Macpherson Kelley Deploys Harvey

Harvey is expanding its legal AI deployment across Macpherson Kelley after the Australian firm spent a year testing the platform and competing products. The rollout covers the firm’s lawyers and eight practice groups, extending beyond the initial pilot into broader legal work. Macpherson Kelley, which has operated for 121 years, is using the decision to formalize AI adoption across its practice rather than limit it to isolated teams.

The move highlights a shift in how law firms are assessing legal technology. Instead of treating generative AI as a narrow research or drafting tool, firms are increasingly evaluating whether a platform can support multiple workflows and sustain adoption across an organization. Harvey’s approach at Macpherson Kelley combined software access with work from customer success and legal engineering personnel, who collaborated with lawyers in Australia to identify use cases and develop practice-specific workflows. That implementation model appears to have been central to the firm’s selection process.

Macpherson Kelley’s rollout will build on work completed during the pilot and broaden Harvey’s role in litigation, drafting, document review and other complex matters. Grant Guenther, the firm’s national managing principal, said Macpherson Kelley compared Harvey with alternatives before approving the wider deployment. The firm did not disclose commercial terms, usage targets or productivity results. Harvey Australian Country Manager Ashleigh Whittaker said the vendor would continue working with the firm as its lawyers adopt the platform. The arrangement gives Harvey a substantial reference account in the Australian legal market while giving Macpherson Kelley a structured path from evaluation to organization-wide use.

Industry Implications

The decision reinforces the importance of implementation services in legal AI competition. Platform capabilities may attract initial interest, but law firms also need support translating general-purpose tools into workflows that meet professional standards and fit established practice habits. For enterprise legal buyers, a yearlong assessment suggests that procurement decisions can involve testing across functions, comparison with alternatives and scrutiny from both lawyers and leadership.

Legal operations teams will likely pay close attention to whether broader access produces consistent usage, reliable work product and measurable client value. Vendors, meanwhile, face pressure to demonstrate more than model performance: they must show that their products can be governed, configured and adopted across different practice groups. Harvey’s deployment also places competitive emphasis on the relationship between AI agents, legal research, document analysis and the human support required to put those tools into daily practice.

DreamLegal Perspective

Legal technology vendors should treat enterprise expansion as an adoption and workflow test, not simply a licensing milestone. Legal operations professionals evaluating AI platforms should track use by practice area, the time required to build reliable workflows, lawyer training demands and evidence of improved client service. Macpherson Kelley’s process also suggests that buyers may favor vendors willing to participate directly in evaluation and deployment. The next measure of success will be whether the platform becomes repeatable infrastructure across the firm, rather than a successful pilot with limited operational reach.