This report sets out the findings of the 20Minds Digital roundtable on AI in legal practice (May 2026). The follow-up to the discussion produced 98 statements: 58 observations of current practice (mean positivity 5.8 out of 10) and 40 prognoses of where legal AI is heading (mean positivity 6.1).
Confidentiality, professional secrecy and governance emerged as the dominant constraint on enterprise adoption and the main differentiator between fast and slow movers. There was broad consensus that AI already delivers measurable value in structured, high-volume and repetitive work, and equally clear agreement on its limits in context, judgement and sophisticated reasoning. Human-in-the-loop augmentation, rather than full automation, remains the prevailing model.
Participants emphasised that success depends less on acquiring tools than on transforming workflows, governance and operating models, with a shift towards internally orchestrated AI ecosystems. They observed a widening gap between AI-native organisations and more conservative adopters, and a long-term concern that replacing apprenticeship work may weaken the development of junior lawyers.
Twenty-seven participants completed a pre-session survey. Confidence was highest in lawyer-AI collaboration (7.8 out of 10) and lowest in meeting confidentiality requirements (5.9). Greater flexibility for internal workflows ranked as the leading reason to build in-house AI tools, and scarcity of internal talent as the leading reason not to.
The interactive report below sets out all statements, themes and survey results.