Cooley has launched GO Public, an AI-enabled offering developed with OpenAI to support IPO preparation. The purpose-built system is designed to help produce and update Form S-1 drafts using a system of AI agents guided by Cooley's drafting principles, while Cooley lawyers retain responsibility for substantive legal judgment.
The collaboration is a concrete example of a law firm turning its specialist knowledge into a defined AI workflow rather than using a general-purpose chatbot alone. According to Cooley's announcement of GO Public with OpenAI, the offering starts with the client and its information, creates an initial bespoke S-1 draft quickly, and adapts that draft as transaction terms change.
That focus matters because IPO filings are iterative, document-heavy work. A change to deal terms can require coordinated updates across disclosures, legal review, and the broader preparation process. Cooley says GO Public is intended to make preparation faster, more predictable, and more efficient, with potential uses in capital-markets transactions beyond IPOs.
The verified development is specifically the Cooley and OpenAI collaboration. Publicly available first-party material supports Cooley's GO Public launch and its role as an OpenAI design partner for the experience. It does not substantiate separate named OpenAI-built legal tools attributed to Sullivan & Cromwell or Ropes & Gray in the supplied context.
GO Public combines client-specific information, Cooley's capital-markets expertise, and OpenAI capabilities. Cooley describes OpenAI engineers as helping turn the firm's expertise into tools used with ChatGPT Enterprise. The stated aim is not to remove lawyers from the process. Instead, the system is intended to accelerate work that can benefit from structured drafting and revision while preserving professional legal review.
The workflow Cooley describes has several connected elements:
This framing is important. The value proposition is not simply text generation. It is the attempt to embed an established legal process into a tool that can produce a transaction-specific starting point and support revisions as a deal develops.
| Area | Earlier Cooley IPO GO resource | GO Public |
|---|---|---|
| Role in IPO preparation | An established IPO-preparation resource | An AI-enabled offering for Form S-1 drafting and IPO workflow |
| OpenAI collaboration | Not described in the supplied prior material | Developed in collaboration with OpenAI |
| Drafting approach | Not specified in the supplied research | AI agents guided by Cooley drafting principles create an initial bespoke draft |
Cooley's earlier IPO GO material, published in February 2025, provides useful context for the product's evolution. GO Public builds on an existing focus on IPO preparation, but adds an AI-enabled system and a formal collaboration with OpenAI.
For companies considering an IPO, the announcement points to a more structured use of AI in a high-stakes legal process. If the system performs as described, teams could have a faster initial document baseline and a more efficient way to handle drafting changes. That does not eliminate the need for legal expertise, client input, or careful review. It places AI inside a lawyer-led workflow where the firm's standards and judgment remain central. The model may also be relevant beyond IPO work. Professional-service firms often hold valuable knowledge in templates, precedents, specialist processes, and experienced practitioners. A useful AI application has to connect that knowledge to the actual work people do, rather than treating a model as a standalone answer engine. GO Public illustrates one approach: define a narrow workflow, provide relevant inputs, apply firm-specific principles, and retain human accountability for consequential decisions.
For businesses outside the capital-markets market, the practical lesson is similarly narrow but useful. AI initiatives are more likely to be operationally meaningful when they are built around a repeatable process with clear inputs, outputs, and expert review. A generic assistant may help with early exploration, but a workflow-specific system can better reflect the steps, terminology, and review points that make a business process reliable. Important details remain undisclosed. Cooley's public announcement does not set out GO Public's pricing, rollout scope, data-security arrangements, data-governance model, or how it integrates with wider client and firm systems. Those points will matter to prospective users assessing how the offering fits into an IPO process. The announcement also describes potential applicability beyond IPOs, but does not specify which additional capital-markets transactions are covered.
For businesses exploring a comparable move from experimentation to practical AI adoption, Scalevise's AI consultancy can help identify workflows where expert knowledge, repeatable tasks, and human review can produce measurable value. The goal is to choose an appropriate use case, define the required inputs and controls, and plan integration with the tools your team already uses. Request an AI consultation to turn a promising process into a focused implementation plan. What is Cooley GO Public?
GO Public is an AI-enabled offering from Cooley, developed in collaboration with OpenAI, to support Form S-1 drafting and IPO preparation workflows.
How does GO Public use AI in an IPO filing process?
Cooley says the system starts with client information and uses AI agents guided by its drafting principles to generate an initial bespoke S-1 draft and adapt it as deal terms change.
Do Cooley lawyers remain involved in GO Public?
Yes. Cooley states that substantive judgment remains with its lawyers throughout the process.
What is known about GO Public pricing and availability?
The supplied public announcement does not provide pricing, rollout-scope, or availability details.
GO Public is a verified example of Cooley and OpenAI applying AI to a specific legal workflow: preparing and updating IPO registration materials. Its significance lies in the combination of client information, firm drafting principles, AI-assisted document work, and continuing lawyer judgment. The launch offers a practical model for specialized AI systems, while key questions about access, pricing, integration, and data handling remain open.