Ironclad: 96% Would Use AI More With Clear Accountability Policy — Only 49% Have One

Ironclad's 2026 State of AI in Legal report, analyzed in a July 8 article on building AI accountability policies, found that 96% of legal professionals say they would use AI more extensively if accountability for errors were more clearly defined — yet only 49% report having a clear accountability policy in place. The accountability gap is not abstract: 49% of respondents act directly on AI outputs for routine tasks without review, and 74% do so for both routine tasks and selected complex ones. When asked who is responsible when AI fails, answers scatter across six categories — 37% say the legal team as a whole, 23% say the individual, 20% say responsibility is shared with no single owner, 15% say IT — with no consensus. The practical governance finding for mid-sized firm COOs is that this diffusion of accountability is not primarily a legal or technology problem; it is a process design problem. Firms that install a tiered review framework — mapping each AI use case to a trust tier (act directly, one-person review, or senior sign-off) with named owners and documented contingencies — are already measurably ahead: organizations with a defined AI error policy rate their legal team's AI adoption ahead of other business functions at 87%, versus 51% at firms without one.