Renewal season contract diffing: Tracking What Changes Between Renewals
Renewal season is when the real risk hides. Knowing what changed between contract versions—accurately, at scale—is a problem that manual review was never built to solve.
Why Changes Matter More Than Terms
A clause that’s been unchanged for five renewals is business as usual. But a clause that got rewritten this renewal cycle should be flagged automatically.
The Problem
Traditionally, especially at busy renewal periods, carriers rely on underwriters to manually compare new renewal documents against previous versions. This means:
- Reviewers scan through 50+ pages looking for anything that looks different
- Minor wording changes get missed because they look similar enough to pass
- The most important changes—the ones that affect coverage or limits—hide in dense paragraphs
- Everyone knows this is unreliable, but it’s been the only option
What Automated Diffing Does
Our platform performs contract extraction and diffing using multiple toolkits. Each has tradeoffs: some are very accurate but slower and more expensive, others are faster and appropriate for high-volume business.
The output is a focused summary of what changed—nothing more.
Linking to Risk Constraints
Diffing contracts isn’t enough. Those changes need to be linked to your organizational structure and risk constraints to matter.
We map extracted changes to your class of business rules and flag anything that touches your binding authority limits, coverage triggers, or policy terms you’re tracking.
How It Works
Contrail tests AI and recommends workflows that are appropriate for each line of business. You upload a file and Contrail analyzes it to produce defined schemas. We work with you to customize workflows that match how your team’s needs.
AI isn’t accurate - other systems don’t work
Very true, they don’t and for multiple reasons. Even if you have been demo’d a working product, likely it uses Anthropic, OpenAI or other frontier models where your data is not safe and in insurance this is a big no-no for contract data.
Contrail has build and tested AI workflows and schemas and continues to test the consistency of output.
But, we should also ask - at what point is technology good enough to add measurable value, does it need to be 100% accurate at all times. If a toolkit can augment your high-value people to be 10%, perhaps even 30% or more efficient in your busiest periods that is a critical business advantage that should not be overlooked.
What Changes for Your Team
Automated diffing already exists. Contrail does this but takes it a step further. Defining exact schemas and integrating them into risk management.
Let’s talk about how this could transform your renewal process.