Adoption & maturity
Legal AI Maturity Model
The five stages of legal AI maturity and where firms sit across them.
As a directional scenario, the maturity curve is still left-loaded: an estimated 65% of firms sit in the No AI, Experimenting, or Piloting stages, while only 13% reach full transformation with enterprise-wide adoption and dedicated AI teams. The largest single group, at 28%, is Stage 2 (Experimenting) - ad-hoc individual use of general-purpose tools like ChatGPT rather than governed, legal-specific systems. For most firms, the gap is less about access to AI and more about the governance and workflow redesign needed to move from occasional use to Stage 4-5 scaling.
The data
| Stage | Share of firms | What it means |
|---|---|---|
| Stage 1: No AI | 12% | No AI tools in use. Fully manual workflows. |
| Stage 2: Experimenting | 28% | Ad-hoc usage of general AI (ChatGPT, etc.) by individuals. |
| Stage 3: Piloting | 25% | 1–2 functions use legal-specific AI tools formally. |
| Stage 4: Scaling | 22% | AI integrated across multiple practice areas with governance. |
| Stage 5: Transformed | 13% | Enterprise-wide AI with dedicated teams, KPIs, and workflow redesign. |
Illustrative estimate - a directional figure for scenario framing, not a measured benchmark. Do not read these as measured per-vendor results.