AI Business Strategy

Profitability in Law: How AI is Defining a New Profit Equation for Law Firms

By Poppy Bale Dyer, Chief Executive Officer, LEAP US

Profitability has always been a priority for law firms. But, in recent years, intensifying pricing pressures and volumes of administrative work have unbalanced the profit equation, especially for small and midsized law firms. With the latest generation of legal AI tools, firms are reevaluating where the margins really are in legal work. 

To better understand this global shift in profitability, we surveyed 700 legal professionals across the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand. The findings, published in the Profitability in Law Report, point to an industry adopting AI to help remove daily frictions from the work that pays. 

Potential to Improve: Looking at the US Example 

The US cohort of this research showed a strong belief in potential improvement, with ninety-five percent of US respondents saying their firm has moderate to high potential to improve profitability. When asked where legal technologies could have the greatest impact, top answers included automating repetitive workflows and tasks (38%) and eliminating manual data entry and re-entry (30%). 

In each of those answers, the focus is on minimizing time spent on low-value work. And when it comes to automating repetitive, high-volume tasks, Legal AI is playing a major part in driving the next generation of technology to answer those challenges. 

This is perhaps a slight shift away from maximizing the billable hour. Instead, legal professionals are interested in getting fee-earners to the next billable decision sooner, bringing greater value to both firm and client. 

Where Legal AI is already paying off 

AI is already a regular part of the working day for many US legal professionals. Sixty-four percent report using integrated or legal-specific AI on a regular basis. Among adopters of AI, seventy-seven percent report moderate-to-significant time savings from using the tools. 

Where is that time being saved? The kinds of administrative work you might expect. Respondents cite legal research and case law analysis (38%), document review and analysis (35%), and drafting and document generation (31%) as some of the most common activities where AI is being put to work. 

These are core legal activities where small efficiencies compound over every new matter. A savings of five-to-ten minutes on each task can translate into hours of additional time by the end of a week. Apply this to high volume tasks across a legal team and the room for strategic and high-value, billable work expands immensely. 

The cost of context switching 

A key theme that emerged in the report was the impact of fragmented systems. Seventy-nine percent of US respondents say they use three or more technology platforms per day; twenty-two percent say they use five or more. 

The immediate concern here is the time lost when moving between systems, or what is commonly referred to as context switching. Quoting one US respondent: “Our systems don’t talk to each other, so we spend too much time on manual data entry.” 

When the tech stack of a firm isn’t fully integrated, attorneys or support staff end up performing the role of the integration layer themselves. This means copying, pasting, reformatting, or reconciling data between tools. 

If AI tools are also separate, the frictions that they were employed to remove are subtly reintroduced at those seams between platforms. What is being learned about the implementation of legal technology is that AI tools seem to deliver the most value when they sit inside the same systems where the legal work lives. 

How to Implement Legal AI Effectively 

Looking beyond this research, many firms using legal AI as a profitability lever have started with use cases tied to billable bottlenecks. Some activities respondents in the survey highlighted (legal research, document review, drafting) are ones that often absorb large amounts of fee-earner time. Beginning where the data is strongest produces results that are easier to measure and easier to defend internally. 

Onboarding also deserves the same weight as the procurement decision. When not properly supported, AI rollouts can stall at adoption. Pair the rollout with focused training and named champions in each practice group. Try to protect time for fee-earners to experiment with AI so they can bring new efficiencies to future matters. 

Anticipating the next round of gains 

The headline numbers are encouraging, but the gaps inside them are the real opportunity. Roughly one-third (36%) of US respondents say they are not regularly using integrated or legal-specific AI. These are the legal workers who have yet to settle on where AI can drive value in their area of law and should keep a keen eye on the next round of developments in legal AI technology. 

Though, as it stands, there are gains on the table for almost every firm. Within the US sample of our research, fifty-eight percent say that they spend two to five hours a day on non-billable tasks. There is a demand for administrative relief within the legal sector that AI is well placed to meet, provided it lands inside connected systems and with workflows built around its capabilities. 

With thoughtful implementation of Legal AI, the new profit equation will reward the law firms that put the least friction between their legal talent and the next billable decision. 

In collaboration with Agile Market Intelligence, LEAP surveyed 700 legal professionals across the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand from November 10–28, 2025. The full Global Report 2026: Profitability in Law is available at leaplegalsoftware.com. 

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