Axiom’s addition of legal AI platform Harvey has enabled in-house legal teams to reduce legal costs, accelerate complex legal work, and preserve human judgement and strategic thinking.
The combination of Axiom’s AI-enabled “Tech + Talent” portfolio and Harvey’s AI-powered research, analysis, and drafting capabilities eliminates the need for in-house teams to invest significant time and resources into identifying and using the right tools.
In a joint press release, Axiom’s chief technology officer, CJ Saretto, said in-house teams are “under real pressure” to deliver operational savings and enhanced outcomes through AI adoption.
“Selecting the right tools is only part of the equation.
“To unlock real value, legal teams need to embed their standards and processes into these tools, train their teams up to a new way of working, and rethink how work is shared across in-house teams, law firms, and [alternative legal service providers (ALSPs)],” Saretto said.
In practical terms, Axiom and Harvey said the partnership enables teams to access legal talent who know and can integrate the platform, rely on playbooks and processes to train teams, and use shared spaces to collaborate securely and unbundle large, complex matters.
Harvey’s chief business officer, John Haddock, said: “Harvey is redefining how legal work is developed and how the industry operates, improving both speed and quality at scale.
“As part of Axiom’s AI Tech + Talent portfolio, that impact is realised through its application alongside experienced legal talent, driving more consistent, high-quality outcomes.”
Sara Morgan, Axiom’s chief revenue officer, said in-house teams are being asked to handle “more complex work, move faster, and demonstrate clearer value to the business”, without the proportional increases in staff members or budget.
“Harvey can be a powerful part of the answer to that pressure.
“Clients who start with Axiom get legal talent that integrates quickly, understands the business context, and can hit the ground running, with AI already built in, plus a partner that has already done the work of making AI practical for in-house teams,” Morgan said.
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