$750M Valuation, 18 Months Old, Zero Customers – Then $60M

01 /The Concept

This startup launched 18 months ago and then went dark – until a couple of days ago, when it surfaced with $60M in initial funding from several prominent venture firms at a valuation of $750M straight out of the gate. That kind of number signals the idea is genuinely explosive.

Manifest OS is building infrastructure for the next generation of "AI-native" law firms – companies fundamentally rethinking how legal services get delivered to clients.

Each firm on the platform is formally independent. But all of them operate under the Manifest OS brand and adhere to a unified quality standard. The startup is selective by design, claiming to accept only about 1% of applicants.

For those that make the cut, Manifest OS provides three things:

- The Manifest OS brand – positioned as a guarantee of speed, quality, and accessibility.

- A shared back office staffed by Manifest OS employees who handle administrative functions across all member firms, from intake to invoicing.

- A unified AI platform that attorneys use to draft legal documents, communicate with clients, and collaborate with co-counsel on shared matters.

Manifest OS believes this creates a compounding network effect: more attorneys joining means more cases handled, which makes the AI smarter, which improves client outcomes, which builds brand recognition, which attracts more attorneys – and the flywheel keeps spinning.

For now, the platform operates exclusively in immigration law – for individuals and companies sponsoring work visas for employees. Expansion into other practice areas is on the roadmap.

In 18 months, the platform has onboarded 100+ immigration attorneys, processed more than 3,000 cases for startups and enterprises, and achieved a visa approval rate 15 percentage points above the national average.

02 /Why It Matters

Speed and quality aren't the only ways Manifest OS is disrupting the legal market – it's also making legal services dramatically more affordable.

For decades, legal services have been sold by the hour. AI breaks that model: when AI can execute many tasks at machine speed, billing by the hour becomes indefensible. Manifest OS attorneys are moving to fixed fees per task and, in some cases, outcome-based pricing.

Interestingly, Crosby ([covered here](/review/za-283-dnja-do-400-millionov)) chose the same disruption playbook – raising $60M in March at a $400M valuation. Crosby built a law firm focused on contract and document review, charging a fixed, pre-announced fee per document. AI handles the initial pass; attorneys verify the output and catch what the model missed.

Equally important is the structural choice Manifest OS made: unifying its attorneys under a single brand. That shifts the company from "marketplace" to something closer to a franchise. With shared processes and centralized quality control, Manifest OS owns the customer relationship and the reputation – which is exactly what a franchise model means.

British startup Lawhive ([covered here](/review/dva-bolshih-pljusa-esli-ne-prodavat-ego-otdelno)) is following a parallel path with the same core technology. Lawhive launched as a marketplace – "find the right attorney in 5 minutes" – while using AI to help attorneys work faster. Today its homepage leads with "modern law firm," presenting itself as a single entity. Lawhive has raised $114.2M in total, including $60M in February.

Neither Manifest OS nor Lawhive could operate this model if the legal market weren't so fragmented. In the US, there are roughly 450,000 law firms – about 87% of which have between 1 and 10 attorneys.

The real play: joining Manifest OS and accessing its incoming case flow lets these small firms handle more clients with the same headcount. Even at fixed or outcome-based pricing, higher throughput means higher total revenue.

Both Manifest OS and Lawhive grow in a fertile environment of micro-businesses that they help earn more money. The structural analogy to Uber is apt: Uber dramatically lowered taxi prices, raised service quality, and enabled a huge number of drivers to build their primary income around the platform. The old, slow, expensive taxi market never recovered.

03 /Opportunities

In developed economies, roughly 90% of all businesses are small. In the US, companies with fewer than 50 employees account for 96% of all employers and 40% of the workforce.

AI will accelerate this fragmentation – many tasks will require fewer people and more AI. But small companies need help earning more, not just surviving. They need access to enterprise-grade AI technology they could never afford to build themselves – but without which they soon won't be able to compete.

Manifest OS represents one compelling model: a "center" that gives qualified firms its brand, supplies a client pipeline, provides shared administrative resources, and funds development of shared technology infrastructure.

Modus ([covered here](/review/svoj-ne-za-dengi-a-za-dolju)) recently surfaced from nowhere with $85M in first-round funding for a similar play in accounting. Modus provides technology and shared admin to small accounting firms – but instead of branding them under Modus, it helps them grow their own brands, taking an equity stake in return. Where Manifest OS creates a franchise, Modus creates a holding company.

A third model is shown by Collective OS ([covered here](/review/luchshe-ostatsja-malenkoj-kompaniej)), which raised $2.5M in January. Collective OS helps small companies build partnership networks with each other – delivering comprehensive services to clients that no single small firm could handle alone.

The common thread across all three models: small companies can earn more, spend less, access modern AI, and win clients they couldn't reach independently – while remaining fully or partially autonomous, which keeps them motivated to perform.

So: within which type of model – franchise, holding company, managed network – could you bring together small players on your market?