Crucially, knowledge workers—professionals who are not software developers—now represent about 20% of those users. This segment is growing more than three times faster than the developer base that originally defined the product . The fastest-growing use cases are in data analysis, which surged 110% week-over-week, followed by research tasks and the creation of “knowledge artifacts” like reports, memos, and contracts .
The most significant signal of vertical expansion is the creation of “Codex for Legal,” a dedicated suite of AI tools for lawyers. To lead this initiative, OpenAI hired Jason Boehmig, the co-founder and former CEO of the contract lifecycle management (CLM) pioneer Ironclad, on June 1, 2026 . Boehmig, a former corporate attorney at Fenwick & West, led Ironclad from a startup to a $3.2 billion valuation before stepping down as CEO .
This move puts OpenAI in direct competition with Anthropic, which already offers a “Claude for Legal” tool, and Microsoft, which has its own legal AI ecosystem . Boehmig will lead product development for legal-specific AI workflows, plugins, and enterprise agents .
The expansion extends well beyond legal. On June 2, OpenAI launched six new role-specific Codex plugins for enterprise workspaces . These first-of-their-kind integrations target:
These specialized tools bundle domain-specific workflows, instructions, and connections to enterprise applications, effectively creating pre-built AI colleagues for entire departments . OpenAI also announced that legal and corporate financing features will be released soon .
This vertical push is supported by a rapidly expanding ecosystem of over 90 plugins and integrations connecting Codex to more than 62 business applications, including JIRA, GitLab, Microsoft Suite, Databricks, and CircleCI . The company’s ambition is clear: to position Codex as a displacement layer for enterprise SaaS tools, where agentic AI integrates with and automates the workflows that previously required multiple separate applications .
To scale enterprise adoption beyond what its own team could support, OpenAI launched Codex Labs in April 2026. This program embeds OpenAI experts directly inside client organizations for hands-on integration workshops, helping businesses identify high-impact use cases and move from experimentation to repeatable deployment .
OpenAI simultaneously partnered with seven of the world’s largest global systems integrators (GSIs) as official Codex deployment partners: Accenture, Capgemini, CGI, Cognizant, Infosys, PwC, and Tata Consultancy Services . These firms, with their deep enterprise relationships, function as a classic enterprise distribution channel, mirroring the strategies of major software vendors like IBM .
This enterprise sprint is a direct counter-punch to Anthropic’s momentum. In April 2026, Anthropic surpassed OpenAI in US business AI adoption for the first time, capturing 34.4% of businesses versus OpenAI’s 32.3%, according to the Ramp AI Index . Anthropic has built a strong enterprise foothold with products like Claude Code and its own verticalized legal and finance tools .
OpenAI’s response is a dual-pronged strategy. Codex handles the hands-on agentic work, while a separate, $10 billion vehicle called “The Deployment Company,” backed by investors including TPG and Brookfield, provides enterprise AI services at scale, aiming for mid-market clients through captive distribution channels . This framework directly challenges not only Anthropic’s own $1.5 billion enterprise joint venture with Blackstone, Goldman Sachs, and Hellman & Friedman, but also Microsoft’s embedded productivity ecosystem .
OpenAI is no longer merely building a better coding assistant. With a rapidly evolving product, executive firepower from the legal-tech world, an army of consulting partners, and a massive new services vehicle, it is assembling the infrastructure to become the default operating system for enterprise knowledge work.