Harvey, the high-flying legal AI startup, has acquired Hexus — a two-year-old startup that builds tools for creating product demos, videos, and guides — as the company continues its aggressive expansion amid fierce competition in the legal tech market.

Hexus founder and CEO Sakshi Pratap, who previously held engineering roles at Walmart, Oracle, and Google, tells TechCrunch that her San Francisco-based team has already joined Harvey, while the startup’s India-based engineers will come onboard once Harvey establishes a Bangalore office. Pratap adds that she will lead an engineering team focused on accelerating Harvey’s offerings for in-house legal departments.

“What we’re bringing to Harvey is deep experience building enterprise AI tools in adjacent problem spaces,” Pratap said. “This expertise helps Harvey move faster in a market that’s becoming increasingly competitive.”

Hexus had raised $1.6 million from Pear VC, Liquid 2 Ventures, and angel investors before the acquisition. While Pratap declined to share deal terms, she said the structure was aligned around “long-term team incentives.”

The acquisition comes as Harvey looks to cement its position as one of AI’s hottest startups. The company confirmed last fall that it’s now valued at $8 billion after raising $160 million, bringing its funding across 2025 to $760 million. Andreessen Horowitz led that newest round, joined by new investors T. Rowe Price and WndrCo, alongside existing backers Sequoia Capital, Kleiner Perkins, Conviction, and angel investor Elad Gil. (It started the year with a $3 billion valuation after Sequoia led a $300 million Series D round in the company.)

Harvey now claims more than 1,000 clients across 60 countries, including a majority of the top 10 U.S. law firms.

When TechCrunch spoke with co-founder and CEO Winston Weinberg in November, he traced Harvey’s origin story back to a cold email sent to OpenAI CEO Sam Altman. Weinberg, then a first-year associate at O’Melveny & Myers, and co-founder Gabe Pereyra, a researcher who worked at Google DeepMind and Meta and was Weinberg’s roommate at the time, tested GPT-3 on landlord-tenant law questions from Reddit. When they showed the AI-generated answers to attorneys, two out of three said they’d send 86 of 100 responses with zero edits.

“That was the moment when we were like, wow, this entire industry can be transformed by this technology,” Weinberg said.

They emailed Altman on July 4, 2022, got on a call that same morning, and landed their first check from the OpenAI Startup Fund shortly after. According to Weinberg, the OpenAI Startup Fund remains Harvey’s second-largest investor.

Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have been hiding in plain sight.

On its newly launched website, the startup disclosed its plans to develop “world models” in order to “build intelligent systems that understand the real world.” The focus on world models was already hinted at by AMI’s name, which stands for Advanced Machine Intelligence, but it has now officially joined the ranks of the hottest AI research startups.

Building foundational models that bridge AI and the real world has become one of the field’s most exciting pursuits, attracting top scientists and deep-pocketed investors alike — product or no product.

World Labs, a direct rival founded by AI pioneer Fei-Fei Li, became a unicorn shortly after coming out of stealth. After launching its first product, Marble, which generates physically sound 3D worlds, World Labs is now reportedly in talks to raise fresh funding at a valuation of $5 billion. 

There’s little doubt that VCs would be equally eager to invest in LeCun, adding credibility to rumors that AMI Labs might be raising funding at a $3.5 billion valuation. According to Bloomberg, VCs in talks with the startup include Cathay Innovation, Greycroft, and Hiro Capital, to which LeCun is an advisor. Other potential investors reportedly include 20VC, Bpifrance, Daphni, and HV Capital. 

Regardless of who writes the checks, investors may want to note an important detail: As LeCun has made clear, he is AMI’s executive chairman, not its CEO. Instead, that role belongs to Alex LeBrun, previously co-founder and CEO at Nabla, a health AI startup with offices in Paris and New York.

LeBrun’s transition from Nabla to AMI is part of a partnership announced last December by Nabla, which develops AI assistants for clinical care and to which LeCun has been an advisor. In exchange for “privileged access” to AMI’s world models, Nabla’s board supported LeBrun’s shift from CEO to chief AI scientist and chairman, clearing the way for his new role.

As AMI Labs’ CEO, LeBrun will be surrounded by familiar faces. After Facebook acquired his previous startup, Wit.ai, the serial entrepreneur and AI engineer worked under LeCun’s leadership at Meta’s AI research laboratory, FAIR. According to reports, the duo will also be joined by Laurent Solly, who stepped down as Meta’s vice president for Europe last December.

The talent overlap between AMI and Meta likely won’t stop there. LeCun told the MIT Technology Review that his former employer could well be AMI’s first client. But he has also been publicly critical of some of Meta’s strategic choices made under Mark Zuckerberg’s direction. More broadly, the Review interprets AMI Labs as a contrarian bet against large language models (LLMs).

The limitations of LLMs that LeCun has pointed out include hallucinations, which are a serious concern in contexts like medicine, as LeBrun also knows firsthand. AMI Labs’ CEO told Forbes that a big reason he took the role was the prospect of applying its world models to healthcare. But the startup will also target other high-stakes applied fields.

“AMI Labs will advance AI research and develop applications where reliability, controllability, and safety really matter, especially for industrial process control, automation, wearable devices, robotics, healthcare, and beyond,” it wrote in its mission statement. “We share one belief: real intelligence does not start in language. It starts in the world.”

Unlike generative approaches, which LeCun and his team see as poorly suited for unpredictable data such as sensor input, the startup promises that its AI systems will not only understand the real world, but also have persistent memory, the ability to reason and plan, and be controllable and safe.

The startup plans to license its technology to industry partners for real-life applications, but says it also plans to contribute to building the future of AI “with the global academic research community via open publications and open source.” LeCun said he plans to keep his professor position at NYU, where he teaches one class per year and supervises PhD and postdoctoral students.

This means that the French-born researcher will remain based in New York, but he told the MIT Technology Review that AMI Labs “is going to be a global company [that’s] headquartered in Paris.” The news was welcomed by French President Emmanuel Macron, who expressed his pride that LeCun, who is also a Turing Prize winner, chose Paris. “We will do everything we can to ensure his success from France,” he said.

The startup will also have offices in Montreal, New York, and Singapore, but its decision to pick Paris for its headquarters will help consolidate Paris’ reputation as an AI hub, where it will join the ranks of H, Mistral AI and several international labs, including FAIR. It’s fitting, perhaps, that AMI is pronounced a-mee — like “ami” in French, which means “friend,” LeCun has pointed out.