Harvey AI Secures €50 Million from EQT Growth for Global Expansion

Oct 7, 2025
Harvey AI has announced a €50 million investment from EQT Growth to accelerate its international expansion, as stated in a press release.
Harvey AI Secures €50 Million from EQT Growth for Global Expansion

Harvey AI has announced a €50 million investment from EQT Growth to accelerate its international expansion, announced in a press release. This strategic funding aims to bolster Harvey's presence in Europe, Asia, and North America, leveraging EQT's global platform.

Harvey AI, known for its domain-specific AI solutions in legal and professional services, has already established a strong foothold with 700 customers across 58 countries. The company integrates AI to streamline workflows in areas such as contract analysis and compliance, boasting adoption rates above 90% among its clients, which include 45 of the AmLaw 100 firms and major enterprises like Deutsche Telekom and Bayer.

This investment follows Harvey's $300 million Series E round in June 2025, further supported by leading investors such as Sequoia, Google Ventures, and the OpenAI Startup Fund. The partnership with EQT Growth is expected to enhance Harvey's capabilities and expand its reach in regulated industries, including professional services and private markets.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Legal AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Legal AI AI Funding News AI Brief AI Brief (X)
Free newsletter

Legal AI Weekly

The source for the Legal AI software news, analysis, emerging applications: contract review, e-discovery, research.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.