue reading the full interview

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Why it helps: Turns a messy new document into a clear review plan, including issues, deadlines, and questions, so you can act immediately instead of rereading and hunting for next steps.

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