# Plaintiff PI Firm AI Case-Intake Snapshot — Executive Summary

**== SAMPLE / GENERIC EXAMPLE — SYNTHETIC DATA ==**

**Snapshot:** CAI-PF-GEN-DEMO-[hash]
**Snapshot date:** 2026-07-21
**Format:** contrarianAI Independent-Verifier $499 Snapshot
**Attesting party:** Kevin Luddy, Principal, contrarianAI LLC

**Sample firm profile:** Mid-market plaintiff PI firm (~$500M-$2B recovered / 5,000-20,000 active matters annually)
**AI system audited:** case-intake triage classifier (mock model version case-intake-triage-v2.4.7)
**Audit period:** 90 days
**Intakes analyzed:** 5,004

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## Overall Determination

**CATEGORY C — INSUFFICIENT FOR ATTESTATION**

Multiple high-severity distributional-drift events detected in the case-intake triage AI across the audit period. Firm should not represent the case-intake triage system as FRCP 37(e)-defensible until named remediation completes.

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## The One Sentence Your Firm's Own Defense Counsel Will Care About

**The AI case-intake triage engine's SIU/fraud-review lane rate for Cohort C3 (age 40-55, mid-income) rose from 18% to 71% over the audit period — a 53 percentage-point cohort-differential that occurred silently while the firm's case-management dashboard showed all-green throughout.**

The shift is invisible in aggregate metrics (intake throughput, mean triage score, model confidence). It is visible only through per-cohort distributional-shape analysis performed by an independent verifier using a distinct model family and retention pipeline.

Under FRCP 37(e), any AI-driven case-intake decision from the affected period is subject to preservation duty once litigation is reasonably anticipated. The malpractice-carrier questionnaire item — "does your firm audit AI-driven case-triage decisions for adverse-impact patterns?" — now has a materially harder-to-answer shape.

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## By The Numbers

**Detection:**
- 16 total drift events detected across the 90-day audit period
- 7 high-severity
- 9 medium-severity
- First drift day: Day 30 (post-baseline window)
- Cohort C3 (age 40-55, mid-income) primary signal source

**Case volume at potential misroute:**
- ~1,200 Cohort C3 intakes over the 45-day drift-window
- ~630 of those (52%) routed to SIU/fraud-review lane vs baseline ~18% expected
- Delta: ~430 potentially-misrouted intakes → wrongful-holding-in-SIU-queue exposure per intake

**Regulatory + litigation exposure ranges (public benchmarks):**
- **FRCP 37(e) spoliation sanction:** case-specific ($10K-$500K+ per motion; potential adverse-inference instruction which can cost cases entirely)
- **Malpractice-carrier questionnaire failure at renewal:** premium increase 25-100%+ OR coverage refusal (industry norm; firm-specific to policy)
- **State bar AI-competence review:** censure to disbarment continuum; NC state bar rule active
- **Rule 23 class action for adverse-impact:** $2M-$25M settlement range (public benchmark: adverse-impact class-cert precedent, plaintiff-firm class-actions on employment-AI)
- **Litigation defense cost floor:** $500K+ regardless of outcome

**Cost-benefit ratio:**
- Baseline Audit engagement ($2,500) = 0.5% of low-end malpractice-carrier premium impact
- Enterprise Attestation ($35-55K) = ~2% of low-end Rule 23 class settlement range
- Snapshot ($499) = below procurement threshold, tests the discipline before organizational commitment

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## What Went Wrong (Executive Summary)

The case-intake AI was trained on client data through 2026-03-15. Deployed Day 1 of audit period. Over the 90-day production run, two input distributions shifted silently and simultaneously:

- **Client-mix shift:** marketing outreach amplified Cohort C3 (age 40-55, mid-income) representation. Cohort share grew 30% post-Day 45.
- **Case-type + value shift:** post-shift C3 clients skewed toward medical_malpractice + product_liability + higher estimated case values + older cases (longer days-since-incident).

The AI was NOT retrained. Its baked-in C3-favorable offset (+8 triage-score points, from historical training) compounded with the shifted-input mix. Result: C3 clients were systematically routed to SIU/fraud-review lane at 71% frequency vs the 18% baseline, without a single alarm firing on the firm's case-management stack.

