启动Athena 融资 2.5M 种子前资金，用于修改法律AI的收入模式
Athena Circle Corp. 是人工智能本土法律技术的启动公司，它正在实现商业房地产交易的Nitty gritty的自动化，如今称拥有250万ZQ的种子前资金。
该轮由安德烈森·霍罗维茨的加速器程序a16z Speedrun领衔主演。 没有其他投资者的名字。
法律人工智能技术并非新鲜事物，大多数律师事务所仍然在按时向客户开账单，这使得自动化的利润更低。 如果一家律师事务所能利用AI agents在几分钟内完成10小时的合同审查，那么它就会让一大笔可收帐收入从它的手指上滑走，从而扼杀任何可能采用它们的积极性。
雅典娜的联合创始人Cem Ucan(图画，左翼)和基兰·约翰·基南(右翼)以及创始工程师何塞·布拉兹(José Braz)都曾在开创性的法律AI技术创业者Legora AB(英语：Legora AB)中割牙，在那里他们很快意识到AI如何与业界的标准商业模式冲突。 他们想出了完全不同的商业模式，以说服律师事务所相信自动化的好处。 与其直接出售软件工具，不如通过附属律师事务所提供法律服务，每笔交易收取固定费用，通常比标准费率低30%至50%。 这样，它确保收入更好地与效率保持一致。
“大多数合法的AI公司向传统律师事务所出售工具，但我们采取了不同的做法”,Ucan 称。 “从第一天起，我们的AI就与一家围绕它设计的法律事务所携手合作，由有经验的律师集中力量于实际推动交易的判断和谈判。”
启动的重点是使商业房地产收购、销售和融资的复杂情况自动化。 它的AI agents旨在将采购协议和贷款文件的创建和审查自动化，并将处理完成交易所需的所有尽责和行政关闭障碍，同时确保人类律师充分参与作出所有最后法律决定。
通过这种方式，雅典娜基本上照顾着咕噜声的工作，使商业房地产公司更加敏捷。 这是真正的优势，因为商业房地产是一个产业，律师事务所越快就能办到事情就越有可能达成交易这是每个人都想要的最终结果由于投资者经常为每份地产上市提交数十份标书，因此在数小时之内而不是数周或数天之内完成书面手续的能力意味着买家可以在对手知道事情发生之前锁定交易。
Keenan是创业者首席技术官，他解释说，每个新的工作流程都以即将到来的协议为起点，该协议由其AI agents吸收。 他们将交易条款与标准交易单对照，以标出不一致之处，准备红线和起草客户通信。
这部作品以历史交易为素材，使得其agents能够适应每个客户端的谈判风格Keenan 称。 然后，人类律师审查这项工作，在需要时作出战略判断，并在交付给客户之前批准所有交付品。
Keenan解释道，“我用律师能多快地审查AI agent的工作，“在几分钟内起草的草稿仍然可以让一名律师工作几个小时。 提高这一审查的效率，就是我们的平台如何帮助我们按照优质客户的期望提供更快的法律服务。”
雅典娜的agents已经证明了它们的价值，创业公司至今已经注册了22家律师事务所作为客户，agents通过不断学习律师编辑和客户喜好，将审阅时间平均缩短了70%.
L. Miguel Arce，位于德克萨斯州的多家庭房地产和财产管理公司Mox Living的首席执行官，称 Athena在不到48小时的时间内就能够达成完整的购买协议，这是他所见过的最快的周转。 称先生说，“我们工业中许多公司只有一个AI工作队。 “雅典娜最突出的是，这个系统从每一项交易中汲取教训，从律师们的改变到我们所希望的。 速度只关系到质量
济南称雅典娜准备趁铁热打人 2021年和2022年通过短期贷款融资的地产，无论如何，增长正在到来，因为雅典娜还计划扩张到新的市场和财产类别，甚至新的法律领域。
A16z Speedrun的Troy Kirwin 称 AI自动化技术都很好，他表示：「雅典娜正在用一个能够通过真正的法律工作来改进的制度
照片：雅典娜
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Startup Athena raises $2.5M in pre-seed funding to revamp the revenue model for legal AI
Athena Circle Corp., an artificial intelligence-native legal technology startup that’s automating the nitty gritty of commercial real estate deals, said today it has raised $2.5 million in pre-seed funding.
