Comparative Perspectives on Deploying Computable Contracts
Abstract
This paper examines the practical deployment of computable contracts in insurance through case studies from the Stanford Center for Legal Informatics (CodeX) and AXA. Computable contracts, which represent contract terms in computer-executable form, are transforming traditional insurance processes by enabling automation and improved accuracy in coverage determination.
The study presents two distinct implementation approaches. CodeX developed Logic Program Insurance Contracts (LPIC), initially focusing on Stanford’s student health insurance to demonstrate the technology’s value in clarifying complex coverage terms. Their deployment strategy prioritized a focused scope to validate the technology while managing stakeholder expectations and gathering user feedback.
AXA’s implementation, developed since 2018, comprises three main products: Contract Studio for policy underwriting, Coverage Check for automated coverage verification, and Contract Analytics for portfolio risk monitoring. These solutions have been deployed across multiple subsidiaries, demonstrating significant improvements in operational efficiency, risk management, and customer satisfaction.
The paper also discusses key challenges in deployment, particularly around change management and stakeholder engagement. Both organizations emphasized the importance of clear communication about the technology’s capabilities and careful integration with existing processes. The research also explores the integration of frontier technologies, specifically Large Language Models (LLMs), to enhance scalability and user experience. Looking ahead, the paper outlines scaling strategies, including expansion to other universities, broader community coverage, and development of comprehensive insurance portfolio dashboards.
The authors conclude that computable contracts represent a fundamental redesign of insurance operations rather than an incremental improvement. Early implementations have shown significant benefits in accuracy, consistency, and transparency, suggesting that this technology is actively transforming the insurance industry by providing clearer, more efficient, and more auditable coverage determinations for both insurers and policyholders.