What it Takes to Turn AI Adoption Into Firm-Wide Change

Across many law firms, AI is already being used in substantive, client-facing work. But turning that usage into consistent, firm-wide impact remains a challenge. What separates firms that are seeing early success from those where adoption stalls is not the quality of the tools, but whether AI becomes embedded in how work is actually done.

The Conditions That Make the Difference

A consistent pattern emerges in firms that are making the most progress. Adoption begins to scale when it is supported by a set of organizational conditions that reinforce one another. These conditions include:

• Leadership alignment and role modeling, which signal that AI is a strategic priority and a practical part of legal work
• Skills and capability development, which build confidence through repeated, real-world use
• Communication and cultural signals, which clarify why AI matters and normalize its use across teams
• Structures and ways of working, which embed AI into workflows, roles, and expectations
• Technology foundations and access, which remove friction and enable broad, practical experimentation

Individually, each of these areas contributes to progress. Together, they determine whether AI remains a tool used by a few, or becomes embedded in how legal work is delivered across the firm.

How Leading Firms Put These Conditions Into Practice

AI is already in broad use across the legal industry. The SKILLS Legal AI Use Cases Survey, based on responses from leaders at 130 of the world’s largest law firms, shows that AI is in use across core workflows such as drafting, due diligence, and contract review. These are high-trust, high-impact use cases where accuracy, defensibility, and lawyer confidence are critical.

And while firms may be relying on AI for this kind of substantive, client-facing work, adoption at the level of individual lawyers or teams does not automatically translate into firm-wide transformation.

In Beyond the Tools: What it Really Takes to Transform a Law Firm with AI, we explore these five organizational conditions in greater detail, including how they show up in practice, where firms most often encounter friction, and examples from customers who have seen success.

At ArentFox Schiff, partners aren't just endorsing AI, they are using it in their own workflows and sharing how it fits into real matters. Doug Schulz, Innovation Manager describes a turning point when a respected litigation partner invited others to see how he was using AI in practice. What had previously been viewed with skepticism quickly became credible once peers could see the output in context. Moments like this tend to have an outsized effect. They change perception, signal expectations, and create momentum that spreads beyond early adopters.

A similar pattern emerges in how firms approach capability building. Rather than relying on one-time training, leading firms create lightweight, repeatable ways for lawyers to build confidence through real work. Hengeler Mueller introduced short weekly sessions focused on a single practical use case, giving lawyers just enough exposure to apply what they learned immediately. Or, as Pierre Zickert, Counsel & Manager of Legal Technology describes it, just enough time for an espresso. This approach shifts learning from theory to practice. Over time, it helps normalize AI as part of everyday work, not a separate skill.

These changes may seem incremental, but they have a compounding effect. They influence how lawyers engage with AI, how use cases spread, and whether new workflows begin to take hold across the firm.

Read the Full Guide

If your firm is looking for help moving from early adoption to sustained, firm-wide transformation, the guide offers a practical perspective on where to focus next.