Each composite case study below draws on common adoption patterns we see across firms of similar size and practice mix. They are written as illustrative scenarios — not real firms — so that readers can map the patterns onto their own situation without having to compare against vendor-curated success stories.
Large Firm
Corporate Law
How large corporate legal teams approach contract lifecycle rollouts when the matter volume justifies a dedicated CLM platform rather than the contract module bundled in a practice management suite.
Scoping the first three use cases
Integration with the document management system
Year-one adoption signals
Boutique Firm
Litigation
How small specialist firms select a focused AI stack rather than a broad-platform deployment, and how the trade-offs differ from larger-firm rollouts.
Why best-of-breed beats all-in-one at this size
Realistic adoption timeline
Where the savings actually land
In-House Team
Legal Department
How in-house legal teams differ from law firms in their AI adoption — workflow priorities, vendor management, and the relationship with outside counsel.
What in-house teams actually want from AI
Outside-counsel-guideline implications
Spend management and metrics
Mid-size Firm
Mixed Practice
The most common adoption pattern in the directory: a midsize firm picks one or two high-volume workflows, runs a structured pilot, and rolls out from there.
Pilot scoping done well
Cost categories that get missed
When to expand versus consolidate