Sue.comLegal services

A two-sided legal marketplace running support on Message before its first Series A.

Sue.

28 staff, 110k registered usersLegal services · Consumer marketplace
+184%
Tickets closed per agent per week
94%
AI accuracy on case-status questions
0
Per-seat fees as the team grew from 4 to 28
<2 min
Average first response on tier-1 questions
Our support team is six people. We close more tickets than the 30-person team at our last company. The AI is the difference, and the AI is only good because it reads our actual case database.
DC
Daniel Cho
Co-founder, Sue.com
The problem

Before Message.

Sue.com matches plaintiffs to attorneys. Every case has a unique status, a unique attorney, and a unique set of next steps. The old support stack treated everyone the same, and customers were furious when they got a canned response after a court-date change.

The switches

4 things that changed.

Side by side, what the old stack did and what Message does instead.

Before
Zendesk Suite + custom AI plugin
After
Message Business + grounded AI on case database
Before
Generic canned responses
After
AI answers grounded in each user's specific case
Before
$12 per seat per month (28 seats = $336)
After
$19 / mo, unlimited seats
Before
Manual escalation to attorneys
After
Auto-route by case type, no human queue manager
The story

How Sue.com got here.

01

The grounding problem

Sue.com tried Zendesk's AI add-on. It would write fluent, confident replies that were wrong about case statuses. One reply told a customer their case was settled when it had been refiled. That was the day the experiment ended.

02

Why grounded RAG mattered

Message.ai grounds every reply in the customer's own knowledge base. Sue.com pipes their case-status database in via the REST API. The AI cannot answer a status question without retrieving the actual case record first. Hallucinations went to zero, almost overnight.

03

Six people, three shifts

Daniel runs support with six people across three time zones. The unified queue lets them hand off chats without losing context. The AI handles 70 percent of overnight volume, so the early-shift agent walks into a clean inbox.

04

Pricing math

At 28 staff, the old Zendesk bill was $336 a month for chat alone, plus add-ons. Message Business is $19 flat, unlimited agents. Daniel says the savings will fund their next two hires.

In the build

The stack they run.

Products on the Message platform plus the integrations they connected.

Message products
Unified inboxLive chatTicketsmessage.ai
Connected integrations
HubSpotStripeNotion
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