Individual behavior has outrun institutional policy
The 2026 Legal Industry Report from 8am, covered by LawSites, reports that generative AI adoption among legal professionals has more than doubled in a year, with nearly seven in ten now using GenAI tools for work.
That is a management story. Individual lawyers are already finding ways to use AI for drafting, summarizing, research, intake, administrative work and client communication. Many firms, however, still lack the policy, training and review structures needed to turn individual experimentation into reliable operating practice.
The risk is uneven work quality
A firm without a shared AI policy does not have “no AI.” It has unmanaged AI. One lawyer may use a vetted research workflow with citations and verification. Another may paste client facts into a general-purpose system. A third may avoid AI entirely and bill slower work against a client who assumes the firm is modernizing.
That unevenness creates three problems at once: confidentiality risk, quality-control risk and pricing risk. Clients will increasingly ask not only whether a firm uses AI, but whether it uses AI consistently and responsibly across matters.
What management should implement first
The first policy does not need to be a 60-page manual. It should define approved tools, prohibited data, verification expectations, disclosure rules, supervision requirements and where lawyers go when a workflow is ambiguous.
Training should be matter-based, not abstract. Show litigators how to verify citations, transactional lawyers how to redline AI-assisted clauses, and partners how to review an AI-assisted work product before it leaves the firm.
Bottom line
Legal AI adoption is no longer an innovation-team experiment. It is a firm-management discipline, and the firms that build policy after the fact will spend 2026 cleaning up avoidable inconsistency.