**Standard tools stayed green.** The differential became visible only when a distributional-shape sensor was applied to the 90-day triage-decision history at the cohort level.

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## The Independent-Verifier Principle (Why This Matters)

> "The control plane cannot reside within the entity it is meant to regulate."

The firm's case-intake AI vendor (Eve / Supio / Darrow / Harvey / Casetext or any similar), the firm's case-management platform (Filevine / MyCase / Clio / PracticePanther), and the firm's own IT team cannot attest their own outputs. Different model family for verification. Different retention. Different judgment.

This Snapshot is produced by contrarianAI as an independent third party. Sensor operates on the case-intake AI's output stream only, distinct from the production model family, with a different mathematical basis (distributional-shape statistics vs gradient-boosted classifier) and a different retention pipeline.

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## Regulatory Framework Applied

- Federal Rule of Civil Procedure 37(e) — spoliation duty on AI-driven decisions
- State bar AI-competence rulings (35+ states as of March 2026; California COPRAC enforceable rule)
- Malpractice-carrier questionnaire items (Aon / Marsh / Beazley / CNA legal-liability desk trend)
- Adverse-impact statistical methodology (Rule 23 class-adjacent exposure)
- FCC TCPA (if any AI-generated communications component — Michigan mass-tort firm hit w/ TCPA class action 2026 sets precedent)
- NC state bar AI guidance (2026-01-13) — applies if firm operates in NC

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## What Kevin Ships At Each Tier

| Tier | Price | Timeline | Scope |
|------|-------|----------|-------|
| **Snapshot (THIS ARTIFACT SHAPE)** | **$499** | **3 days** | **1-page determination on any single AI system + 3 fix-first items** |
| Baseline Audit | $2,500 | 5 days | Gap map + measurable test + 30/60/90 roadmap on ONE AI surface |
| Full Diagnostic | $15,000 | 2-3 wks | Portfolio review across 3-5 AI systems + team session |
| **Enterprise Attestation** | **$35-55K** | **3-6 wks** | **Full 8-layer coverage + board-ready + regulator-facing signed statement** |

**Snapshot credit ($499) applies to Baseline or Enterprise upgrade within 30 days.**

Big-4 legal-consultancy equivalent for the Enterprise tier: $200K-$1M+. Same deliverable outcome; different price + delivery model.

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## Immediate Next Steps (30-day)

1. **Freeze or hold-for-review** all post-drift AI-generated triage decisions in Cohort C3 until adverse-impact-differential validation completes
2. **Issue litigation-hold documentation** covering the AI-driven case-intake decision-record for the audit period (FRCP 37(e) preservation duty)
3. **Notify Managing Partner + GC + malpractice-carrier compliance point-of-contact** of the identified drift + remediation-in-progress
4. **Preserve all decision-record artifacts** + tool-call traces + model-version metadata for potential regulator / plaintiff / defense-counsel request
5. **Retrain case-intake AI** on updated data reflecting current client-mix distribution
6. **Add adaptive drift-monitoring** to production case-intake pipeline (real-time, not just annual attestation)

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## Contact

**Kevin Luddy** — Principal, contrarianAI LLC
Wilmington NC (Castle Hayne)
Cal: https://cal.com/kevin-luddy-0dlzuu
Landing: https://contrarianai-landing.onrender.com
Legal-vertical Snapshot: https://contrarianai-landing.onrender.com/legal-snapshot.html

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**Snapshot retention key: [hash]**
**Signed:** Kevin Luddy, Principal, contrarianAI LLC
**Date:** 2026-07-21

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*This one-pager summarizes the full Snapshot deliverable (see `pf_snapshot_report.md`). Full Snapshot includes 8-layer determination, counterparty-question rehearsal (sample decisions from Day 47 with cryptographic hash + reproducibility verification), 3 fix-first items scoped to your surface, and signed independent-verifier declaration. Snapshot credit applies to Baseline or Enterprise upgrade within 30 days.*

**== END OF SAMPLE — YOUR ACTUAL $499 SNAPSHOT WILL LOOK STRUCTURALLY IDENTICAL BUT WITH YOUR FIRM'S DATA + AI SYSTEM + JURISDICTIONAL FOOTPRINT + REGULATORY-FRAMEWORK-CITATIONS ==**