Axiom Insights From Pilot to Production: How Axiom’s Clients Cracked the Legal AI Adoption Code
Sep 25, 2025
Chris Frickland, Axiom's Director of AI, Peter Duffy, a legal tech consultant, and Alex Fortescue-Webb, a SaaS founder, dive into the effective strategies for piloting generative AI in legal settings. They reveal that focusing on specific use cases leads to stronger adoption and quicker wins. The trio discusses the pitfalls of short trial periods and the importance of structured training programs for lawyers. They also share insights on leveraging historical data responsibly and the significant efficiency gains from their innovative pilot programs.
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Choose Use Cases By Three Lenses
- Focus pilot selection through user desirability, commercial viability, and technical feasibility lenses.
- Prioritize high-volume, high-value tasks like pre-execution commercial contract review first.
Embed Tools In Native Workflows
- Keep AI inside lawyers' native workflow, e.g., a Microsoft Word add-in for redlining.
- Require rapid playbook creation and a slick UX to drive adoption.
Prefer 8–12 Week Structured Pilots
- Run structured pilots for about two to three months to collect behavior data and test vendor support.
- Use midpoint and endpoint interviews plus analytics to decide whether to scale.