Case Study: Goulston & Storrs achieves stronger client-data security and reduced attack surface with Zscaler Workload Segmentation

Goulston & Storrs Elevates Security of Client Data with ZscalerTM Workload Segmentation

Goulston & Storrs, an Am Law 200 firm with more than 200 lawyers across offices in Boston, New York and Washington, DC, faced rising risk from cloud-based data sharing and modern applications that outpaced traditional, address‑based firewall controls. The firm grappled with exposure of credentials, lateral movement after breaches, complicated policy management, and operational inefficiencies that left client data vulnerable.

By deploying Zscaler Workload Segmentation, the firm adopted application‑level, zero‑trust enforcement without changing apps or network infrastructure; machine learning modeled communications and auto‑generated policies in under 72 hours. The result was a drastically reduced attack surface and continuous trust assessments covering 99.99% of the network, faster time‑to‑value, one‑click enforcement, and significantly lower operational overhead.

Goulston & Storrs

John Arsneault

Chief Information Officer