How law firm Gilbert + Tobin governs and scales AI with OpenAI
See how Gilbert + Tobin combines CEO-led commitment, rigorous governance, and human accountability to scale ChatGPT Enterprise and Codex across the firm.
Opening of the original on OpenAI News
Summary
Australian law firm Gilbert + Tobin scales AI use with ChatGPT Enterprise and Codex. The firm prioritizes CEO-led commitment, rigorous governance, and human accountability. This approach allows them to integrate AI tools across their operations, ensuring responsible adoption and management of advanced AI technologies.
Why it matters
Why it matters: This case study shows a major law firm adopting advanced AI tools, highlighting the need for strong governance in enterprise settings. Gilbert + Tobin's approach emphasizes human oversight, a key concern for regulated industries. This contrasts with more open-ended AI development, showing a path for cautious, structured AI integration. Competitors like Microsoft Copilot also target enterprise, but Gilbert + Tobin's specific governance model offers a blueprint for legal and professional services. Watch for how this model influences other firms and the development of enterprise-focused AI safety features.
Related: Google: Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA · Anthropic: Developing Enterprise Frontier Safeguards with our customers · Microsoft: Content exclusions generally available in Copilot app and CLI · Meta: Trump Administration Sides With OpenAI in New York Times Copyright Lawsuit · xAI: OpenAI Cut Off a Billion-Dollar Customer to Avoid Elon Musk
Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
- How does Gilbert + Tobin manage AI adoption?
- The firm combines CEO-led commitment, rigorous governance, and human accountability to scale AI tools like ChatGPT Enterprise and Codex.
- What AI tools does Gilbert + Tobin use?
- Gilbert + Tobin utilizes ChatGPT Enterprise and Codex to integrate AI across their firm.
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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to OpenAI News.