Cooley Teams Up with OpenAI to Launch GoPublic: How AI Can Accelerate the IPO Process

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Cooley Teams Up with OpenAI to Launch GoPublic: How AI Can Accelerate the IPO Process

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Cooley partners with OpenAI to launch GoPublic, an OpenAI-powered IPO solution designed to reduce the management drain on executives during the IPO process, speed up progress, and surface problems earlier. This article examines its positioning and industry significance.

Article Content

The IPO (initial public offering) has long been one of the most exhausting campaigns for corporate management. Senior executives must invest considerable time providing information and participating in drafting sessions, putting a serious strain on management resources. The law firm Cooley has partnered with OpenAI to launch GoPublic, a solution built on OpenAI technology that aims to change this with AI.

Starting from Client Pain Points: Where Do Executives' Hours Go?

According to the video, Cooley's starting point is always the client. During the IPO process, the people asked to provide information, attend drafting sessions, and handle all manner of tasks are precisely the client's senior management. This work places a significant management-resource burden on day-to-day operations.

Cooley's observation is direct: what is truly scarce in the IPO process is not document templates, but executives' time and attention. Under the traditional model, a large amount of repetitive, coordinative work revolves around executives, stretching out project timelines and delaying the exposure of critical issues.

GoPublic: An IPO Accelerator Built on OpenAI Technology

Cooley's new solution, GoPublic, is built on OpenAI technology. According to the video, the solution can advance the process "much faster," bring substantive content before the relevant people more quickly, and identify problems earlier.

Three keywords are worth unpacking here: speed, substantive content, and early problem identification. Speed means compressing the coordination and drafting cycle; substantive content means reducing pointless back-and-forth so executives face key decision points directly; and early problem identification corresponds to the demand for front-loading risk in an IPO—the earlier legal, financial, or disclosure issues are found, the lower the cost of adjustment.

IPO drafting sessions are a core collaboration mechanism in the IPO preparation phase: the issuer, underwriters, lawyers, and auditors discuss disclosure content, financial metrics, and risk factors line by line around the prospectus (such as the S-1 in the U.S. or the prospectus for China's A-share market). These sessions typically require multiple rounds of back-and-forth, each requiring executives to confirm business details and answer questions regulators may focus on. What makes them time-consuming is not the writing of text itself but cross-institution coordination and information alignment—which is the direct context for GoPublic's emphasis on "compressing the coordination and drafting cycle."

An Industry Signal for Combining Professional Services with AI

Cooley is not an ordinary technology service provider but a law firm deeply rooted in technology and life sciences. Its collaboration with OpenAI sends a signal: professional services firms are combining their own domain knowledge with large-model capabilities to create products for specific high-value scenarios.

An IPO is a classic scenario with a high professional threshold, high collaboration density, and high time pressure. In such scenarios, general-purpose AI tools are hard to deploy directly; domain knowledge must be injected into the process design. GoPublic is positioned not to replace lawyers or executives but to take over the coordination and preliminary analysis work that AI can handle within the process, so that people can focus on judgment and decision-making.

Professional services firms refer to organizations whose core deliverables are professional knowledge and judgment, such as law firms, accounting firms, and management consultancies. Their business models have long relied on billing for human time, with knowledge accumulated in the experience of partners and project teams. Combining large models with proprietary domain knowledge means such institutions can productize repetitive document review, information extraction, and preliminary risk identification—thereby changing the value distribution of "selling experience by the hour," which is why collaborations like Cooley's are drawing attention.

Practical Significance for Companies

For companies preparing for an IPO, the value of such tools lies in easing management's time conflicts. Executives no longer need to switch back and forth between business operations and listing preparation, and substantive issues can be brought to the table earlier. For law firms, the efficiency gains from AI tools may translate into service-model differentiation.

Objectively, the video focuses on product positioning and value proposition and does not disclose GoPublic's specific functional modules, technical implementation details, or actual project data. How much of the substantive work AI can shoulder in a highly compliance-sensitive scenario like an IPO still requires more practical validation.

Compliance-sensitive scenarios refer to business environments where the cost of error is high and regulatory rules are strictly binding. An IPO is one such case: misstatements in a prospectus may trigger liability under securities law, financial data must be audited, and regulators will conduct multiple rounds of inquiries on filed materials. Therefore, AI in such scenarios is typically positioned in a supporting role—handling information organization, preliminary comparison, and issue flagging—while final judgment and signing responsibility remain with lawyers, auditors, and executives. This explains why the article stresses that GoPublic "is not a replacement for lawyers or executives."

One-line Summary

Cooley teams up with OpenAI to launch GoPublic, using AI to compress the IPO process and ease the time drain on executives.

Paragraph Summary

The article introduces GoPublic, an IPO solution launched by the law firm Cooley in partnership with OpenAI, aimed at solving the pain point of executives' management resources being consumed by extensive information requests and drafting sessions during the IPO process. Built on OpenAI technology, GoPublic emphasizes advancing the process faster, bringing substantive content forward sooner, and identifying problems earlier. The article views this collaboration as an industry signal that professional services firms are combining domain knowledge with large models to build products for high-value scenarios, and notes that its positioning is to take on coordination and preliminary analysis rather than replace lawyers or executives. It also cautions that the video does not disclose specific features or technical details, and how much AI can actually shoulder in compliance-sensitive scenarios remains to be verified.