Claude Design Conflict Check Dashboard Mockup

Claude Design for conflict-check dashboards is the second-most-obvious legal-ops build after NDA triage. Most law firms still run conflicts against an intranet form built in 2014, searchable but slow, no audit trail, no party graph, no flag history. Anthropic shipped Claude Design on April 17, 2026, and the bottleneck for replacing that intranet form was never design talent or budget. It was the dependency chain on engineering. This walks through mocking up a working conflict-check dashboard with Claude Design, what fields belong in it, and how to wire the tool to your existing party-tracking systems without forcing a vendor migration. The build assumes you're on Claude Pro ($20/month) or Team Standard ($25/seat/month) per the Anthropic pricing page — the design tool is bundled at every paid tier.

What a modern conflict-check dashboard actually needs

Most firms have inherited a conflicts process that runs on three artifacts: an intake form, a party list in some database, and a partner-circulation email. The pain points are predictable. Search is keyword-only, so "Acme Industries" and "Acme, Inc." don't connect. There's no visibility into prior engagements unless you go ask the partner. The audit trail is whoever happens to remember. And the form's UX is from a different era of internal tools.

A modern conflicts dashboard needs five things:

- Party search, fuzzy match across all known names + aliases + parent/subsidiary structures. - Prior-engagement view, for any matched party, all prior matters, dates, partners involved, outcome. - Real-time clearance flag, green (no prior involvement), yellow (related party or distant prior matter, requires partner sign-off), red (active conflict, escalate). - Audit-trail export, every search, every partner sign-off, every override, timestamped and exportable for malpractice insurance and ABA Model Rule 1.7 compliance. - Comment/escalation thread, when there's ambiguity, the conversation lives on the matter record, not in Outlook.

That spec is bounded enough to mock in Claude Design within an afternoon. The harder part is wiring it to your firm's existing party data, typically iManage, NetDocuments, or a legacy practice-management system, which Claude Code handles in the build-out phase. The NDA triage internal tool guide walks through the same handoff pattern.

The Claude Design build sequence for the dashboard

First prompt: *"Build a conflict-check dashboard for a law firm. Top section: a fuzzy-search bar with autocomplete on party names. When I select a party, show three tabs: Overview, Prior Engagements, Audit Log. Use [your firm's brand tokens, attach the brand PDF or a screenshot of your existing site]."*

Claude Design generates a base layout in HTML/CSS/React. Iterate on visual fidelity until the dashboard looks like your firm, usually three or four passes, ten to fifteen minutes total.

Second prompt: *"On the Overview tab, show party name, aliases, parent company, related entities (graph view), current clearance status as a colored pill (green/yellow/red), and a 'Run Conflicts Check' button."*

Third prompt: *"On the Prior Engagements tab, show a table of prior matters: matter name, date opened, date closed, lead partner, current status, outcome. Sort by date desc. Click a row to open matter details in a side panel."*

Fourth prompt: *"On the Audit Log tab, show every search, sign-off, and override. Filterable by date range, user, and action type. Export-to-CSV button in the top right."*

When the prototype is right, hand off to Claude Code: *"Build this as a deployed app. Use [your firm's preferred stack]. Auth via [your firm's SSO]. Connect to our existing party database at [database connection details, your IT team provides]. Pull party records via [API or SQL connection]. Implement fuzzy-match using a standard library."*

Claude Code generates the deployed app with auth, database integration, and CSV export. For most firms this build-out takes one to three days end-to-end, depending on how cleanly your existing party data is structured. The Claude Design system integration for law firm brand covers the brand-token setup that compounds across builds like this.

The party-graph problem and where AI helps versus hurts

The hardest part of a real conflicts dashboard isn't the UI, it's the party graph. "Acme Industries" and "Acme, Inc." being the same entity. "Acme Industries (a wholly-owned subsidiary of Holdings LLC)" being a related party. Family relationships, common officers, shared addresses. Most firms' existing party data isn't structured for this; it's a flat list of names.

Claude Design and Claude Code don't solve this. They give you the dashboard. The graph data has to come from somewhere. Two reasonable paths:

- Use what you have. If your firm's existing party records have a parent-company field, build the graph view from that. It won't be complete, but it's better than nothing. The dashboard surfaces the structure that exists. - Layer in an enrichment service. Vendors like Diligent, Refinitiv, Dun & Bradstreet, or Crunchbase Pro provide entity resolution and corporate-family data via API. Wire one of those into the dashboard's party-search step. Cost varies, typically $5K-$30K/year for mid-size firms, but the graph quality improves materially.

Where AI specifically helps: fuzzy-matching name variants ("Acme Industries Inc." / "ACME industries, inc." / "Acme Indus." all map to one canonical record), summarizing prior matters into a paragraph an associate can read in 30 seconds, and surfacing related-party flags from email metadata or document review. Claude Opus 4.7's improved calibration (less likely to proceed confidently with bad plan, per the Claude Opus 4.7 release notes) makes it materially safer for the summarization step than prior models.

Where AI specifically doesn't help: making the conflict-clearance decision itself. The model can flag for human review; it can't sign off on clearance. ABA Model Rule 1.7 makes the clearance decision a human-judgment call with malpractice exposure. The dashboard routes; the partner clears. Don't let the green pill replace the partner-sign-off step. The Claude Opus 4.7 for legal teams 2026 guide covers the calibration math for this kind of human-in-the-loop work.

Cost math against a CLM or conflicts-platform vendor

For a firm of 50 attorneys, the relevant comparison set:

- Build with Claude Design + Claude Code. Subscription cost: 50 seats on Team Standard at $25/month annual = $1,250/month, $15,000/year for the full Anthropic stack covering this build and every future build. Hosting cost for the deployed app: $50-$200/month on standard infra. Optional enrichment service: $5K-$30K/year. Total range: $20K-$50K/year. - Mid-market conflicts platform. Many firms use Intapp Open, Aderant, or Elite 3E modules. Pricing is quote-only for all three; industry estimates for a 50-attorney firm cluster around $30K-$80K/year for conflicts-specific modules, typically inside a larger practice-management contract. Implementation costs add 3-6 months of consulting. - Generic CLM with conflicts module. Tools in the $200-$600/seat/month range for full CLM with conflicts. For 50 seats, that's $120K-$360K/year, a different category entirely.

Build typically wins on total cost over 18 months for firms in the 25-200 attorney range. Above that, the existing practice-management vendor's conflicts module is usually already paid for in the parent contract, and the build math shifts toward 'integrate with what you have' rather than 'replace it.' For the smaller-firm side of that range, the Claude Design pricing tier breakdown for legal covers the per-firm-size math in detail.

The second-order read: the procurement-cycle savings is its own line item. Six months of vendor RFP, evaluation, demo, and contract negotiation costs your innovation team's time and pushes whatever was urgent enough to start the project to 'next year.' A two-week build keeps the project urgent.

The Bottom Line: The verdict: a conflict-check dashboard is the second canonical build for in-house legal teams using Claude Design — after NDA triage. The dashboard layer is straightforward; the hard part is the party-graph quality, which the design tool can't solve for you. For firms with clean party data, build. For firms with messy party data, layer in an enrichment service before deciding whether to build or buy. Either way, don't replace partner sign-off on clearance — the dashboard routes, the partner decides.