The Legal Leader's Guide to Scaling AI: Governance, Sequencing, and the Business Case
Governance is not a brake on legal AI. It is what makes scaling it possible.
Across corporate legal, AI has already moved past experimentation. General counsels' use of generative AI rose from 44% to 87%1 of departments in a single year, yet only about half of these departments have a formal plan in place. Adoption has outrun intention, and that gap is the subject of this guide.
Written for the chief legal officer or general counsel working to close that gap, and for the legal operations leaders who turn those decisions into practice, the guide draws only on published research, publicly disclosed production deployments, and the observed practices of legal teams already operating at scale.
What’s Inside:
Where AI actually works today
The full use-case landscape, organised by the five business outcomes AI is already driving in legal, with every use case classified as proven, emerging, or frontier.
The governance framework
The three layers that separate the teams with a real framework from the rest of the market: a single accountable steering group, a deliberately chosen operating model, and data rules set before the rollout rather than after it.
A roadmap sequenced by readiness, not ambition
Every use case placed by value and ease of deployment, from quick wins to long games, inside an honest 18 to 36 month arc that starts where readiness is highest.
A business case a CFO can interrogate
A worked ROI model for a single NDA workflow, built on three vectors: capacity released, external counsel cost reduced, and risk and compliance protected. Every assumption open to challenge, and every input swappable for a real one.
1FTI Consulting and Relativity. “AI Adoption in Corporate Legal Departments Doubles According to The General Counsel Report. FTI Consulting, 11 Mar. 2026,