Brazil‑based legal‑tech startup Enter announced a Series B round that raised more than $100 million, valuing the company at roughly $1.2 billion. Led by Founders Fund with participation from Sequoia Capital, Ribbit Capital, Kaszek, Atlantico and ONEVC, the financing positions Enter as the first AI unicorn in Latin America. Greenberg Traurig, LLP acted as legal counsel for the deal.
What Enter Does
Enter offers an end‑to‑end AI litigation platform that automates the entire workflow of large‑scale lawsuits. Using proprietary large‑language‑model (LLM) agents, the system handles evidence discovery, drafting of pleadings, settlement negotiations and even generates strategic recommendations. Human lawyers in Enter’s network review the AI‑produced content before it is filed, creating a hybrid model that blends machine speed with expert oversight.
The platform’s claim to autonomy is backed by a suite of generative AI tools that can parse terabytes of unstructured data, extract relevant facts, and produce draft responses in minutes. For enterprises such as Airbnb, Nubank, Mercado Libre and LATAM Airlines, the technology promises to cut litigation costs by up to 40 % and reduce cycle times from months to weeks, according to internal benchmarks shared with the press.
Funding and Investor Confidence
The $100 million raise marks a decisive vote of confidence from Silicon Valley’s most active early‑stage investors. Founders Fund, known for backing frontier AI companies like OpenAI and Anthropic, cited “the convergence of LLM capabilities and a clear market need for scalable legal automation” as a primary motivator. Sequoia Capital highlighted Enter’s traction in the LATAM market, where legal spend on external counsel averages 12 % of total operating expenses for large enterprises, according to a 2024 IDC report.
Greenberg Traurig’s deal team, led by Matthew Squires and Maurice Guttmann, noted that the financing will accelerate product development, expand the firm’s lawyer network, and support entry into North American and European markets.
Implications for Enterprise Legal Operations
Enter’s platform arrives at a moment when enterprise legal departments are under pressure to do more with less. Gartner predicts that by 2025, 30 % of routine legal work will be fully automated, a shift driven by cost‑containment and risk‑management imperatives. By automating evidence handling and draft generation, Enter directly addresses this trend, allowing in‑house counsel to focus on strategy and negotiation.
For multinational corporations, the platform’s ability to operate across jurisdictions is a differentiator. Its AI agents are trained on local procedural rules, which reduces the need for separate country‑specific tools—a pain point highlighted in a recent Forrester survey where 68 % of legal leaders cited “jurisdictional complexity” as a barrier to AI adoption.
Competitive Landscape
Enter competes with a growing roster of AI‑enabled legal solutions, including Google Cloud’s Document AI, Microsoft’s Azure Legal AI, and Amazon’s Bedrock‑powered contract analysis tools. However, most of these offerings focus on document processing rather than full‑cycle litigation. Salesforce’s Einstein and Adobe’s Firefly, while powerful in CRM and creative domains, have limited applicability to courtroom workflows.
Enter’s differentiator is its “AI‑litigator” model, which combines LLM‑driven automation with a vetted network of practicing attorneys. This hybrid approach mirrors the strategy of platforms like Kira Systems and Luminance, but Enter pushes further by handling settlement negotiations—a capability not yet mainstream.
What It Means for Enterprise Marketing Teams
While Enter is a legal‑tech product, its launch signals broader implications for B2B marketing teams. The financing underscores investor appetite for AI platforms that can monetize large‑scale enterprise processes. Marketing teams can leverage this narrative to position their own AI offerings as “mission‑critical” infrastructure, drawing parallels to the cost‑savings and risk‑reduction benefits highlighted in the legal space.
Moreover, the rise of AI‑driven litigation could increase demand for compliance‑focused content, case studies, and thought leadership that helps enterprises navigate AI‑related regulatory scrutiny—a niche where marketing can add measurable value. The synergy between enterprise marketing and AI‑driven legal automation is poised to accelerate.
Future Outlook
Enter plans to roll out new modules for regulatory compliance and intellectual property disputes in the next 12 months. The company also hinted at partnerships with major cloud providers to embed its AI agents directly into enterprise data lakes, a move that could streamline data ingestion and further reduce latency.
If the company sustains its growth trajectory, it may set a precedent for other Latin American AI startups seeking unicorn status, potentially reshaping the region’s tech investment landscape.
Market Landscape
The global AI legal technology market was valued at $2.3 billion in 2023 and is projected by Statista to reach $5.1 billion by 2027, growing at a compound annual growth rate (CAGR) of 22 %. Drivers include rising litigation costs, the need for faster dispute resolution, and increasing regulatory complexity. Latin America, traditionally under‑represented in AI funding, saw venture capital inflows rise 45 % year‑over‑year in 2024, positioning it as a hotbed for next‑generation AI enterprises like Enter.
Top Insights
- Series B validates AI‑litigation demand: $100 million raised signals strong market confidence in automating end‑to‑end litigation.
- Hybrid AI‑human model differentiates Enter: Combines LLM speed with lawyer oversight, a rare approach among competing platforms.
- Latin America’s AI unicorn emergence: Enter’s $1.2 billion valuation marks the region’s first AI unicorn, potentially catalyzing further regional investment.
- Enterprise cost savings: Early data suggests up to 40 % reduction in litigation spend for large corporates using the platform.
- Strategic marketing angle: The deal highlights opportunities for B2B marketers to frame AI solutions as essential enterprise infrastructure.
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