How Cooley is accelerating IPO work with ChatGPT
Cooley’s GO Public offering uses ChatGPT Work to surface issues earlier, focus expertise, and help clients reach market faster.
What was announced
OpenAI News released an official announcement regarding How Cooley is accelerating IPO work with ChatGPT on September 26, 2026.
Cooley’s GO Public offering uses ChatGPT Work to surface issues earlier, focus expertise, and help clients reach market faster. Cooley is an international law firm with a reputation for helping companies navigate capital markets and initial public offerings (IPOs). In 2025, the firm advised on 180 deals globally, totaling more than $51.5...
Key technical developments and highlights detailed in the release include:
- Synthesizing legal expertise into an AI product offering: “An IPO is one of the most consequential moments in a company’s life, and it can consume enormous management attention,” says Dave Peinsipp, partner and co-chair of Cooley’s global capital markets group. “GO Public helps us move through the intensive preparation faster so...
- Concentrating human effort where it’s most impactful: With GO Public, Cooley can redirect more lawyer and management time toward the substantive work that drives an IPO. “The amazing thing about integrating ChatGPT Work into GO Public is that it brings intelligence to this very large array of information that had to be manually...
- Transforming an industry: “Traditionally, the legal industry has been relatively change-averse,” Wang says. But AI is giving Cooley an opportunity to rethink how capital markets work gets done while preserving the professional judgment and accountability clients depend on. “As attorneys, we have...
Why this matters for technical teams
Updates across foundation models and developer ecosystems directly affect platform baselines, integration ergonomics, and operational trade-offs.
- Developer ergonomics & scaffolding: New features alter baseline expectations and test whether custom agent glue code can be simplified.
- Operational trade-offs: Upgrades to foundation models redefine reasoning ceilings, token latency, and autonomous tool calling reliability across agent architectures.
- Evaluation priorities: Builders should benchmark this release against their domain-specific evaluation harnesses to measure real-world task accuracy and latency.
Source documentation and primary references: OpenAI News.
ZeroLabs Take
Real architectural progress matters far more than synthetic benchmark vanity scores. While OpenAI News's release notes for How Cooley is accelerating IPO work with ChatGPT showcase impressive capability figures, builders care about three concrete realities: function-calling determinism, end-to-end token latency, and predictable operational cost. If the updates documented in this release deliver verifiable improvements in multi-step task execution without degrading instruction following, it represents genuine engineering value. We welcome capability jumps that reduce brittle agent glue code, but recommend evaluating them on your own task distributions before refactoring production systems.
What ZeroLabs is watching next
- Community stress tests: Tracking independent evaluations of instruction following, needle-in-a-haystack retrieval, and complex coding harnesses.
- Tool-calling determinism: Measuring structured output schema compliance under load across complex agent swarms.
- Frontier competition: Watching how Anthropic, Google, and OpenAI adjust their matching latency and pricing tiers in response.
FAQ
- What was officially announced?
OpenAI News published details on How Cooley is accelerating IPO work with ChatGPT, focusing on frontier model architecture and developer capabilities.
- How does this affect existing developers and users?
Builders should benchmark this release against their domain-specific evaluation harnesses to measure real-world task accuracy and latency.
- Where can I access the complete release details?
The full announcement and documentation are available directly from OpenAI News.