
Marveri
AI-powered legaltech platform automating due diligence processes for M&A, corporate transactions, and document review with precision.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
N/A | €0.0 | round | |
* | $3.5m | Seed | |
Total Funding | 000k |
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Marveri is a legal technology company founded in 2023 by Connor Acle, Emily Mu, and Samuel Bosch, with its headquarters in Cambridge, Massachusetts. The company's inception traces back to the founders' experiences at MIT and Harvard, aiming to address inefficiencies in legal workflows, particularly within corporate and transactional law. Connor Acle, the CEO, is a former corporate and transactional lawyer who experienced firsthand the frustrations of traditional due diligence processes. This background provides the company with direct insight into the pain points of its target clients. Emily Mu, the CTO, left her PhD program at MIT to co-found the company, bringing deep expertise in machine learning and AI models.
The firm operates in the legal tech sector, specializing in AI-based solutions for law firms and corporate legal departments engaged in mergers and acquisitions (M&A), venture financing, and other corporate transactions. Its business model is centered on providing a Software-as-a-Service (SaaS) platform that automates and enhances the due diligence process. The platform is designed to serve both buy-side and sell-side lawyers, investment bankers, and corporate development teams. By automating laborious tasks, Marveri enables legal professionals to focus on higher-value strategic advice.
Marveri's core product is an AI-powered platform that organizes, analyzes, and synthesizes large volumes of documents in data rooms without requiring conversational prompts. A key feature is its ability to automatically organize and rename entire sets of client documents according to user-defined conventions. The platform can compare dozens of documents simultaneously, flagging inconsistencies and changes. It also identifies missing information, such as unexecuted agreements or absent schedules, and generates supplemental request lists, accelerating the diligence timeline. The system can produce verifiable reports that highlight critical issues and key clauses within minutes of receiving documents, a process that traditionally consumes significant time and resources. This functionality allows legal teams to quickly assess risks, prepare for sales, and ensure comprehensive client onboarding.
Keywords: legal tech, due diligence, M&A, artificial intelligence, document analysis, contract management, corporate law, transactional law, venture capital financing, data room automation, legal workflow, AI legal assistant, document comparison, risk detection, sell-side diligence, buy-side diligence, corporate governance, legal SaaS, compliance, document organization