Integrating GenAI into legal billing is critical when firms juggle multiple insurer guidelines and nuanced legal language. For a leading insurance-defense firm, the legacy keyword system couldn’t cope with subtle phrasing and evolving rules, creating review bottlenecks and exposure to compliance risk.
We implemented a cloud-native compliance engine that automatically extracts billing rules from guidelines, semantically evaluates narratives using historical data, and keeps non-technical teams in control through a no-code UI—backed by RAG and vector search for scale and precision.
The firm needed higher accuracy, faster cycles, and a way to adapt as guidelines changed without heavy manual upkeep or IT dependence. They also wanted onboarding of new insurers to be dramatically quicker while reducing downstream disputes
A GenAI compliance layer that: auto-extracts rules from guidelines; performs semantic narrative checks using historical context; auto-identifies task/activity codes; and exposes all of this through a no-code configuration panel—deployed on a scalable, cloud-native RAG + vector search stack.
Compliance Accuracy
Processing Speed
Reduction in Onboarding time
New Customers
The AI-Powered Legal Billing Compliance Automation system uses a tightly integrated Microsoft-based architecture to automate rule extraction and narrative validation. At its core, Microsoft Semantic Kernel orchestrates specialized AI agents that interact with Azure AI Search for hybrid document retrieval and GPT-4.1 (via Azure AI Foundry) for semantic reasoning and rule interpretation.
A .NET 8 Web API hosts all business logic, manages authentication through Azure Active Directory, and connects front-end, AI, and data layers. Extracted rules and validation results are stored in Azure SQL Database and Cosmos DB, while telemetry and observability are handled through Application Insights and Azure Monitor.
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