How Law Firms Are Actually Using AI This Year
- Last edited
- 2026-03-30
- Next edition
- Twice-yearly
- Length
- 5,200 words · 18 pages
- Reading time
- 26 min @ 200 wpm
Legal practice managers and partners scoping where to start.
How Law Firms Are Actually Using AI This Year
What's inside, in one page.
What small and mid-size law firms actually do with AI in 2026, based on a structured survey of 287 firms across the UK and EU between January and March 2026, plus follow-up interviews with 38 firms about specific tooling decisions. The report covers adoption rates by function (intake, research, drafting, billing review, document review), the tools firms actually use rather than the ones vendors talk about, the difference in adoption between firms that hired a billable-hour-allergic associate in the last two years and those that didn't, and the categories of work where adoption has stalled. We name vendors. We name the categories that look like hype. We show where AI has reduced fee write-offs and where it has created new ones.
One firm we interviewed had built a research tool internally on top of CoCounsel. They abandoned it after eight months. Not because the tool was bad, but because nobody could explain to a partner why the research bill on a specific matter was twenty percent lower than the same matter the previous year. The bill that went out was the old one. The savings stayed inside the firm. The firm went back to manual research because the tool worked too well for the partnership compensation model to absorb.
What you'll read.
- 01Executive summary
- 02Where law firms are today
- 03What's working
- 04Where firms are wasting money
- 05Realistic ROI by use case
- 06What early adopters do differently
- 07Outlook for the next two quarters
- 08Methodology
How this was researched.
Every claim in this report traces back to a primary source: vendor documentation, first-hand testing, or direct interview. Pricing is verified with each vendor. Where a vendor declined to provide pricing, the report says so. The methodology appendix names every source and notes the limits of what we can confirm.
Reports are AI-drafted and human-edited. Every report passes an originality check before publishing. If it fails, it doesn't ship.
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€60Build a vertical cluster, €12 each. Good for a small firm scoping a function fully.
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