A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
A global leader in enterprise open-source software, with a lean legal team operating across EMEA, the Americas, and APAC, managing commercial negotiations, M&A, and regulatory work across multiple jurisdictions where every contract gates revenue.
As the company grew through acquisitions, the lean legal team was outsourcing its most complex work, including M&A diligence, regulatory matters, and...
“Harvey doesn't just save us time; it buys us focus. By reclaiming our most complex work, we empower our lawyers to zero in on the nuance and strategy that truly move the business forward.”
Open source enterprise Linux, cloud-native, and edge infrastructure software.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
SUSE's Contract review is part of this use case:
Related implementations across industries and use cases
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Manual contract review couldn't keep pace with clients. Lawyers now use AI to extract structured issue lists from massive document sets.
Email intake buried lawyers in routine contracts. Now, AI handles first-pass reviews and lets staff generate compliant agreements.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
A global leader in enterprise open-source software, with a lean legal team operating across EMEA, the Americas, and APAC, managing commercial negotiations, M&A, and regulatory work across multiple jurisdictions where every contract gates revenue.
As the company grew through acquisitions, the lean legal team was outsourcing its most complex work, including M&A diligence, regulatory matters, and...
“Harvey doesn't just save us time; it buys us focus. By reclaiming our most complex work, we empower our lawyers to zero in on the nuance and strategy that truly move the business forward.”
Open source enterprise Linux, cloud-native, and edge infrastructure software.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
SUSE's Contract review is part of this use case:
Related implementations across industries and use cases
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Manual contract review couldn't keep pace with clients. Lawyers now use AI to extract structured issue lists from massive document sets.
Email intake buried lawyers in routine contracts. Now, AI handles first-pass reviews and lets staff generate compliant agreements.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.