Journal
Essays and notes on specialty insurance, transactional liability underwriting, and building AI for the specialty market.
Notes · Oct 20, 2026
Modeling Judgment-Heavy Specialty Risk
Years of precedent and claims data, turned into findings underwriters can apply to live risk.
Company Updates · Oct 15, 2026
Lexcel Introduces AI Operating System for Specialty Insurance
One platform connects intake, underwriting and claims, so each firm's expertise grows stronger with every risk it writes.
Insights · Aug 10, 2026
The Hard Thing About AI: Building Your Organization's Institutional Memory
The AI that changes specialty underwriting is not built on a better model, but on the organization's own judgment: written down as a decision framework and kept current as the desk's latest work is folded back in.
Insights · Aug 4, 2026
How to Start an Agentic Underwriting Workbench Without Replacing Your System of Record
An agentic underwriting workbench can start filling the record as soon as submissions arrive, without replacing the systems a specialty team already runs.
Insights · Jul 30, 2026
What Is an Agentic Underwriting Workbench
An agentic workbench builds its own record and becomes the center of the work: workflows run off it, the team mines its history, and every submission improves the next.
Insights · Jul 26, 2026
Leveraging Institutional Memory with Agentic AI in Specialty Underwriting
Past policies, quotes, and claims can work for the team on the next submission.
Company Updates · Jan 8, 2026
We Benchmarked Lexcel Against BigLaw. Here's What We Found.
Lexcel's first draft identified more Material findings than BigLaw's final product in 1 hour 40 minutes versus ~1 month, using just 4 natural-language prompts.
Start with one process.
We’ll run it on Lexcel with you.
Bring a line of business or a review your team wants to move faster, and we’ll walk through it on the workbench, from the first email to your systems.