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How a Leading Law Firm Is Rewiring Legal Work With Generative AI

Gilbert + Tobin CEO Sam Nickless shares how the firm embeds large language models into core workflows, cutting review time and reshaping client delivery.

Lawyers collaborating with AI interface on legal documents

Australian law firm Gilbert + Tobin is moving beyond pilot projects and embedding generative AI into everyday legal production. Chief Executive Sam Nickless describes a shift where large language models handle first-pass contract review, clause extraction, and precedent search — tasks that once consumed hundreds of associate hours.

From Experimentation to Production

The firm built a secure, private environment that connects its document management system to fine-tuned models. Lawyers now prompt the system for risk summaries, drafting suggestions, and jurisdiction-specific checks. Early metrics show a 40–60 percent reduction in review cycle time for standard commercial agreements.

Nickless emphasizes that the goal is not replacement but augmentation. Senior lawyers validate outputs, while juniors focus on higher-value advisory work. The firm also offers clients a transparent "AI-assisted" billing model that reflects the efficiency gains.

Why it matters for GPU / AI infrastructure: Legal workloads demand low-latency inference, data residency guarantees, and audit-grade logging. Running fine-tuned models on dedicated GPU clusters — rather than shared public endpoints — gives firms control over confidentiality, compliance, and cost predictability.

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By AiGpu Editorial · Editorial rewrite based on public reporting (OpenAI Blog)

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