Defining the information architecture and design system for an AI trial‑risk and negotiation analytics platform — as the company's first product designer.
SigmaSight gives insurance defense teams AI‑powered trial‑risk analytics and negotiation tools to counter the data advantage plaintiff attorneys have built over the last decade.
I joined as the company's first product designer, when the platform was an early MVP with no defined information architecture, no design system, and no established interaction patterns beyond what one or two power users had grown used to.
As the platform added capability, the lack of a coherent IA meant features accumulated instead of composing. There was no shared visual or interaction language for engineering to build against — so inconsistency compounded with every release.
Working in direct partnership with the CEO and CPO, I set the product vision and strategic design priorities for the platform. I led research with both defense attorneys and claims adjusters — two groups who use the platform differently: attorneys focus on case risk and negotiation posture; adjusters focus on portfolio‑level exposure and workflow efficiency.
Reconciling how those two perspectives needed different views into the same underlying data was the key insight that shaped the information architecture: I defined how case data, risk scoring, and negotiation tools related to each other across the product — structured to serve both audiences instead of favoring one.
In parallel, I built the design system engineering now builds against, establishing consistent patterns for how dense, high‑stakes data gets presented — so new features inherit a coherent visual and interaction language instead of starting from scratch.
The IA and design system I established have been the foundation the platform has scaled on through every release since — and remain the standard pattern library the team builds from today.