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Matter Intake Evaluation

Reduce time from inquiry to engagement letter. Catch conflicts before they become malpractice risk. Every decision, fully auditable.

The Problem
Intake is where the money gets made or lost

Every new client engagement starts here. Conflicts, staffing, risk appetite, billing arrangements — all decided in the first hours. Getting it wrong means malpractice exposure, profitability loss, or missed business. Getting it right, consistently, is structural competitive advantage. At a merged firm with 52 offices and 3,500 professionals, intake is not one process. It's hundreds of processes, spread across practice groups that used to be two different firms. Standardizing intake evaluation is the highest-leverage operational move the firm can make.

How It Works
Two stages. Five dimensions. Zero black boxes.

Paste a matter summary. The system classifies practice area, urgency, and conflict triggers. Then it scores across five weighted dimensions and returns a risk level, staffing recommendation, and full reasoning chain. Every prompt, every response, every rubric version is captured. Not "the AI says take this matter" — "here's exactly why, with the raw data to prove it."

What you get

  • Practice area classification with confidence scoring
  • Conflict check triggers — adverse parties, business conflicts, prior representations
  • Urgency and risk assessment across regulatory, financial, and reputational dimensions
  • Staffing recommendation with role, hours estimate, and specialty requirements
  • Data integrity check — what's missing from the intake, surfaced explicitly
  • Overall risk badge: low / medium / high

Why it matters

  • Partners spend less time routing and more time lawyering
  • Conflicts are flagged before the engagement letter goes out, not after
  • Staffing recommendations are consistent across practice groups, not dependent on who's doing intake that day
  • Every decision has an immutable audit trail — when the client asks, you can show your work
  • The system gets smarter with every evaluation as the standards library grows
25%
Practice Area Classification
Is the matter correctly classified? Cross-practice elements flagged.
25%
Urgency & Risk
Deadlines, regulatory exposure, financial stakes, reputational risk.
20%
Conflict Check
Adverse parties, business conflicts, prior representations.
15%
Staffing Quality
Role recommendation, hours estimate, specialty requirements.
15%
Data Integrity
What's missing? How clear is the summary? Issues surfaced.
The Differentiator
Auditability is the operating premise.

Every AmLaw firm evaluating AI asks the same question: "Can we trust it?" The answer isn't a policy document. It's an architecture. Every evaluation captures the full prompt, the full response, the model version, the rubric version, and the scoring formula. If a partner questions a classification six months later, the full decision context is retrievable. Nothing is a black box. The audit trail is the product.

<10s
Evaluation time
100%
Decisions auditable
5
Weighted dimensions
The Platform
Start with intake. Extend everywhere.

The same two-stage pipeline and audit trail architecture extends to conflict waivers, engagement letters, staffing optimization, and matter budgeting. Matter intake is the wedge — the highest-leverage entry point because every partner understands the pain. But the pattern is the platform. Each new function adds capability without adding coupling.

Where this fits in the Legal AI OS: Matter Intake is a Layer 2 function — a standalone application that exposes three governance endpoints. It doesn't share a database with anything. It doesn't depend on any other function. The governance layer polls it for health, metrics, and evaluation targets. It's the first function every new matter touches, which makes it the natural starting point for firm-wide AI adoption.