US law firm AI intake confidentiality diagnostic example
A transparent synthetic proof-of-work showing how AICloudStrategist maps phone, web form, live chat, SMS, voicemail, paid-search and referral intake into missed-call, after-hours, conflict-screening and confidentiality prompt review queues before recommending AI automation.
Honesty label
This is a simulated internal proof-of-work asset. It uses synthetic law firm intake rows only. It is not a real customer case study, not production data, not confidential information, not a testimonial, not an attorney-client relationship and not evidence that any firm gained leads, signed clients, cases, revenue or rankings.
Why this asset exists
AICS has a buyer-ready US law firm AI intake confidentiality diagnostic package. This proof page shows the operating logic behind that offer: expose intake-source leakage, after-hours queues, missed-call callbacks, conflict-screening handoffs, CRM stage gaps and approved no-legal-advice / confidentiality-safe prompt boundaries before adding AI chat, voice or CRM follow-up.
Synthetic input summary
| Metric | Result from synthetic sample | Diagnostic meaning |
|---|---|---|
| Intake-source rows reviewed | 10 | Small synthetic sample for demonstrating method, not a real firm export. |
| Inquiries modelled | 154 | Demand pool requiring source, practice-area, owner and status visibility. |
| Missed calls | 33 | Calls requiring callback evidence before AI receptionist changes. |
| After-hours inquiries | 73 (47.4%) | Partner-visible queue for triage, disclaimers and next-business-day ownership. |
| Callback-within-2h coverage on missed calls | 24 / 33 (72.7%) | Measured service-level gap; not a signed-client or revenue claim. |
| Conflict-screened inquiries | 68 / 154 (44.2%) | Shows where AI or CRM follow-up must hand off before sensitive facts are collected. |
| Inquiries lacking confidentiality/no-legal-advice prompt boundary | 108 | Rows needing approved script boundaries before automation is expanded. |
| Late conflict-screening review pool | 119 | Partner review queue, not legal or ethics advice. |
Partner review queue from the synthetic run
| Priority | Source | Practice area | Evidence gap | Owner |
|---|---|---|---|---|
| 1 | Google Business Profile | Criminal defense | 7 missed calls; 12 after-hours; missing prompt boundary; 12 not conflict-screened | Intake manager |
| 2 | Website chatbot | Business litigation | 7 after-hours; missing prompt boundary; 11 not conflict-screened | Marketing |
| 3 | Phone | Family law | 9 missed calls; 8 after-hours; missing prompt boundary; 14 not conflict-screened | Reception lead |
| 4 | Voicemail | Probate | 11 missed calls; 9 after-hours; missing prompt boundary; 12 not conflict-screened | Reception lead |
| 5 | Paid search landing page | PI mass tort | 4 missed calls; 11 after-hours; missing prompt boundary; 12 not conflict-screened | Marketing |
| 6 | Live chat | Estate planning | 10 after-hours; missing prompt boundary; 12 not conflict-screened | Marketing |
Owner-dashboard proof pack
- Phone, voicemail, website form, live chat, SMS, paid search and referral intake counts by source and practice area.
- Missed-call and after-hours queues with callback timestamp, owner and next-action fields.
- Conflict-screening handoff status before sensitive facts or legal questions are collected.
- Approved no-legal-advice and confidentiality-safe prompt boundaries for AI chat, voice or CRM automation.
- CRM stage map showing new, contacted, unqualified and partner-review rows.
- Weekly partner dashboard with leakage, SLA, handoff and exception notes.
- Written approval before any real case study, testimonial, logo, lead-volume, client, case-win or revenue claim.
Reproducible artifact
The source model and generated markdown report are stored internally at /home/agent/.hermes/aicloudstrategist/case-studies/simulated-us-law-firm-ai-intake-confidentiality-2026-07-12/. Inputs are explicit in sample_intake_log.csv; calculations are deterministic and labelled as simulated.
Verification: python3 law_firm_intake_diagnostic.py regenerated the report with rows=10, total_inquiries=154, missed_calls=33, after_hours=73, callback_coverage=0.727, conflict_coverage=0.442, no_conf_prompt_inquiries=108, late_conflict_inquiries=119 and callback_gap=9. Input SHA256: 321e5a8580a9499a6f9b4ea278114472635eca2818909a7f9dfc3172804c3ba0.
Claim boundary
No real US law firm, client, prospect, production data, confidential information, attorney-client relationship, logo, testimonial, legal advice, ethics advice, bar-compliance advice, confidentiality advice, privilege advice, advertising advice, security audit, compliance certification, case result, signed client, lead-volume increase, revenue, ranking, platform partnership or AI accuracy guarantee is claimed. This means no legal advice, no ethics advice, no bar approval, no confidentiality guarantee, no security guarantee and no revenue guarantee. Real implementation would require explicit scope, data-handling approval, firm-approved policies, payment route and written authorization before any public proof use.