Observed Signal · Sep 17, 2026 · Product Launch · Source: OpenAI Blog · Impact: 4/5 · Sentiment: Positive
Cooley Builds GO Public AI on ChatGPT Work for IPOs
Cooley, an international law firm specializing in IPOs, has developed GO Public, a proprietary AI product built on OpenAI's ChatGPT Work. This agentic system automates the synthesis and analysis of large volumes of information required for capital markets transactions. It provides a tailored starting point for IPO preparation by integrating client information, public sources, and curated precedents. The system is designed to streamline workflows, allowing lawyers to focus on higher-value judgment and strategic decisions. Cooley's Chief Innovation Officer, David Wang, emphasized that the collaboration with OpenAI combines legal expertise with AI engineering to accelerate the IPO process while maintaining professional standards. This initiative marks a significant step in transforming the traditionally change-averse legal industry.
Major legal firm launches an agentic AI product on ChatGPT Work, showcasing a significant enterprise adoption of AI and potentially transforming capital markets workflows, which is relevant to the broader AI and MarTech ecosystem.
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Key Takeaways & Evidence Grounding
- Cooley developed GO Public, a proprietary AI product built on ChatGPT Work.
- In 2025, Cooley advised on 180 deals globally, totaling over $51.5 billion in deal volume.
- GO Public uses an agentic harness to automate information synthesis for IPO preparation.
- The system allows lawyers to begin with the client itself rather than a precedent from a comparable company.
- Cooley partners closely with OpenAI to combine legal expertise with AI engineering.
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Ontology Mapping & Concepts
Related Market Signals & Shifts
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OpenAI Aims for IPO, Transforms ChatGPT into Productivity Tool
OpenAI is intensifying its enterprise focus as it prepares to go public, potentially as soon as the fourth quarter of 2026. In a recent all-hands, Fidji Simo, OpenAI’s CEO of Applications, said the company is “orienting aggressively” toward high-productivity enterprise use cases and intends to convert ChatGPT’s roughly 900 million weekly active users into higher-compute, revenue-generating customers. CFO Sarah Friar is expanding the finance team with hires including Ajmere Dale (formerly Block) and Cynthia Gaylor (formerly DocuSign), who will oversee investor relations. OpenAI has recalibrated its infrastructure plan—targeting about $600 billion in total compute spend by 2030—and projects more than $280 billion in total revenue by 2030 with near-equal consumer and enterprise contributions. The company earlier declared a December “code red” to accelerate ChatGPT improvements amid competition from Google and Anthropic.
Gilbert + Tobin Scales AI with OpenAI
Australian law firm Gilbert + Tobin details its enterprise-wide adoption of OpenAI's ChatGPT Enterprise and Codex to improve operational workflows. The firm reports 87% active usage among enabled seats, more than double its typical tool adoption. Specific gains include reducing a recruitment research task from four hours to 20 minutes and using Codex to complete audit reports covering 300 entities. Governance and Australian data residency provided the confidence to expand access. Leadership endorsement from CEO Sam Nickless positioned AI as a legitimate tool. The firm also uses the Harvey platform for legal-specific workflows. OpenAI's platform supports a range of functions including marketing, finance, and recruitment, with humans retaining accountability for outputs.
OpenAI Launches ChatGPT for Financial Services
OpenAI launched ChatGPT for Financial Services, a specialized version of ChatGPT Work for financial institutions, designed to automate research, data analysis, and pitchbook creation. Developed with design partners Morgan Stanley and Evercore, it leverages GPT-6 Astra and integrates premium data from Daloopa, PitchBook, LSEG News, Crunchbase, and Quartr. Features include granular citations, enterprise-grade security, administrative controls, and optimized MCP connectors for S&P Global and FactSet. This positions OpenAI as a direct competitor to Bloomberg and FactSet in the financial data and investment banking workflow space, aiming to become the default working environment for investment banking through a hosted data architecture and integration strategy. The launch also highlights a broader trend of AI companies targeting specialized verticals with bundled data and AI capabilities, raising questions about junior banker training and hiring.
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