BusinessSep 1, 2026, 1:00 AM

Gilbert + Tobin deploys ChatGPT Enterprise across legal ops

TickrWire Editorial Desk·Sep 1, 2026, 1:00 AM·3 min read AI-assisted, human-reviewed

Reported by OpenAI Blog: How law firm Gilbert + Tobin governs and scales AI with OpenAI. Analysis and context written by TickrWire.

30-second summary

Gilbert + Tobin, a major Australian law firm, has rolled out ChatGPT Enterprise and Codex firm-wide, driven by CEO Sam Nickless and supported by rigorous governance. The adoption rate, with 87% of enabled seats active, more than doubles the firm's typical tool usage, and specific workflows such as recruitment research have been cut from four hours to about 20 minutes.

TickrWire
Gilbert + Tobin deploys ChatGPT Enterprise across legal ops
Key takeaways
  • 87% of enabled seats active, more than double the firm's typical tool adoption
  • Recruitment research cut from ~4 hours to ~20 minutes
  • Codex audit reports for 300 entities avoided a full day of manual work
  • Custom GPT 'digital twin' of CEO helps pressure-test ideas
  • Governance includes approved tasks, data-handling guidance and Australian data residency
Full story

Gilbert + Tobin, one of Australia's premier corporate law firms, has integrated ChatGPT Enterprise and Codex across its operations under the steady hand of chief executive Sam Nickless. From the outset the firm framed the rollout not as a replacement for legal judgment but as a means to elevate the operational work that underpins its advice. CEO-led commitment, rigorous governance structures, and a focus on human accountability have been the pillars of the deployment. The firm avoided mandatory usage quotas, instead showcasing concrete use-cases and keeping staff answerable for outcomes. As of June 2026, 87 percent of enabled seats were active, a rate more than double the firm's typical adoption for other software tools.

The firm's first wave of adoption targeted operations teams, where practical experiments could be vetted in a controlled setting. Once confidence grew, ChatGPT Enterprise spread to marketing, business development, recruitment, finance, technology and parts of the legal practice. Each function received role-specific enablement: the business transformation team held tailored meetings, produced internal videos and ran use-case challenges. A custom GPT, trained on Nickless's writing, priorities and business context, acts as a 'digital twin' that helps executives pressure-test ideas before involving the CEO. Meanwhile, Codex has been employed to finish defined, multi-step operational tasks under human review.

Concrete results illustrate the time savings. A recruitment research and data-extraction job that previously took about four hours now finishes in roughly 20 minutes. A reference-processing workflow for each candidate saves an estimated 25 minutes, supporting a team that handles high hiring volumes. In the audit arena, Codex prepared reports covering 300 entities, eliminating a full day of manual work across the entire workflow. The tool also renamed 1,100 files for system upload, a task that would formerly have required days. For compliance-related checks - conflict, KYC, AML and know-your-customer - selected processes that once needed up to eight hours can now be completed in minutes.

Governance and data-security were woven into every layer of the rollout. Clear guidance defined which tasks were approved, what information employees could input, and how outputs should be reviewed. The firm examined contractual protections, role-based access, data-processing requirements and administrative controls before moving to an OpenAI environment with Australian data residency. This localisation gave the firm greater confidence to broaden access while meeting internal policies and client expectations. Human oversight remains mandatory: every AI-generated result must be constrained by the task, checked for accuracy, and signed off by a qualified professional before it is used.

When compared with other firms' AI experiments, Gilbert + Tobin's approach stands out for its structured enablement and measurable adoption. Many organisations pilot generative AI in isolated teams, but the law firm's firm-wide programme, backed by senior-leader participation and role-specific training, achieved an active-user rate that outpaces typical software uptake. The combination of a digital-twin GPT for strategic questioning and Codex for operational automation provides a template that balances innovation with the professional judgment expected in legal services. Competitors have yet to publish comparable metrics that combine such high adoption with such rigorous governance.

Potential limits and risks remain. Output quality from ChatGPT and Codex still depends on careful prompt design and human verification; errors could affect client matters if not caught. The firm's reliance on OpenAI's platform introduces cost considerations, especially as usage scales beyond the current enabled seats. Moreover, the legal sector's regulatory environment is still catching up with AI-assisted workflows, and ongoing compliance reviews are needed to ensure that data-privacy obligations are met across jurisdictions. The firm acknowledges these open questions and is monitoring them as it expands access.

Looking ahead, Gilbert + Tobin plans to extend access to ChatGPT Work and Codex as the necessary controls mature. The longer-term vision is an interconnected working environment where employees can draw on approved organisational context, run operational tasks and deliver finished outputs without jumping between disparate systems. Stakeholders should watch for policy updates from regulators, the firm's next round of governance refinements, and any broader market shifts that influence how professional services adopt generative AI at scale.

Why this matters
Developers

gains insight into enterprise-wide AI enablement and governance practices

Businesses

law firms and other professional services can benchmark structured AI rollout and productivity gains

Investors

adoption metrics signal sustainable AI integration in regulated sectors

Everyone

highlights how a traditional professional services firm is reshaping internal workflows with generative AI while preserving accountability

Glossary
ChatGPT Enterprise
OpenAI's enterprise-grade version of ChatGPT with enhanced admin controls and data residency options
Codex
OpenAI's code-generation model that can complete multi-step programming tasks under human review
digital twin
a custom GPT built on a leader's writing and context to assist idea-pressuring without making decisions
Sources · 1
Read next
More stories
Path to Astra: critical capabilities and frontier safeguardsSecurity

Path to Astra: critical capabilities and frontier safeguards

OpenAI’s Astra model is the first to meet the Critical cybersecurity capability threshold under its Preparedness Framework, enabling autonomous discovery of unknown vulnerabilities and exploit chains.

Polimill builds Japan's next-generation public AI infrastructureAI Tools

Polimill builds Japan's next-generation public AI infrastructure

Polimill introduced QommonsAI, an OpenAI‑powered platform that now supports roughly 1,050 Japanese local governments and 550,000 public employees, aiming to become a shared operating system for municipal work.

India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone callFunding

India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call

Indian voice AI startup Ringg has raised $10 million in a Series A extension led by Peak XV Partners, bringing its total funding in the round to $15.5 million.

Robotics startup Generalist reaches $3B valuation, sources sayRobotics

Robotics startup Generalist reaches $3B valuation, sources say

Robotics startup Generalist secured a nearly $200 million funding extension led by 8VC, lifting its valuation to $3 billion just months after a major Series B round.

AI Method Reveals What Genomic Models Learn From DNA and Exposes Hidden Experimental BiasAI Research

AI Method Reveals What Genomic Models Learn From DNA and Exposes Hidden Experimental Bias

Researchers at the Stowers Institute introduced PISA, a pairwise influence by sequence attribution method that visualizes, at single‑base resolution, what deep‑learning models learn from DNA and can strip experimental bias from MNase‑seq data.

Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local StepsAI Tools

Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps

Perplexity introduced Portable Computer, a bundled local‑first AI agent system that runs on NVIDIA DGX Spark and eliminates per‑token fees for on‑device processing.