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moher.ai
Industry — Legal servicesAll industries

AI development for legal services.

Intake systems, case triage, matching engines, and content built for a category where a single acquired client can justify the whole program.

  • Intake and triage
  • Matching engines
  • Hiring-intent content
  • Signed-matter attribution

Legal has the highest tolerance for acquisition cost of almost any category and the worst intake infrastructure. Firms spend heavily on demand and then lose it to a voicemail box on a Friday afternoon.

We build the intake and triage layer first — qualification, routing, response-time enforcement — then acquire against it, because demand poured into a leaking intake is the most expensive mistake in the category.

What we build here

Built for this category, not adapted to it.

01

Intake and triage

Structured qualification, automatic routing, and response-time enforcement — with an audit trail on every inbound matter.

02

Matching engines

Consumer-facing systems that qualify a matter and connect it to the right practice, with defensible routing logic.

03

Hiring-intent content

Content architecture built around the queries people use when they're ready to retain someone, not just when they're reading.

04

Signed-matter attribution

Case management outcomes fed back to the acquisition layer so spend chases signed matters rather than form submissions.

Legal services — questions

Asked and answered.

01
Do you work with individual firms or networks?
Both. Networks and marketplaces are where the systems work hardest, but single-firm intake rebuilds are frequently the fastest win available.
02
Can AI handle intake?
It can handle qualification, routing, and follow-up reliably. We keep human gates on anything that constitutes advice or a commitment.
03
How do you measure success?
Signed matters and cost per signed matter. Form fills are an input, not a result.

Building in legal services?.

Two honest paragraphs beat a ten-page RFP. We answer inside one business day, and the first call is 45 minutes with someone who can scope it.

Or write directly — t@moher.ai