Manifest OS Raises $60 Million In Series A Funding

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Manifest OS, an AI native legal technology platform, enables a new model of law firms by providing affiliated attorneys with integrated AI tools, centralized operations, and unified branding, primarily targeting immigration law with fixed fee pricing. The company recently raised a $60 million Series A at a $750 million post money valuation, to accelerate platform development and network expansion.

What is Manifest OS?

Manifest OS is a New York-based legal technology company that has developed a proprietary AI native platform to power a new model of law firms. It does not practice law itself but equips affiliated attorneys and firms, particularly in immigration law, with a unified global brand (such as Manifest Law), a centralized back office for administrative tasks like client intake, billing, and collections, and an integrated AI software suite. The platform handles document drafting, client communication, case collaboration, legal research, and workflow automation, allowing lawyers to manage AI agents rather than perform repetitive manual work.

The core thesis is to redesign legal services delivery by embedding AI from the ground up, replacing the traditional billable hour with outcomes-based fixed fee pricing. This aims to deliver faster, more transparent, and predictable services while improving accessibility. Key features include higher than average approval rates for immigration cases, real time visibility into case progress, standardized quality across firms, and support for areas like extraordinary ability visas (EB-1A), employment based green cards, family immigration, H-1Bs, and PERMs. Corporate clients benefit from a single point of contact for global immigration needs. As of early 2026, Manifest OS-powered lawyers numbered around 100, with approximately 3,000 cases signed (including prior firm experience), an average Google review rating of 4.8 stars, and claims of significantly compressed timelines (e.g., cases typically taking 3-4 months handled in about 2 months with client cooperation).

Manifest OS closed a $60 million Series A at a $750 million post money valuation. This round, described by the company as the largest Series A in legal technology history, was led by Menlo Ventures with participation from Kleiner Perkins, First Round Capital, and Quiet Capital (which had backed the company in earlier, quieter stages). The company had operated in stealth for roughly two years prior to the announcement.

Proceeds are earmarked for operational expansion, accelerated development of the AI platform, scaling the network of affiliated firms (including into global immigration services), and growing the centralized back office. The raise reflects strong investor conviction in the model’s potential to disrupt a notoriously resistant industry where AI adoption has lagged due to regulatory, ethical, and structural barriers.

Unlike many legal tech companies that sell point solutions or AI tools to incumbent law firms, Manifest OS refuses to license its software standalone to traditional practices. Instead, it builds or affiliates with new or restructured entities, such as an Arizona Alternative Business Structure (ABS) firm, that operate as fully AI native from inception. This integrated stack includes:

• AI layer: End to end agents for non substantive tasks (scheduling, intake, formatting, reconciliation) under human attorney supervision.
• Operational infrastructure: Centralized paralegals, admins, and support staff handling business development, compliance, and quality control.
• Brand and economics: Unified branding with fixed pricing to eliminate hourly billing unpredictability, aiming to serve clients previously priced out of quality representation (noted as ~80% of Americans in some company statements).

Founder and CEO Dan Mishin drew inspiration from his own costly experience navigating U.S. immigration paperwork. The model emphasizes “Aligned. Intelligent. Human.” outcomes, positioning lawyers to focus exclusively on legal judgment while AI and operations handle the rest. This vertical integration addresses perceived dysfunctions: slow delivery, opaque pricing, and high administrative overhead in legacy firms.

Legal services represent a massive, high margin market plagued by inefficiency, with the U.S. alone seeing widespread complaints about cost and access. Immigration law serves as the initial beachhead due to its document heavy, repeatable nature and growing demand from businesses and individuals. Broader ambitions include corporate immigration and potentially other practice areas.

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The approach aligns with broader AI trends in professional services: shifting from augmentation tools to full workflow reinvention. By controlling the entire delivery chain (software + operations + brand), Manifest OS seeks defensible moats through data flywheels from cases, standardized processes, and network effects as more attorneys join. Challenges in legal tech, such as unauthorized practice of law rules, data privacy, and attorney oversight requirements, are mitigated by keeping licensed lawyers responsible for substantive work while the platform manages support layers.

Investor interest from top tier firms like Menlo, Kleiner Perkins, and First Round signals validation of the “AI native from day one” thesis over incremental tooling. The $750M valuation for a relatively early stage company (post stealth, with limited public metrics) implies high expectations for rapid scaling and market capture in a sector ripe for disruption. Quiet Capital’s continued involvement underscores early conviction.

This funding positions Manifest OS to aggressively recruit attorneys into its network, refine its AI agents with real world case data, and expand geographically or into adjacent legal verticals. Success hinges on demonstrating consistent superior outcomes (speed, approval rates, client satisfaction) at scale while navigating regulatory scrutiny around ABS structures and AI in law. If the model proves out, it could pressure traditional firms to adapt or lose talent and clients to more efficient, predictable alternatives.

Metrics shared publicly remain directional (faster response times, improved efficiency, and strong reviews) but the large check size at this stage reflects belief that the combination of AI automation, centralized ops, and fixed pricing can materially compress costs and timelines without sacrificing quality. The round marks a notable capital influx into legal AI infrastructure, highlighting 2026 momentum in applying frontier AI to regulated knowledge work.

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