Confidential review for 120 partners once took several people multiple days. The CEO ran it alone in ChatGPT Work, in minutes.
One of Australia's leading corporate law firms, with work spanning capital markets, mergers and acquisitions, disputes, and technology, operating in a profession built on specialist knowledge and secure handling of sensitive information.
Partners and lawyers needed a way to apply AI to confidential, judgement-driven work without compromising client data or professional standards....
“The real value we've seen from AI so far hasn't been about reducing cost or needing fewer people, but freeing our people to focus on the more human side of their work, meeting with clients, coaching their teams and mentoring the future leaders of our industry.”
Australian law firm advising on complex corporate, M&A, and disputes matters.
AI research and deployment company developing generative models and tools.
Gilbert + Tobin's Annual review processing is part of this use case:
Related implementations across industries and use cases
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Fact-finding across years of dispute docs ran on keyword recall. Now critical answers surface mid-hearing, not after the witness steps down.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Strict banking security kept staff off AI tools. Now 50 in-house agents let non-coders build their own, from checks to security scans.
With 115K annual applicants, managers read resumes between van breakdowns. Now Maria screens, schedules, and offers—managers just decide.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Confidential review for 120 partners once took several people multiple days. The CEO ran it alone in ChatGPT Work, in minutes.
One of Australia's leading corporate law firms, with work spanning capital markets, mergers and acquisitions, disputes, and technology, operating in a profession built on specialist knowledge and secure handling of sensitive information.
Partners and lawyers needed a way to apply AI to confidential, judgement-driven work without compromising client data or professional standards....
“The real value we've seen from AI so far hasn't been about reducing cost or needing fewer people, but freeing our people to focus on the more human side of their work, meeting with clients, coaching their teams and mentoring the future leaders of our industry.”
Australian law firm advising on complex corporate, M&A, and disputes matters.
AI research and deployment company developing generative models and tools.
Gilbert + Tobin's Annual review processing is part of this use case:
Related implementations across industries and use cases
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Fact-finding across years of dispute docs ran on keyword recall. Now critical answers surface mid-hearing, not after the witness steps down.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Strict banking security kept staff off AI tools. Now 50 in-house agents let non-coders build their own, from checks to security scans.
With 115K annual applicants, managers read resumes between van breakdowns. Now Maria screens, schedules, and offers—managers just decide.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.