Composite Study. Representative matters drawn from our engagements. Details are composites and do not describe any single client.
The Situation
An early-stage health-AI company preparing to launch a clinical decision-support tool.
Engagement: regulatory strategy, data-privacy framework, intellectual property protection, and enterprise contracting.
The Challenge
The product sat in the hardest place to be, with no settled answer on whether it fell inside or outside regulatory oversight. Assume it does not and the company risks an enforcement action after launch. Assume it does and it burns months and capital it does not have.
At the same time it was about to sign its first health-system customer, aggregating patient data under contract terms nobody had reviewed for privacy or consumer-protection exposure, and potentially giving away data and IP rights in the process.
Our Approach
We analyzed the product against current regulatory guidance and mapped a pathway the company could document and defend rather than one it hoped would hold.
In parallel we built privacy into the platform instead of onto it: compliant data-use agreements, a data strategy that anticipated federal and state privacy exposure, and IP protection around the proprietary model through NDAs, licensing terms and trade-secret protocols. Then we negotiated the first enterprise agreement so that the health-system deal did not quietly surrender the company’s data rights or undercut its regulatory position.
The Results
The company launched on a documented regulatory position it could explain to investors and regulators alike. Its first enterprise contract protected both its data and its intellectual property, and the privacy framework became the template for every customer that followed.
Key Takeaway
In digital health, where a product sits with regulators and what the first large contract gives away are foundation decisions rather than paperwork. Both get made at launch, whether or not anyone makes them deliberately.
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