The round was led by Andreessen Horowitz’s accelerator program, a16z Speedrun. No other investors were named.
Legal AI technology is nothing new, but its adoption in the industry has been somewhat haphazard, for the technology has exposed an awkward problem: Most law firms are still billing their clients by the hour, and that makes automation less lucrative. If a law firm can use AI agents to get a 10-hour contract review done in just a couple of minutes, then it’s going to let an awful lot of billable revenue slip through its fingers, killing any incentive there might be to adopt them.
Athena’s co-founders Cem Ucan (pictured, left) and Kieran John Keenan (right) and founding engineer José Braz all cut their teeth at the pioneering legal AI tech startup Legora AB, where they quickly realized how AI conflicts with the industry’s standard business model. They came up with an entirely different business model to convince legal firms of the benefits of automation. Instead of selling software tools directly, it provides a legal service through its affiliated law firm, charging a fixed fee per transaction that’s typically 30% to 50% lower than standard rates. In this way, it ensures that revenue is better aligned with efficiency.
“Most legal AI companies sell tools to traditional law firms, but we took a different approach,” Ucan said. “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.”
The startup is focused on automating the intricacies of commercial real estate acquisitions, sales and financing. Its AI agents are designed to automate the creation and review of purchase agreements and loan documents, and will handle all of the due diligence and administrative closing hurdles needed to get deals done, while ensuring human lawyers remain fully in the loop to make all of the final legal determinations.
In this way, Athena basically takes care of the grunt work, giving commercial real estate firms much more agility. That’s a real advantage, because commercial real estate is an industry where speed is of the essence: The faster a law firm gets things done, the more likely it is to actually secure the deal, which is the end result that everyone wants. With investors often submitting dozens of bids for each property listing, the ability to get the paperwork done in a matter of hours rather than weeks or days means buyers can lock in a deal before their rivals know what’s happened.
Keenan, who serves as the startup’s chief technology officer, explained that each new workflow begins with an incoming agreement that’s ingested by its AI agents. They cross-reference the terms of the deal against their standard deal sheets in order to flag inconsistencies, prepare redlines and draft client communications.
This work is informed by historical transactions, which allow its agents to adapt to each client’s negotiating style, Keenan said. Human attorneys then review this work, make strategic judgment calls when required, and approve all deliverables before they’re sent to clients.
“I measure our progress by how quickly an attorney can review an AI agent’s work and confidently stand behind it,” Keenan explained. “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.”
Athena’s agents are already proving their worth, with the startup having signed up 22 legal firms as clients so far, just two months after launching its service. By learning continuously from attorney’s edits and client’s preferences, its agents have reduced review times by an average of 70%.
L. Miguel Arce, chief executive of the Texas-based multifamily real estate and property management firm Mox Living, said Athena was able to deliver a complete purchase agreement in less than 48 hours, the fastest turnaround he has ever seen. “A lot of firms in our industry have an AI task force in name only,” he said. “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 Athena gets us both.”
Keenan said Athena is primed to strike while the iron is hot. He said the industry is bracing itself for a wave of new commercial deals as properties financed through short-term loans in 2021 and 2022 hit their refinancing deadlines, and he’s hoping that the startup can win a significant amount of that business. In any case, growth is on the horizon, for Athena also plans to expand into new markets and property classes and even new legal domains.
A16z Speedrun’s Troy Kirwin said AI automation is all well and good, but clients still demand to speak to a human who can take responsibility for the work that gets done. “Athena is building around that need with a system that can improve through real legal work and a team that’s obsessed with scaling fast,” he said.
Photo: Athena
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