Custom software and AI development company. 400+ products shipped, from funded startups to Coca-Cola, Amex, Zapier, Sotheby's.
Miami, FL
Joined June 2020
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Healthcare builds move faster when you scope privacy rules early. We confirm where HIPAA applies, review third-party and AI tools that touch patient data, and plan audit trails to match policy. Karoline, our project manager, explains it in a video. DM us.
The maternal health platform we built had a specific launch timeline.
Weeks one and two: compliance assessment, six tools evaluated, two confirmed.
Weeks four to eight: development.
Week eleven: Google approval. Under two weeks from submission.
The compliance environment a healthcare product operates in shapes the first two weeks.
Private clinic: a design conversation.
Government program: a compliance review.
Health tech startup: mapping regulatory scope for future scale.
Six tools evaluated during refinement, before any architecture decision was made.
Two signed a BAA without restrictions. The architecture was built around those two from the start.
Where does the compliance risk actually live in your architecture?
Which tools will sign a BAA for your specific use case?
Both answered before any integration is selected.
We built no-code apps for years. Now, almost everything we build is custom code.
What changed? AI flipped the economics of software development.
In our latest podcast episode, we break down why we made the switch and what it means for your business.
🔗 lowc.dev/TVrcq
We mapped which formulas encode regulatory requirements, which edge cases need a dedicated code path, and which outputs require a human decision before the build started.
The product worked correctly from the first close cycle.
Financial product validation tests the full range of inputs, including the edge cases.
An error that runs undetected for six months costs more than the same error caught before launch.
That cost scales with how wrong the calculation is and how long it runs.
Most RAG vendors can build retrieval.
Very few can build retrieval that is safe enough for a law firm.
Legal RAG has to solve:
🔒 Privilege
📁 Matter access
📚 Citations
🧩 Document structure
⚖️ Jurisdiction
Before it solves search.
Here’s what that actually requires 👇🧵
So when evaluating a legal RAG development company, ask 5 questions:
1. How is privilege enforced?
2. How are ethical screens handled?
3. What does citation look like?
4. How are legal documents chunked?
5. How are updates and re-indexing managed?
Vague answers are 🚩🚩🚩
We broke down 6 legal RAG development companies and compared:
• Their focus
• Ideal use cases
• Access-control approach
• Document handling
• Deployment support
Read the full breakdown here 👇
lowc.dev/wqvbm
