AI client intake
How Law Firms and Accountants Use AI Client Intake
Most law firms and accounting practices don't have a lead problem. They have a sorting problem.
The bottleneck is sorting, not volume
A family law office in Burnaby might field forty inquiries in a week. Maybe eight are worth a consult. The rest are outside the practice area, outside the province, already represented, or nowhere near able to fund a file. Somebody still has to read every one, write back, and work out which is which. That somebody is usually a paralegal doing it between real work.
Accounting firms hit the same wall every February. The phone lights up, and a big share of it is personal returns when the practice does corporate books only. Each of those calls costs ten minutes you'll never bill.
AI client intake is a structured conversation that runs before any of your people get involved.
What an AI intake bot actually asks
It isn't a chat window that greets people and then waits. A good intake bot runs your qualifying script, the same one your sharpest receptionist runs, and it runs it on every inquiry at 11pm on a Sunday.
For a personal injury firm that sounds like: when did the accident happen, have you spoken with another lawyer, have you reported it to ICBC. For a bookkeeping practice: what entity type, how many transactions a month, what software are you on now.
The answers come back as structured fields, not a wall of free text somebody has to decode. Your team opens the queue and sees the shape of each file in about four seconds.
The screening work it takes off your desk
- Practice area fit: routes a wills question away from your litigation team before it ever reaches a calendar
- Jurisdiction and deadlines: flags matters outside BC and pushes anything near a limitation date to the top of the pile
- Conflict pre-check: captures opposing party names and compares them against your client list before you book time
- Money questions: asks about budget and scope so your lawyer or accountant doesn't have to open with it
- Document chasing: requests the T4s, the accident report, the minute book, then follows up on whatever doesn't show
- Booking: drops qualified inquiries onto the right person's calendar with the file summary attached
The human stays in charge
This matters more in professional services than almost anywhere else. An intake bot does not give legal or tax advice, and it should say so plainly in its first message. It doesn't decide who gets a retainer. The conflict step is a pre-check that surfaces likely hits, not a replacement for the real search your firm already runs.
Set it up so every qualified file lands in front of a person with the reasoning visible. If the bot screened someone out, your team should be able to see why in one line and override it. Firms that skip that part end up not trusting the tool, which defeats the point.
What actually changes
The first thing you notice is response time. An inquiry that used to sit until Tuesday morning gets a real reply in seconds, and that matters because someone shopping for a lawyer usually calls three of them.
The second is calendar quality. Consults stop being triage sessions and start being conversations with people who already fit what you do.
The third is quieter. Your intake person stops answering the same six questions forty times a week and starts doing work that needs judgment.
Start small
Pick one channel. Your website form or your after hours phone line, not both at once. Write down the five questions your team already asks on every first call, and have the bot ask exactly those. Run it for a month alongside your current process and compare what lands on the calendar.
If you run a firm in Vancouver, Burnaby, or New Westminster and want to see what this looks like on your own intake, book a free call with Autana Solutions. We'll walk through your current process, show you where an AI employee fits, and tell you straight if it doesn't.
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