Nam says it was "quite obvious" the biggest bottleneck for AI adoption would not be capability but trust. The early versions — AI guard rails sold to developer tools and legal-tech vendors — made sense on paper but nobody bought, because the pain was with the law firms themselves, not the vendors.
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The idea began as a side project while Nam was at the Stanford lab. The first couple of versions tried to build AI guard rails and sell them to legal-tech vendors. "On paper it made sense, but in reality like no one was actually buying the product." The realization was that the pain wasn't with the vendors — it was with the law firms themselves. Flipping the model toward the firms is what turned the early glimpse into what the product is today, which Nam describes as "making trust observable."