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Jurimesh

Jurimesh provides an AI-powered legal due diligence platform for M&A teams, automating the entire process from data room organization to risk detection and report generation. The platform runs 1,000+ expert-authored checks across 14 legal domains, with every finding cited back to its source document. It integrates directly with major virtual data rooms and can complete a first-pass review in under 20 minutes.

Traction 10/10
Ghent, Belgium · HQ
Founded 2023123K+ followers
  • Artificial Intelligence
  • AI Agents
  • Enterprise Software
  • Legal Technology
  • Software Only
Updated 2 months ago

Funding

Raised to date

€1.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Est. $1.7M

across 1 round

€1.6M · Pre-Seed

Announced Feb 2025 · from article date

Disclosed cumulative: $1.7M

Founders

6 founders

Jorrit Willaert

Co-Founder & CEO

Ghent, Belgium

Since Jun 2024 · 2 yrs 5 mos

  • KU Leuven

KU Leuven Frontend Web Developer

Nick Spanhove

Founding Account Executive

Apr 2025 – Aug 2026

Club Brugge sales developer

Rúben Rodrigues

Lead Designer

Since Apr 2025 · 1 yr 7 mos

VOID Software Digital Product Designer

Thomas Simoens

Systems Engineer

Since Nov 2025 · 1 yr

Sinpex Senior Software Engineer

Jasper De Moor

Co-Founder & Product Lead

Gent, Belgium

Since Oct 2023 · 3 yrs 1 mo

  • Ex-Adobe

CodeSandbox Staff Software Engineer

Marc Coppens

Co-Founder

Since Apr 2023 · 3 yrs 7 mos

Yuki CEO

Product

Problem

M&A legal due diligence is a time-intensive process that requires legal teams to manually sort through thousands of unstructured documents in virtual data rooms, identify potential risks across multiple legal domains, and compile comprehensive reports. Traditional review methods are slow, costly, and prone to missing critical issues buried in lengthy contracts and agreements.

Solution

Jurimesh provides an agentic due diligence platform that automates the entire legal review workflow for M&A transactions. The system automatically recognizes and maps documents from the seller's data room to the request list, then runs multiple AI agents across the entire room to flag potential issues such as change-of-control clauses, unenforceable terms, compliance gaps, and unusual indemnities. Every finding is cited back to its specific clause or source document, and users can ask contextual questions across the data room through a built-in legal assistant. The platform consolidates all findings into a single structured report that remains current throughout the deal, enabling real-time collaboration among deal teams, sellers, and external counsel.

Target Audience

Primary customers are law firms conducting M&A transactions, private equity firms performing target company due diligence, and corporate in-house legal teams managing acquisitions.

Features

  • 1,000+ expert-authored legal checks spanning 14 legal domains, each cited to the specific source clause
  • Automated data room restructuring that recognizes and maps documents without manual sorting
  • Agentic risk detection that scans for change-of-control provisions, drafting defects, contradictions, and compliance gaps
  • Context-aware legal assistant for cross-document research and clause interpretation with cited answers
  • Real-time collaboration tools for working with colleagues, sellers, and external counsel
  • Direct integrations with major virtual data room providers
  • ISO 27001 certified, GDPR compliant, with SOC 2 in implementation; customer data never used to train AI models
This profile is AI-generated and may contain inaccuracies.