How law firm Gilbert + Tobin governs and scales AI with OpenAI
Gilbert + Tobin’s enterprise rollout pairs executive sponsorship and formal governance with human accountability, a useful reminder that agent adoption is an operating-model change.
Gilbert + Tobin is scaling **ChatGPT Enterprise** and **Codex** across the firm. The stated operating model combines **CEO-led commitment**, rigorous governance, and human accountability.
Builders introducing coding agents inside a company should assign executive ownership, define governance before broad deployment, and keep people accountable for agent-assisted work.
Gilbert + Tobin is scaling **ChatGPT Enterprise** and **Codex** across the firm. The stated operating model combines **CEO-led commitment**, rigorous governance, and human accountability. Builders introducing coding agents inside a company should assign executive ownership, define governance before broad deployment, and keep people accountable for agent-assisted work. The supplied material gives no rollout numbers, policies, technical architecture, or measured outcomes, so it supports principles rather than a reusable implementation playbook.
This case narrows broad enterprise-adoption claims to an operating principle: scaling ChatGPT Enterprise and Codex requires executive ownership, governance established before expansion, and continued human accountability. It reinforces prior evidence that controls and centralized ownership matter, but supplies neither technical practices nor measured deployment results.