AI Reliability Checklist for Law Firms — Printable Visual Guide

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Before adoption

Know what becomes load-bearing.

1. Data location
Document where prompts, testimony, files, and outputs go.
2. Model portability
Confirm the workflow can survive a model or vendor change.
3. Method portability
Keep prompts and procedures usable outside one product.
4. Record citations
Require page-and-line support or a clear not-in-the-record result.

In production

Keep accountability and continuity visible.

5. Human review
A qualified professional reviews consequential output before release.
6. Tested fallback
A second workable path has been exercised, not merely named.
7. Manual path
The critical task can still be completed without the AI system.
8. Written continuity plan
Owners, steps, and escalation paths are documented.

The standard: A backup, a documented process, and accountable human review stay attached to every critical AI workflow.