Athena raises USD $2.5 million to speed real estate law

Athena has raised a USD $2.5 million pre-seed round led by a16z Speedrun.

The AI-focused commercial real estate law firm was founded by former employees of legal technology group Legora.

Launched two months ago, the San Francisco-based business says it has signed 22 clients. Rather than selling software to law firms, it provides legal services directly, with AI agents handling document review, draft redlines and client communications before attorneys approve the final work.

Its affiliated law firm charges fixed fees per transaction, typically 30% to 50% lower than what clients paid on recent deals, according to Athena. The company says it completed one purchase agreement turnaround in under 48 hours and cut attorney review time by more than 70% in its first six weeks.

The pitch comes as legal technology companies try to show that generative AI can do more than assist with back-office work. Athena is testing a model in which the law firm itself is built around AI workflows, while lawyers retain responsibility for legal judgment and sign-off.

Chief Executive Officer and Co-Founder Cem Ucan said the model differs from most legal AI businesses.

"Most legal AI companies sell tools to traditional law firms. We took a different approach," said Cem Ucan, Co-Founder and Chief Executive Officer of Athena. "Our AI works hand-in-hand with a law firm designed around it from day one, with experienced attorneys focused on the judgment and negotiation that actually move deals forward."

Commercial real estate is the firm's initial focus. Its lawyers advise on acquisitions, sales and financing, including purchase agreements, due diligence, loan documents and closings.

For clients, the process looks much like using a conventional law firm. Behind the scenes, Athena says its software reviews agreements against deal terms, identifies inconsistencies, prepares mark-ups and uses information from earlier transactions to reflect client preferences.

Direct service

Athena is positioning itself differently from many legal technology providers whose products are sold to firms that continue to bill by the hour. It argues that fixed-fee work creates a stronger incentive to reduce the time spent on drafting and review.

That distinction matters in commercial property, where buyers can make multiple offers in a week and legal delays can affect whether a transaction closes. Athena says investors completing 10 to 15 acquisitions a year could see a meaningful difference from faster turnarounds.

An early client pointed to the feedback loop created by repeated transactions.

"A lot of firms in our industry have an AI task force in name only," said L. Miguel Arce, Chief Executive Officer of Mox, a Texas-based multifamily real estate investment, property management and development company. "What stood out about Athena is that the system learns from every deal, from what the attorneys change to what we prefer. Speed only matters if it's quality work, and the Athena platform gets us both."

Athena says changes made by attorneys and client preferences are fed back into its system so future transactions require less review work. That process is central to whether AI can shorten legal timelines without increasing the burden on senior lawyers.

"I measure our progress by how quickly an attorney can review an AI agent's work and confidently stand behind it. A draft produced in minutes can still leave a lawyer with hours of work. Making that review more efficient is how our platform helps us deliver faster legal services with the quality clients expect from Big Law," said Kieran John Keenan, Co-Founder and Chief Technology Officer of Athena.

Founding team

The founders met at Legora, where both worked on legal AI. Ucan previously worked in Big Law and later in legal innovation roles at Baker McKenzie and Legora. Keenan studied law before building an automated legal reasoning system at his own startup, then became Legora's founding evaluations engineer.

The initial idea emerged when Keenan developed a prototype that could turn hundreds of documents into a first-draft due diligence report, Athena says. José Braz, who worked on legal research systems at Legora, joined Athena as Founding Engineer.

The investment was led by a16z Speedrun, the startup programme backed by venture capital firm Andreessen Horowitz. The investor said Athena's approach reflects a broader view that clients will still expect professionals to take responsibility for work generated with AI.

"As AI becomes more capable, clients will still want experienced professionals who take responsibility for the work. Athena is building around that need, with a system that can improve through real legal work and a team obsessed with scaling fast," said Troy Kirwin, Partner at a16z Speedrun.

The commercial property market could provide fertile ground for that model. Athena says many assets bought in 2021 and 2022 were financed with three-to-five-year loans that are nearing maturity, which could increase refinancing activity and transactional legal work.

That helps explain why the company has started with commercial real estate, a field where timing, document volume and repeated deal structures may suit workflow automation. Its longer-term aim is to expand into other property types, geographies and areas of transactional law.

"We want legal work to be measured in seconds and minutes rather than weeks and months," said Ucan. "Our ambition is to free a 21st-century economy from a 19th-century legal delivery model."