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BREAKING07:04 CST · WED, AUG 19
AI

DeepL strikes deal with US legal AI startup Harvey

Cologne-based DeepL will handle over a third of Harvey's legal document translation volume under a new partnership between the two AI companies.

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DeepL has struck a partnership with US legal AI startup Harvey to handle legal document translation, the companies announced on August 19, per Tech.eu. Under the deal, DeepL will process over a third of Harvey's total document translation volume.

DeepL is one of several translation partners Harvey works with, according to Tech.eu. The arrangement covers the translation of contracts, filings, briefs, evidence, reports, and client materials — documents that frequently need to be handled quickly and accurately across languages in cross-border legal work. Jarek Kutylowski, founder and CEO of DeepL, said in a statement: "Working with Harvey brings our specialised Language AI capabilities to even more legal teams around the world, who work across borders every day."

Cologne-based DeepL is known for its AI-powered text translation and writing tools and has more recently expanded into voice-to-voice translation. The company was valued at $2bn in 2024, per Tech.eu. Its client roster includes SoftBank, Mazda, and the law firm Taylor Wessing. Earlier this year, DeepL axed 250 employees as it narrowed its focus toward heavily regulated industries including legal, financial services, pharmaceuticals, and life sciences — sectors where it says the accuracy and security of its technology are a competitive advantage.

Harvey, valued at $11bn and reportedly raising at a $15.5bn valuation, serves more than 2,000 lawyers across over 2,400 organisations, according to Tech.eu. The US startup competes in the legal AI space against Swedish rival Legora, among others.

DeepL framed the Harvey deal as evidence of growing demand for specialised AI tools capable of handling the complexity and sensitivity of legal work. The partnership aligns with the company's stated strategy of targeting regulated industries where generic AI tools are seen as insufficient, and follows its workforce reduction earlier in 2026 as it repositioned around that focus.

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