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    Harvey Integrates Authorized AI Brokers Into Microsoft 365 as B Valuation Looms
    Harvey Integrates Authorized AI Brokers Into Microsoft 365 as $11B Valuation Looms
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Reading: Harvey Integrates Authorized AI Brokers Into Microsoft 365 as $11B Valuation Looms
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Harvey Integrates Authorized AI Brokers Into Microsoft 365 as $11B Valuation Looms

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Last updated: March 4, 2026 3:40 pm
Editor
Published: March 4, 2026
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Harvey Integrates Authorized AI Brokers Into Microsoft 365 as B Valuation Looms


Contents
  • What the Integration Really Does
  • Why This Issues for Harvey’s Trajectory
  • Enterprise Safety Angle


Iris Coleman
Mar 04, 2026 13:47

Authorized AI startup Harvey embeds agentic capabilities into Microsoft 365 Copilot and Phrase, concentrating on enterprise workflow integration as Collection G talks progress.





Harvey, the authorized AI platform reportedly in talks for an $11 billion valuation, introduced deep integration with Microsoft 365 Copilot and Phrase on March 4, embedding specialised authorized intelligence straight into the productiveness suite utilized by most legislation corporations.

The transfer positions Harvey to seize authorized workflow from preliminary analysis by doc execution—a strategic play that might speed up its already aggressive development trajectory. The corporate’s annual recurring income reportedly jumped from $50 million on the finish of 2024 to $190 million, based on current trade estimates.

What the Integration Really Does

Legal professionals can now @Harvey inside Microsoft 365 Copilot to entry authorized analysis, doc evaluation, and precedent retrieval from Harvey’s Vault storage system. When duties require deeper evaluation, customers click on “View in Harvey” to proceed work within the full platform with out dropping context.

The extra vital functionality sits in Phrase. Harvey’s “Agentic Phrase” function handles complicated doc workflows—analyzing prolonged agreements, producing redlines with authorized reasoning, and executing multi-step duties with out customers toggling between totally different modes.

Harvey pitched a particular use case: reviewing a 247-page credit score settlement beneath a 48-hour deadline. Work that historically takes 15-20 hours of system-hopping and context-rebuilding can now keep inside a single Microsoft surroundings.

Why This Issues for Harvey’s Trajectory

The mixing addresses an actual friction level. A LegalLeaders research of 300+ in-house authorized professionals discovered practically 70% spend over an hour each day simply transferring between methods to assemble context. That is workflow tax Harvey goals to remove.

The timing aligns with Harvey’s reported Collection G discussions. Forbes reported on February 27 that Sequoia Capital and GIC are main talks for a $200 million elevate on the $11 billion valuation—roughly 58x ARR if the income figures maintain.

Harvey’s competitor panorama can also be shifting. On March 2, Intapp introduced partnerships with each Anthropic and Harvey, signaling that established legaltech gamers more and more view AI specialists as companions relatively than threats.

Enterprise Safety Angle

Harvey emphasised its enterprise-grade safety posture, noting it by no means makes use of buyer information for mannequin coaching. The platform runs on Microsoft Azure infrastructure with OpenAI fashions, fine-tuned on authorized information. For legislation corporations dealing with delicate transactions, that is desk stakes—nevertheless it’s additionally why Microsoft selected Harvey over constructing equal authorized capabilities in-house.

The corporate claims attorneys on its platform reclaim as much as 25 hours month-to-month. With a whole lot of 1000’s of attorneys reportedly utilizing Harvey and a big share of AmLaw 100 corporations as shoppers, the Microsoft integration extends that attain into each day productiveness workflows relatively than requiring separate utility switching.

Harvey is accepting demo requests by its web site, although enterprise deployment timelines weren’t specified.

Picture supply: Shutterstock


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