Corporate legal departments are transforming how legal work is performed and compensated. A recent survey of 300 in-house legal professionals shows generative AI has become a standard resource, with 86% now using it for legal tasks. Among those users, 37% depend on it heavily across their operations, a development already shifting power relations between clients and law firms.
The research, conducted by Everlaw and Wakefield Research, demonstrates AI’s role extends beyond efficiency to cost reduction. Fifty-four percent of respondents say AI has already reduced the volume of work sent to outside counsel, while 44% anticipate further reductions within the next year. The effect is most pronounced among teams using AI extensively: 73% now send less work externally, and 40% plan to bring more tasks in-house over the next 12 months.
Law firms face growing pressure as a result. Of respondents working with law firms that use GenAI, 92% report already seeing AI-related savings from them, including 13% who describe the savings as significant and 56% as moderate. A year ago, Everlaw’s 2025 research found that 59% of in-house respondents had seen no savings from outside counsel’s AI use.
The findings were based on responses from 300 U.S. in-house legal professionals, collected between June 26 and July 30, 2026. The study, commissioned by Everlaw and conducted by Wakefield Research, aimed to assess AI’s impact on corporate legal operations, workflows, and external counsel relationships.
In-house teams demand AI transparency and results
Survey results are subject to standard sampling variation. With 300 interviews, there is a 95% confidence level that the reported percentages would not differ by more than 5.7 percentage points if all relevant professionals had been surveyed. This margin accounts for both the number of participants and the percentage values expressed in the data.
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In-house legal teams are no longer passive purchasers. In-house teams are setting clearer expectations for how AI is used and measured. Among those who engage law firms, 62% expect clear disclosure of AI use, 61% expect measurable gains in efficiency or outcomes, and 60% expect lower fees or fewer billed hours when using AI. This trend is accelerating: only 4% of respondents say their outside firms do not use generative AI at all, compared with 59% who were unaware of their firms’ AI adoption a year ago.
The most significant change may involve pricing structures. Eighty-one percent of respondents expect outcome-based pricing to eclipse the billable hour within five years, including 47% who expect it within three years and 17% who expect it within 12 months. Fifty-seven percent expect flat or fixed fees to be the most widely adopted alternative fee arrangement from AI-enhanced work.
AI is not only altering who pays for legal services but also what services are compensated. 56% say clients should primarily pay outside counsel for business and commercial insight, and 54% each for managing complex matters and specialized legal expertise. Fewer than 30% pick document review (28%) or routine legal work (27%). The most common tasks being handled in-house include early case assessment (58%) and reviewing outside counsel performance and billing (54%).
AI’s accuracy gains come with new risks
Despite these efficiency gains, risks persist. Eighty percent of respondents are more concerned about AI-generated errors than job displacement. Sixty-three percent worry that over-reliance on AI could weaken legal skills, and 68% say they are reassessing upskilling, training and headcount needs. These concerns are not theoretical: one-third of teams have already encountered AI-hallucinated evidence or case law in litigation, with 17% attributing such errors to opposing counsel and 12% to their own teams.
The survey highlights a core challenge: AI improves accuracy and consistency in legal work (70%) and speeds up task completion (64%), but it forces legal teams to rethink training and expertise.
