Case Study: The Jeffcoat Firm scales 5x without adding ops headcount with Foundation AI

How The Jeffcoat Firm Standardized, Automated, and Upskilled with Foundation AI

The Jeffcoat Firm, a personal injury law practice, faced a significant operational challenge as its caseload grew. With a manual process for handling inbound documents, the firm was experiencing bottlenecks and single points of failure that made scaling unsustainable. To avoid a major increase in headcount, they turned to Foundation AI to automate and standardize their document ingestion process.

By implementing Foundation AI's solution, the firm automated the intake, naming, and routing of all inbound mail and email attachments. The AI system matched documents to the correct legal matters, applied standardized naming conventions, and alerted the appropriate team members. This resulted in a 5x increase in their active caseload to over 3,000 matters without adding operational staff. Furthermore, Foundation AI cut document processing time by more than 50% and transformed the operation into a training ground for upskilling employees into advanced roles.

The Jeffcoat Firm

Ben Markowitz

Business Intelligence Manager