From Legal Frustration to Insurtech Innovation: Why Chris Cheatham Left Law to Revolutionize Insurance with AI
Hosts of The Insurance Dudes Podcast — 1,000+ episodes helping insurance agents build elite agencies
Insurance has a document problem. Policies are extraordinarily complex legal instruments that most clients, and many agents, don't fully understand. Coverage gaps, exclusions, and conditions that matter enormously at claim time are buried in language that requires specialized expertise to interpret. Chris Cheatham, a former lawyer, looked at this problem and saw not just a legal issue but a technology opportunity, one that he spent years building a company around.
Tomorrow's full episode with Chris goes deep on his journey from legal practice to insurtech entrepreneurship, the founding of Risk Genius, and the spin-out of Milo, a platform designed to make small business insurance more efficient through AI-powered process automation.
The Lawyer Who Decided Technology Was the Answer
Legal practice involves an enormous amount of document work. Contract review, policy analysis, compliance checking, activities that require expert knowledge applied to large volumes of text. Chris Cheatham saw this and recognized a pattern: many of the most time-consuming aspects of legal work were not tasks that required genuinely novel human judgment. They were pattern recognition tasks, the kind that machine learning was rapidly becoming very good at.
This recognition was the seed of Risk Genius, which applied natural language processing and machine learning to insurance policy analysis. The core idea was that AI could do what only insurance lawyers could previously do: read a policy, identify its key provisions, flag potential coverage gaps, and present the analysis in a format that non-specialists could act on.
The technology had implications across the insurance ecosystem. Carriers could review policies faster. Agents could understand coverage more deeply without spending hours on document analysis. Small business clients could get answers to coverage questions that previously required expensive attorney time. The efficiency unlocked by the technology was substantial, and it opened a path to making insurance genuinely more accessible.
What Milo Means for Small Business Insurance
The Milo spin-out from Risk Genius represents a more focused application of the underlying technology. Small business insurance is a notoriously underserved market: the premiums are too small to justify extensive manual underwriting and advisory resources, but the coverage needs are too complex for truly generic, automated products.
Milo's approach is to use AI to bring efficiency to the small business insurance process without sacrificing the accuracy and coverage appropriateness that complex business needs require. The technology handles the document-heavy, pattern-recognition-intensive parts of the process, freeing up human expertise for the genuinely complex decisions that require it.
For agents who work with small business clients, this kind of technology represents an opportunity: the ability to serve more clients at a higher quality level without proportional increases in the time investment required. The agents who understand and embrace these tools will have a structural advantage over the ones who see technology as a threat.
What the Full Episode Will Cover
Chris joins Craig and Jason for a conversation that covers his career trajectory, the entrepreneurial experience of founding and scaling an insurtech company, and the specific ways AI is changing the insurance process for agents and clients alike.
The episode also touches on some unexpected territory: video games, childhood concerts, and the specific background experiences that shape an entrepreneurial mindset. Chris is a genuinely interesting conversationalist who makes complex technology accessible and finds the humor in a career trajectory that no career counselor would have predicted.
Tomorrow's episode is worth the full listen. Set a reminder.
The Bottom Line
Insurtech isn't a threat to agents who understand it, it's a capability multiplier. Chris Cheatham built his career around creating exactly that kind of technology, and his perspective on where it's going and what it means for agents is one of the more clear-eyed views available from someone inside the development process. Full episode tomorrow.
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