ModelRefs / Matter Intake — Architecture Blueprint
Matter Intake — Architecture Blueprint
Production architecture blueprint for Matter Intake: components, deployment patterns, cost & latency, failure modes, evaluation and governance, with sources and review dates.
Overview
This is the implementation view of Matter Intake: the components it requires, where it can run, what it costs in latency and spend, how it fails, and what you must measure before putting it in front of users.
5 components to assemble, 6 documented failure modes, high implementation complexity. Every statement below comes from the canonical workflow record with its sources and review date; where the evidence does not settle a question, the page says so rather than filling the gap.
What this workflow takes in and produces
Takes in
- prospective-client submissions
- contact and adverse-party names
- matter facts
- authorized conflict-search fields
- consent and communication metadata
Produces
- restricted intake records
- missing and sensitive-data flags
- conflict-check requests
- authorized staff routing queues
Applied to
- prospective-client fact capture
- matter classification and routing
- conflict-check handoff preparation
Components you need to assemble
A working implementation needs 5 distinct components. Each is a build-or-buy decision in its own right.
- secure intake channel
- identity and entity normalization
- restricted conflict-check handoff
- consent and access controls
- authorized legal-staff review
Implementation complexity: high. This describes the integration and evaluation effort, not the difficulty of any single component.
Deployment patterns
Deployment options recorded for this workflow: managed-api, hybrid.
Topologies it has been recorded against: serverless-api, managed-container, hybrid-private-cloud. Each changes the data-residency, scaling and cost profile, so confirm the one you need against current provider documentation.
Cost and latency
- Identity resolution, duplicate detection, conflict review, follow-up, jurisdiction routing, and staff adjudication dominate cost.
- Measure complete, correctly routed, safely handled intakes rather than automated completion rate.
How this workflow fails
Observed failure modes for this class of workflow. Design a check for each one before shipping, not after.
- wrong party identity
- missed adverse party
- sensitive information overcollection
- conflict-check bypass
- wrong routing
- implied engagement or advice
Risk areas the evidence covers
- identity and entity capture
- missing-data detection
- confidentiality
- conflict-check handoff
- routing
- human acceptance
Proving it works before you ship
Evaluation readiness: Partial — Field capture, entity normalization, missing-data, sensitive-data, routing, conflict-handoff, and reviewer measures are defined; firm- and jurisdiction-specific protocols remain required.
Worked evaluation case: Restricted prospective-client intake and conflict handoff
Capture minimum necessary prospective-client and matter facts, normalize party identities, and route a restricted conflict-check request without implying engagement or advice.
What to measure
- required-field completeness
- party and entity normalization accuracy
- missing and sensitive-data flagging
- conflict-handoff and routing correctness
- staff correction, escalation, and review time
Governance and data handling
- Limit collection to approved fields, warn users not to submit unnecessary secrets, and restrict access, retention, export, and audit by purpose.
- Authorized legal staff retain conflict clearance, scope, engagement, decline, referral, confidentiality, and legal-advice decisions.
Implementation notes
- Separate intake receipt from conflict clearance, engagement, legal advice, and matter opening, and communicate that boundary visibly.
- Preserve submission, consent, identity normalization, duplicate, conflict-handoff, routing, reviewer, decision, notification, and deletion history.
What this blueprint does not establish
- Prospective-client duties, conflicts, confidentiality, engagement formation, and retention rules vary by jurisdiction and firm policy.
- This workflow does not clear conflicts, create an attorney-client relationship, accept a matter, provide legal advice, or protect every submitted fact as privileged.
Source coverage: Partial — ABA Model Rule 1.18 identifies duties involving prospective-client information; Formal Opinion 512 identifies AI-related competence and confidentiality obligations. Actual duties and intake design remain jurisdiction- and firm-specific.
Sources reviewed 2026-07-02. Revalidate professional rules, notices, intake fields, conflict systems, jurisdiction, retention, and staff policy before deployment.
Sources
- ABA Model Rule 1.18: Duties to Prospective Client American Bar Association · official · accessed 2026-07-02
- ABA Formal Opinion 512: Generative Artificial Intelligence Tools American Bar Association Standing Committee on Ethics and Professional Responsibility · official · accessed 2026-07-02
Candidate models and benchmarks
Candidate models with published references, the providers behind them, and the benchmarks whose task shape bears on this workflow are on the Matter Intake workflow reference. This blueprint covers implementation; that page covers selection.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Matter Intake — Architecture Blueprint.