What separates leading legal teams from the rest
New research reveals the specific behaviours and strategies that distinguish AI-mature legal departments- and why geography and size matter more than you think.
The legal profession’s AI transformation isn’t happening uniformly – it’s creating distinct tiers of capability that could become impossible to bridge once fully established. Our latest research on more than 600 senior legal leaders reveals not just who’s ahead, but how they got there and what it means for everyone else.
While our initial research preview highlighted the AI divide, this deeper analysis exposes the organisational DNA that separates truly mature AI adopters from those still struggling to move beyond experimentation. Importantly, the insights are both encouraging and sobering: there are clear paths to AI maturity, but the window for catching up is closing faster than many realise.
Defining AI maturity beyond tools
Many legal departments think they’re making AI progress because they’ve started using ChatGPT or signed up for Copilot. However, true AI maturity goes far beyond tool adoption. It’s about embedding AI into strategy, operations, and culture.
Access + Usage + Strategic Implementation = AI Maturity
We categorised legal departments into three distinct maturity levels:
- Mature (21%): Comprehensive access with high regular usage rates and strategic deployment across multiple legal functions.
- Developing (66%): Broad access but inconsistent implementation, often fragmented across the organisation.
- Immature (13%): Significant access barriers with minimal actual usage, mostly in research phases.
In other words, access alone isn’t enough – capability and strategy matter.
AI Maturity Blueprint in practice: Global geography and adoption
The global AI maturity landscape reveals stark regional differences:
The Leaders:
- Singapore – 33% mature: The highest maturity rate globally.
- Canada – 28% mature: Second-highest adoption rate.
- Australia – 26% mature: Strong performance in Asia-Pacific.
The Middle Tier:
- United States – 23% mature: Moderate performance despite a large legal tech market.
- Germany – 18% mature and UK – 17% mature: Below-average maturity rates.
The Outlier:
- Switzerland – 0% mature: No legal departments achieved mature status.
These regional variations are striking. For example, what factors enable Singapore’s legal departments to achieve such high maturity rates? Why do some traditionally innovation-forward markets show more modest adoption?
Understanding these underlying dynamics could be crucial for legal departments seeking to accelerate their AI capabilities.
Does size matter?
Yes – but not in the way you might expect.
The Sweet Spot: Mid-Sized Departments (11-50 people)
- 56% achieve mature status – the highest rate across all size categories.
- Large enough for dedicated AI initiatives, small enough to maintain agility.
- 63% immature – the highest rate suggests opportunity for growth.
The Laggards: Enterprise Departments (51-100+ people)
- Only 18% achieve maturity – surprisingly low given resource advantages.
- Bureaucratic inertia and risk-averse cultures slow decision-making.
- Complex stakeholder alignment likely delays implementation.
The Strivers: Small Departments (1-10 people)
- 27% mature – impressive for resource-constrained teams.
- Necessity could drive innovation; limited staff may force efficiency focus.
- Direct decision-making authority could accelerate adoption.
Therefore, this size-maturity relationship suggests that organisational agility can often trump raw resources in AI implementation.
The procurement blind spot
Perhaps the most concerning finding involves how legal departments acquire AI tools. Across all maturity levels, 45% handle AI procurement entirely in-house—identification, vetting, and payment—despite lacking technical expertise to evaluate complex AI systems.
Only 4% of legal departments partner with IT end-to-end for AI procurement, representing a massive missed opportunity for technical expertise and risk mitigation. Even mature teams show this pattern, suggesting that overconfidence could be outpacing technical competence in critical procurement decisions.
This DIY approach creates several risks, including:
- Security vulnerabilities from inadequately vetted tools
- Integration challenges with existing systems
- Compliance gaps in data handling and privacy
- Suboptimal tool selection based on marketing rather than capability
AI Maturity Blueprint and the investment reality check
While 76% of departments are increasing AI investments, the regional variations tell a deeper story:
- Hong Kong – 95% increasing budgets, 27% average increase – market pressure driving aggressive investment.
- Germany – 75% increasing budgets, 33% average increase – methodical but substantial commitment.
- Switzerland – 51% increasing budgets, 9% average increase – conservative approach that may create disadvantage.
As a result, cautious regions risk falling permanently behind as AI-mature departments compound their advantages.
The law firm factor
External counsel relationships add another layer of complexity. With 79% of law firms using AI but only 6% passing savings to clients, in-house departments face a cruel irony: they must invest in AI capabilities while their outside counsel benefits from AI efficiencies without sharing cost savings.
This dynamic makes internal AI maturity even more critical. Departments that develop sophisticated AI capabilities can reduce dependence on external counsel for routine work, capturing efficiency gains directly.
How to close the gap
For legal departments seeking to accelerate their AI maturity, the research points to several key strategies:
- Focus on implementation over access: Mature departments excel at systematic deployment, not just tool acquisition.
- Prioritise governance infrastructure: Policies, training, and risk frameworks enable sustainable AI adoption.
- Leverage external expertise strategically: Combine internal capabilities with external AI specialists, avoiding procurement blind spots.
- Think regionally and competitively: Understand your competitive landscape and calibrate investment urgency accordingly.
The bottom line
AI maturity isn’t about technology – it’s about organisational transformation. The departments pulling ahead share common characteristics: strategic vision, systematic implementation, risk-managed experimentation, and organisational agility.
For the 79% of departments still developing or immature in their AI capabilities, the research offers both hope and warning. Clear paths to maturity exist, but they require commitment beyond tool adoption.
The maturity gap is real, measurable, and growing—but it’s not insurmountable.
Download the full report “The AI Legal Divide: How Global In-House Teams Are Racing to Avoid Being Left Behind” for comprehensive insights into AI maturity, budgets, adoption trends, and strategies.
This article was written by Kelsey Provom, at Axiom.
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