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Example engagement · Legal Services

AI Client Intake for a Personal Injury Firm

An intake assistant on web chat and phone that collects the facts, checks basic case criteria and books qualified callers with an attorney.

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< 1 min
Response time, day or night
+22%
Signed cases from the same enquiry volume
-50%
Intake time on unqualified enquiries
Profile — Personal injury firm, about 1,500 enquiries a monthTimeline — 6 weeks to productionTeam — 3 engineers
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Enquiries arriving after hours waited until morning, by which time many callers had signed with another firm. Intake staff spent time on cases the firm would never take.

What we build

The approach.

  • 01Encoded the firm's case criteria: incident type, dates, injuries and jurisdiction.
  • 02Collected facts conversationally on chat and phone, around the clock.
  • 03Booked consultations for qualified callers and politely referred the rest.
  • 04Logged every conversation to the case management system.
Where the AI works

Claude gathers the incident facts, checks them against the firm's criteria and books or refers, without giving legal advice.

Claude APITwilio VoiceTypeScriptClio APIPostgres
Proof, not promises

How we measure it.

Response time comes from chat and phone logs. Signed cases are compared with the same months the year before. Intake time is logged per enquiry.

Questions

Before you ask.

No. Beyond Technologies limits it to collecting facts and booking consultations, and it says so to every caller.

Clio, Filevine and others with an API. Every conversation is logged to the matter.

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

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