Eudia’s Omar Haroun says procurement and revenue teams are contributing increasingly to usage and growth, broadening the demands on technology developed for legal work.
Eudia’s work with chief legal officers is bringing its AI technology to the people responsible for buying and selling.
The company develops AI for legal and contracting work at large, highly regulated enterprises. Co-founder and CEO Omar Haroun says procurement and revenue teams increasingly contribute to its usage and growth. Contracting is the connection: a process shaped by legal judgment whose pace and terms matter throughout the business.
The organizational boundaries were already overlapping. Haroun describes speaking with a chief legal officer who had just inherited procurement responsibilities. Others oversee compliance, human resources or sustainability. The technology is encountering the same breadth of responsibilities as the legal executives Eudia works with.
Eudia’s focus on contracting grew out of those relationships. Agreements accounted for much of the interaction between its legal customers and their businesses, Haroun says. Working deeper into that process brought the company closer to functions responsible for completing purchases, managing customer relationships and generating revenue.
Those users bring distinct expectations. Legal needs an agreement that reflects the company’s positions. Procurement and revenue teams need to complete transactions and understand the obligations they create. The technology’s usefulness depends on how well it serves that shared work.
Haroun identifies two areas of focus: improving review and making contractual information useful in business decisions.
Review begins with organizational knowledge. A system must capture how a company assesses and mitigates risk well enough to produce edits its lawyers can use.
“Doing a red line is easy, doing a good red line is hard,” Haroun says.
He points to turnaround time and velocity as measurable tests. If a tool is inaccurate or cumbersome enough to create more work than it saves, its speed at producing a draft offers little advantage. The test is faster turnaround without corrective work consuming the time saved.
Contract insight extends the purpose beyond completing review. Making information in agreements accessible and useful gives procurement and revenue teams their own reasons to use the technology. The document remains a legal instrument, but its contents also inform how the business manages its commitments and relationships.
That combination has shaped Eudia’s development. Haroun distinguishes its focus on review and insight from building another contract lifecycle management system. He says the company has invested in a data platform connecting with enterprise systems, including Microsoft and ServiceNow, to support work that depends on information distributed across the organization.
The commercial emphasis coincides with closer scrutiny of AI spending. Haroun says companies are moving from encouraging adoption to asking more exacting questions about value. Some are beginning to cap token consumption by department as costs become clearer.
Contracting gives that assessment a practical setting: how efficiently an agreement moves through review and how useful its information becomes afterward. It also brings more people into the assessment.
Haroun’s account puts contracting at the intersection of Eudia’s legal relationships and its expanding commercial audience. Procurement and revenue teams are becoming users of the same technology because they share responsibility for the work. That broadens what the product must accomplish while keeping the company’s approach to risk central to its usefulness.
About Omar Haroun
Omar Haroun is co-founder and CEO of Eudia, an AI company focused on legal and contracting work for large enterprises. Previously, he co-founded Text IQ, which Relativity acquired in 2021. He holds a law degree from Columbia Law School. At Eudia, his work centers on applying AI and organizational knowledge to business processes spanning legal, procurement and revenue, with an emphasis on measurable business value.