We are a thirty-person professional services firm. Our project coordinators spend ten hours a week manually extracting key dates and deliverables from client contracts to setup our projects. How do we build an AI pilot to automate this onboarding step without risking security?

Question

Tyler Smith · Accepted Answer

To build a secure and highly effective AI pilot for contract extraction, you do not need custom software. The best approach is to utilize a private instance of a secure commercial language model that does not train on your data. Create a standard operating procedure for your project coordinators where they upload the client contract to this secure interface. You must supply the system with a highly specific prompt template. The prompt should instruct the AI to extract only three data points: the official project start date, the final completion deadline, and the list of specific client deliverables. Have the AI output this information in a standardized format such as a simple list. Your project coordinator remains fully accountable for the output. They must copy the extracted details, verify them against the original PDF contract, and paste them into your project management system. This process keeps a human in the loop, ensuring accuracy while reducing manual setup time from thirty minutes down to less than three minutes per contract. By tackling this specific administrative bottleneck first, you prove the operational value of AI to your team. You also establish a repeatable workflow that requires zero technical development and exposes zero proprietary data to public models. This builds immediate trust across your operations team and prepares you for broader automation efforts.