What actually works when you bring AI into legal, insurance, and compliance operations. No hype, no vendor fluff, just honest lessons from real implementations.
We help legal, insurance, and compliance teams automate the stuff that eats up their week. Most projects go live in 2‑4 weeks.
After building over 20 production AI systems for legal, insurance, and risk teams at LexisNexis Risk Solutions, here are the lessons that only show up after the demo is over: what actually breaks, what surprises everyone, and why most AI projects die before they ever matter.
Manual document review costs far more than salary alone. Error rates, rework, and missed capacity compound the burden. Here's a concrete breakdown of what your team is actually spending, and what a real automated pipeline looks like in practice.
Most enterprise AI projects never reach production. The reasons are consistent, predictable, and largely avoidable if you know what to look for before you start.
Most AI vendors pitch claims automation as a switch you flip. The reality is more specific: certain parts of the claims workflow hand off to AI cleanly, and others don't. Here's an honest look at where the line is, and how to build toward it without disrupting your current team.
Most AI consulting timelines stretch to months because of process overhead, not technical complexity. Here's exactly how I scope, build, and deliver working AI systems in 2-4 weeks without cutting corners.
