Enter, the São Paulo-based AI legal platform founded in 2023 by Mateus Costa-Ribeiro, has raised $100 million in a new round led by Peter Thiel's Founders Fund with participation from Sequoia Capital and Ribbit Capital, tripling its valuation to $1.2 billion less than eight months after Founders Fund and Sequoia co-led its $35 million Series A at a $350 million valuation, in a financing that reflects both the company's rapid commercial traction and investors' conviction that Brazil's extraordinarily litigious legal system creates a more urgent and defensible AI legal market than any comparable jurisdiction in the world.
The scale of Brazil's litigation problem requires direct statement because it is the foundational fact that makes Enter's market structurally different from legal AI companies targeting the US or European market. Brazil has approximately 80 million active lawsuits, roughly eight times the number of active cases in the United States despite having a population less than two-thirds the size. Free digital court filing systems introduced in the early 2010s produced a surge in consumer litigation against banks, retailers, airlines, and telecom companies, with plaintiffs filing cases over disputes that in other jurisdictions would be resolved by customer service departments or small claims processes too burdensome to pursue. The result is that Brazil's largest enterprises manage tens of thousands of active cases simultaneously, maintaining in-house legal teams and outside counsel relationships at a scale that would be considered extraordinary for a comparably sized company operating in the US. Enter's platform automates the workflows that legal operations teams use to manage that volume: case intake classification, fraud detection in claim patterns, settlement value recommendations, automated defense drafting, and ruling interpretation, all at the scale required to process 250,000 new cases annually, a number that, as Founders Fund partner Matias Van Thienen noted when leading the Series A, is almost double the entire civil caseload filed annually in Japan.
The client roster Enter has assembled in less than three years of operation is the most direct evidence that the platform is generating measurable value rather than delivering benchmark improvements on legal reasoning tasks that do not translate to operational outcomes. Itaú, Brazil's largest private bank, is a client. Santander's Brazilian operations use the platform. Mercado Livre, Latin America's largest e-commerce company, is a client. Nubank, the digital bank with over 100 million customers, uses it. Airbnb's Brazilian operations are on the platform. These are not pilot customers or reference accounts assembled for a fundraising narrative. They are the largest enterprises in their respective categories in the region, companies with the most sophisticated procurement processes and the highest standards for operational reliability in production legal workflows. The fact that Enter has converted and retained them suggests the platform is reducing litigation cost in ways that are visible in legal department operating budgets rather than just in theoretical efficiency metrics.
Costa-Ribeiro's background is the founder-market fit story that Founders Fund partner Van Thienen explicitly cited as a primary investment rationale, and it is worth examining why. He became Brazil's youngest practicing attorney at 18, graduated from Harvard Law School, passed the New York Bar at 20, and left a fully funded Stanford MBA program to start Enter. That combination of practitioner experience in Brazilian legal operations, elite academic training in US legal frameworks, and the decision to build in Brazil rather than targeting the US market from San Francisco positions him in a very specific intersection: deep personal knowledge of the problem, the credibility to sell to Brazilian legal operations executives who would dismiss a US-trained founder without on-the-ground legal experience, and the technical ambition backed by Sequoia and Founders Fund relationships that allows him to recruit engineering talent that would otherwise leave Brazil for US opportunities. The founder-market fit argument is not just biographical decoration. It explains why Enter can sell into Itaú's legal department while a US-based legal AI startup would struggle to navigate the relationship, regulatory, and language requirements that those accounts demand.
The valuation trajectory, from $350 million in September 2025 to $1.2 billion in May 2026, is the number that most reveals investor sentiment about vertical AI in emerging markets relative to comparable US legal AI companies. Legora, a European legal AI startup, was in talks to raise at a $6 billion valuation as recently as February 2026. Harvey, the US-based AI legal platform backed by Sequoia and OpenAI, was valued at approximately $3 billion in its most recent disclosed round. Enter at $1.2 billion sits below those comparable companies on absolute valuation, but the velocity of its valuation growth, tripling in eight months, is faster than either of the Western comparables over equivalent periods. The growth rate implies that Founders Fund and Sequoia believe Enter's addressable market and competitive position in Brazil are more defensible than the company's absolute valuation currently reflects, and that the $1.2 billion is a checkpoint in a trajectory toward the $10 billion that Van Thienen has explicitly cited as a plausible outcome, not a ceiling.
The data advantage question is the one that separates whether Enter is a productivity software company, a legal services replacement, or something more structurally defensible. Every case the platform processes generates labelled outcome data: what the claim was, what defense was drafted, whether the settlement recommendation was accepted, what the court ruled, and how the AI-generated work performed against the eventual outcome. At 250,000 new cases annually across the largest enterprises in Brazil's most litigated industries, Enter is accumulating a proprietary dataset of Brazilian litigation outcomes that no competitor starting today can replicate quickly. That dataset improves the platform's settlement valuation models, claim fraud detection, and ruling prediction capabilities through a feedback loop that compounds with scale. The more cases the platform processes, the better its recommendations become, and the better its recommendations become, the stickier the client relationships are, because switching to a competitor means losing the accumulated performance data that has calibrated the models to each client's specific litigation patterns. That data flywheel is the moat that the valuation is ultimately pricing, and the $100 million this round provides will accelerate the case volume that makes the flywheel spin faster.
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