In every engagement we run, the request sounds the same: “Can we get an AI copilot for intake / claims / medical reviews without creating new risk?” The answer is yes—but only if we keep the pilot scoped to a single workflow, wire it into the team’s existing systems, and ship evaluation hooks on day one.
What Makes a Pilot Succeed
Below is the quick checklist we now run through with every legal, health, or life-sciences client before we deploy an agent. Skip any step and the pilot stalls inside approvals.
Before showing anyone a prompt, capture the current SLA, failure modes, and evidence that leadership already tracks.
Legal ops teams sign off faster when they can see exactly which steps still require counsel sign-off or reviewer initials.
For PI intake, we grade tone, medical fact capture, and lien-readiness; for health claims, we grade CPT/ICD accuracy and payer-specific policy hits.
If an agent updates a Notion page but the paralegals live in Filevine, you have not automated anything.
Example: PI Intake That Writes Its Own Case Memos
For one personal-injury network we built an agent that pulls medical records, tags bulletproof liens, and drafts negotiation-ready memos. The trick wasn’t GPT-4—it was the glue: HIPAA-safe storage, automatic tagging against their lien matrix, and evaluation scripts that grade voice/tone before anything reaches opposing counsel.
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If you're exploring agent pilots in regulated teams, we run rapid audits and co-build programs that reach production in weeks, not quarters.
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