Cooley has developed a proprietary product, GO Public, built on ChatGPT Work, to streamline the intensive preparation required for initial public offerings (IPOs). Rather than relying on traditional manual processes—where teams adapt precedents from comparable companies—the firm uses an agentic harness to synthesize client-provided data, public sources, and curated internal precedents. This system creates a tailored starting point for legal review, effectively baking the firm’s institutional knowledge into the AI’s workflow.

Shifting Human Effort to High-Value Judgment

The primary objective of GO Public is not merely speed, but "speed to quality." By automating the initial synthesis of vast amounts of information, the firm redirects human effort toward substantive legal work. This allows lawyers and management teams to prioritize strategic decision-making, disclosure challenges, and complex problem-solving over the manual sorting of documentation. This shift is particularly critical for management teams, as it minimizes the time executives must divert from running their businesses to manage the administrative burden of an IPO.

Establishing Controlled AI Governance

Cooley’s approach emphasizes a controlled workflow where the AI acts as a specialized agent within a defined harness. This architecture explicitly dictates which tasks the agents perform automatically and where human intervention is mandatory for validation. By partnering with OpenAI to combine legal subject-matter expertise with AI engineering, the firm ensures that the system maintains the professional rigor and accountability required for legally defensible outcomes. This model represents a broader shift in capital markets practice, where AI is used to augment professional judgment rather than replace it.