By The Numbers: What Surveys Show About Law Firm AI Adoption 

Many firms already have lawyers or staff using AI to draft a first pass, summarize a file or distill a long email chain. Firms have integrated these tools into day-to-day work quickly. At the same time, many firms are still working through the operational details that support consistent use, including policies, training, and integration with existing systems. Recent survey data on solo and small law firms shows a similar pattern. Adoption is high, while operational and business changes are still developing. 

In 2025 and 2026, several legal tech giants surveyed law firms and legal departments large and small about how they are using generative artificial intelligence. Taken together, surveys from Clio, Thomson Reuters and 8am show how law firms are using and deploying AI tools. 

What the Solo and Small Firm Survey Shows 

In Clio’s 2026 survey of U.S. legal professionals, solo and small firms report very high AI adoption (71% of solo practitioners and 75% of small firms). But only about a third of those firms report an associated revenue increase (32% of solos and 31% of small firms), with many saying AI has had no impact on revenue yet or that it is too early to tell. Firms are getting work done faster and with less friction, but the business model does not automatically convert saved time into growth. 

The biggest reason is pricing. The same report notes that 86% of solo firms and 78% of small firms have not adjusted their pricing models to account for AI use. For firms still billing by the hour, efficiency can function like an unplanned discount if the reclaimed capacity is not filled with additional client work. 

The report also highlights a readiness gap that is especially relevant for these smaller practices. More than half of solo and small firms report having no AI policy (57% of solos and 55% of small firms). At the same time, many of the most common tools are generic consumer products rather than legal-specific systems, which can increase confidentiality risk and create workflow fragmentation when teams copy information between separate platforms. 

Finally, the survey analysis suggests that time is a barrier. For 27% of solos and 33% of small firms, finding time is the biggest hurdle to adopting new technology. Clio’s takeaway is that platform consolidation can reduce that burden by minimizing logins, reducing redundant data entry, and making it easier to adopt built-in AI in the same systems where intake, billing and matter work already live. 

Adoption Outpaces Readiness 

Mid-sized firms report widespread AI adoption. In the Legal Trends for Mid-Sized Law Firms: Market Insights in AI-Driven Growth (Clio), 86% of mid-sized firms reported they have adopted AI. Clio’s solo and small firm survey indicates similarly high adoption in smaller practices (71% of solos and 75% of small firms). The same survey suggests that the business impact is less consistent so far. About a third of solo and small firms report increased revenue, and most report no pricing changes tied to AI-driven efficiency. 

This combination of high adoption and uneven follow-through affects what it means to implement AI effectively. When many people have access to powerful tools, the differentiators tend to be governance, data management and workflows that support consistent use across the firm. For solo and small firms in particular, adoption can occur alongside open questions about pricing, tool integration and basic usage guidelines. 

Multiple data sets show a governance gap. In the 2026 Legal Industry Report: Trends, Benchmarks & Insights | 8am of more than 1,300 legal professionals, 43% said their firm has no formal AI policy and no plans to create one. Only 9% said their firm has a written policy that is actually enforced. Training looks even thinner. Fifty-four percent said their firm provided no training on responsible AI use and has no plans to do so. 

“Adoption is moving quickly at the individual level. Organizational structures, policies, and leadership readiness are still catching up.”

A practical way to assess readiness is whether AI use is ad hoc or incorporated into the places where work already happens, with clear guidance that supports consistent practice. The market is moving toward integrated, legal-specific tools and away from scattered, one-off prompts. That shift reflects the practical advantages of workflow alignment, including fewer handoffs, less rework, and clearer oversight. 

There is another reason this matters. When people are already using AI, a general caution to “be careful” is often not enough on its own. Firms typically benefit from shared decisions about which tools are approved for which kinds of work, what information can be entered into a system, what should be kept out and how human review is documented. Without that shared approach, responsible-use practices can vary across the firm, which can make oversight and consistency more difficult. 

Are Clients Pressuring Firms to Use AI? 

Questions about AI often include concerns about client expectations. For example, some lawyers anticipate that clients may ask firms to use AI or may expect discounts when AI is used. The surveys show limited client-driven pricing pressure at this time. In the 2026 Legal Industry Report, only 6% of respondents said clients are explicitly pushing for AI-linked cost reductions, and most said clients are not asking firms to demonstrate AI-driven efficiency measures. 

Those findings suggest firms have room to define their approach proactively. Firms can decide what value to protect, what risks to manage, and how to describe AI use if a client asks. It can also be helpful to think through pricing and billing implications early, including how to explain efficiency while maintaining transparency and trust. 

Tech Stacks and Vendor Contracts 

Lawyers report high satisfaction with their current tools. In a study of lawyers in the UK and Australia, 85% to 91% said they were satisfied with their current legal technology. At the same time, 50% of U.K. lawyers and 60% of Australian lawyers reported losing six hours or more per week to inefficient systems. That is the equivalent of more than 44 workdays per year for a single lawyer. 

This may seem counterintuitive, but legal work often adapts around friction. Teams develop workarounds, rely on a knowledgeable internal user and accept extra steps as a tradeoff for stability. AI can amplify existing strengths and constraints. If core systems are slow, fragmented, or difficult to integrate, AI may accelerate content creation while leaving routing, saving and retrieval dependent on manual steps. 

The other hidden cost is control. Nearly half of lawyers in that same study were not fully confident they own their client data and case documents. When firms tried to leave a provider, they reported delays, withholding of access and sizable extraction fees. The average extraction fee was £12,888 in the U.K. and A$24,861 in Australia. 

These findings are not limited to one jurisdiction. The findings highlight that data and documents support many AI capabilities firms may adopt. If a firm lacks clarity about ownership, export options and timing, it may face constraints later when changing systems or integrating new tools. That is a strategic consideration as much as a technical one. 

What Does Success Look Like? 

The report finds that many organizations across professional services use AI without a shared definition of success. In the 2026 AI in Professional Services Report, only 18% of respondents said their organizations collect ROI metrics around AI. A much larger share said their organizations do not measure ROI or do not know whether the organization measures it at all. 

That observation helps explain why AI can feel useful in daily work while producing less visible business impact. A firm may see time savings in drafting or summarizing, but not connect those gains to profitability, quality control, staffing or pricing. A tool may make one person faster, while raising risk if inputs and review practices are not tracked. If the goal is to improve both service delivery and business outcomes, it can help to identify a small set of measures tied to the firm’s objectives, including where time moved, where risk moved and whether clients experienced the change as improved service. 

Those numbers matter, even if a firm is not planning a migration tomorrow. When exit costs are high and ownership is unclear, firms may be less inclined to change systems or adopt new capabilities. Over time, that can contribute to added tools, duplicated work and fewer opportunities to integrate AI into core workflows. As the 2026 Legal Trends for Mid-Sized Law Firms warned, without a cloud-native foundation, firms can end up with “tool sprawl,” requiring teams to navigate disconnected systems to manage a single matter. 

Conclusion 

Over the next year, firms may see the most benefit when adoption is paired with practical implementation steps, such as written guidance, training, data cleanup and contract terms that address data access and integrations. Firms may also find value in being able to explain, in plain language, what AI changes in their workflows and what it does not. In many cases, AI functions less like a standalone feature and more like a capability that interacts with a firm’s underlying processes. 

Looking ahead, it may be useful for firms to identify what AI adoption is intended to represent, whether that is early experimentation, a reliable system the team can use consistently, measurable outcomes or the flexibility to change tools as needs evolve. 

Sources 

Catherine Sanders Reach serves as director of the NCBA Center for Practice Management.