Healthcare provider contracts—especially in value-based care (VBC)—are among the most complex documents in the industry. A single template can contain more than 40 conditional rules and subtle wording differences, which can alter financial exposure by millions of dollars over the contract lifespan.
Yet, existing legacy Contract Lifecycle Management (CLM) systems only store, route, and archive documents. They were never designed to understand the nuances—the rules hidden in text, comments, or redlines—what they mean, and how the contract behaves.
This results in long manual review cycles that drag on for weeks, missed variations, inconsistent interpretations, and limited visibility into compliance, financial, and operational risks.
As organizations adopt AI contract management software, the opportunity is not just to automate existing workflows but to redesign contract management altogether.
At HiLabs, we’re approaching complex healthcare agreements by treating them not as documents but as executable programs. We’ve built an AI-powered contract template generator that transforms contracts into logic-aware, reusable templates.
Using a pipeline of agentic large language models (LLMs) and a custom execution engine, our system:
Think of it as upgrading provider contracts from static Word files into programs that can be executed, compared, and simulated.
By reframing contracts as executable templates, we unlock new capabilities that traditional tools don’t support. Instead of treating agreements as static text, teams get to work with smart contracts that understand their own rules, conditions, and dependencies. This enables:
Together, these capabilities can make it less laborious for teams to understand agreements, terms, and their downstream implications created in real-world operational environments.
In internal pilots using dummy provider contracts, our system has shown promising results:
These results demonstrate that contract intelligence can be scaled effectively, helping save time and cost by improving consistency, enhancing visibility, and supporting clearer negotiation outcomes.
Our work in redefining how contract management systems function altogether has only just begun. Building on our current results, our future roadmap includes:
Templates that update as new negotiations and real-world usage feed back into the system.
An AI-guided search process that helps find the best clause combinations that balance compliance, risk, and acceptance.
Given the success of Contracts as Code in healthcare, the HiLabs team plans to test this approach in other highly regulated sectors, like financial services, where contracts carry equally dense and complex logic.
We started this work with a simple question: why do we still manage contracts like static text when so much of what matters is hidden in underlying logic?
Our initial pilots have shown that contracts can, in fact, be treated like executable programs. By pulling out the rules buried inside agreements and making them executable, we’ve reduced review time, lowered cost, and created a system that teams can trust.
This shift is not only about efficiency. It’s also about clarity. When logic is made explicit, everyone involved in a negotiation can understand which clauses apply, why they exist, and what changes may mean downstream. While the approach continues to mature, our path ahead is clear: contracts that are faster to generate, easier to compare, and smarter to negotiate.
At HiLabs, we are dedicated to solving the most complex challenges in healthcare data. To discover a clearer, faster way to understand and manage contract logic, book a demo today.