Australian Legal Teams Lead the World on AI Use. Few Have Scaled It

Australian in-house legal teams are using AI more aggressively than their counterparts in any other major market. They are also more likely to be stuck.

That is the finding from the 2026 Axiom In-House Legal AI Report, a survey of 528 in-house legal leaders across six countries including Australia. The report’s regional data places Australia in the Asia-Pacific cohort as its largest country group. That cohort has moved past pilots and into active deployment, and is hitting a scaling wall few teams in any region have crossed.

A Lead, With a Catch

Across the global sample, 82% of legal teams are using AI in some form. Only 7% have reached the stage where the work is optimized, that is, measured and running across the department.

Australia’s region tops the chart on active use. 20% of AI-engaged teams in Asia-Pacific report running multiple AI use cases at once, the highest share of any region surveyed. The Americas trail at 14%. The UK sits at 6%.

The same region also leads on the harder metric. 12% of teams report struggling to broaden adoption, against 2% in the Americas and 2% in the UK. And only 3% have reached the optimization stage, the lowest figure in the survey.

For Australia, the read is direct. Australian in-house teams committed early to deploying AI in real workflows. The harder problem now is making it work at scale.

Why Scale is Hard

The report points to four reasons the leap from use to scale is proving difficult. They apply across regions.

The first is measurement. 83% of legal teams have no formal way to track ROI on AI investments. Without metrics, scaling decisions default to anecdote, which does not survive a CFO review.

The second is skill. 40% of teams cite skills gaps as a top barrier to AI value, and only 1 in 10 rate their team’s AI skills as advanced. Most are intermediate, still short of what scaling requires.

The third is configuration. 67% of legal teams use ChatGPT, Copilot, Gemini, or Claude in their general-purpose form, and most legal-specific AI also runs in default settings. Specialist legal work is being processed by off-the-shelf tools with limited tailoring to team templates, playbooks or risk posture.

The fourth is the budget cycle. Every legal team using AI plans to raise spending next cycle. None plans cuts. 81% expect double-digit increases. The money is moving into an environment where most teams cannot prove what their last investment delivered.

Confusion, Not Cost

Among the 18% of legal teams not using AI at all, the reasons are striking. Cost is not the primary barrier. Executive support is not the issue. The most common reasons cited are uncertainty about which AI tools are appropriate for legal work and a lack of clear evidence for positive ROI.

The next round of budget (and every team’s is going up) risks landing in the same gap that produced the scaling wall.

The Emerging Playbook

Asked what they would do differently if they were starting their AI rollout over, legal leaders did not point to a single change. They named several at similar rates: invest in training and change management, pilot low-risk use cases before scaling, set governance and policies early, align AI to clear goals and measure outcomes, and leverage power users and outside partners.

The pattern suggests AI adoption in legal is not a tool problem. It is a program problem. Teams that have crossed into optimization tend to have done several things at once, none of them sufficient on its own.

For Australian teams in the active-use band, the technology is in place. The next gains come from less glamorous work: governance frameworks, training programs, ROI metrics and configuration of existing tools to actual legal workflows.

Where In-House Teams are Turning

98% of legal teams using AI say a trusted outside guide on tool selection would be helpful. 96% say they would engage an alternative legal services provider for AI adoption or implementation. 52% prefer an ALSP over a law firm for AI-enabled work, more than twice the share that prefer a law firm.

The preference reflects a practical calculation. 92% of in-house teams expect lower rates when their firms use AI; few are getting them. ALSPs, with different cost structures, have become the more obvious partner for AI-enabled work.

For Australian legal teams already among the global leaders on AI use, the next move is not the next tool, but to build the infrastructure. Measurement, skills, governance, and configuration will turn active use into measured value, and this remains the wall most of the world is still trying to climb.

To learn more — including the five practices the 7% who have scaled AI share, where ROI actually concentrates across 11 legal use cases, and how in-house teams are reshuffling their preferred outside AI partners — read the full 2026 Axiom In-House Legal AI Report at axiomlaw.com.

Findings cited from the 2026 Axiom In-House Legal AI Report, based on a survey of 528 in-house legal leaders across the United States, United Kingdom, Canada, Australia, Hong Kong and Singapore conducted by InsightDynamo for Axiom in March 2026. Regional figures reflect the Asia-Pacific cohort (n=147 AI-engaged respondents), in which Australia is the largest country sample.