Human receptionist
Fixed payroll + coverage gaps
Best for judgment-heavy calls and in-office context, but expensive to cover nights, weekends, overflow, and multilingual demand.
AI Concierge spoke
AI receptionist cost: compare AI, human reception, and answering services.
For law firms, the cheapest receptionist is not always the best intake system. The real cost is missed leads, slow follow-up, bad qualification, and work your staff must redo.
Cost model
Compare the cost by what happens after the phone rings.
A human receptionist, an answering service, and an AI receptionist are priced differently because they solve different parts of the intake job.
Answering service
Per-minute or package pricing
Good for coverage and basic messages, but handoff quality varies and staff still re-enter, qualify, and route the work.
AI receptionist
Software + setup + monitoring
Strong for consistent scripts and instant coverage, but unsafe if it is not connected to firm context and approval gates.
FirmOps AI Concierge
Managed build + operating layer
Designed around signed-case economics: answer, qualify, route, log, and improve the intake workflow with human oversight.
What changes the price
Price the receptionist by intake coverage, not just by the tool.
Public answering-service and AI-answering plans are commonly packaged by minutes, calls, features, or coverage level. For a law firm, the useful comparison is the total operating cost of getting a lead answered, qualified, routed, and logged.
- Call and form volume: flat packages break differently than per-minute or per-call models.
- Coverage window: business-hours reception is not the same as nights, weekends, and overflow.
- Bilingual intake: language coverage matters most when the lead is ready to hire now.
- Qualification depth: simple message-taking is cheaper than scripted fit checks and routing logic.
- System integration: Clio/intake logging and review queues require setup and monitoring.
- Human oversight: safer deployments include review, escalation, and monthly tuning time.
Decision worksheet
Compare cost by signed-case readiness.
Do not compare a basic answering plan to a managed AI Concierge as if they do the same job. Ask what each option leaves for staff to finish.
How many qualified leads arrive after hours?
If the best leads wait overnight, coverage cost should be compared against signed-case opportunity, not phone minutes alone.
What does staff still re-enter or clean up?
A low monthly plan can still be expensive if every message creates manual qualification, routing, and Clio-entry work.
Which actions need approval?
The safer model is to draft logs, summaries, and follow-ups first, then let humans approve before sends or record changes.
The better question
What does a signed case cost you when intake is slow?
A receptionist budget is easy to compare. Lost-case economics are harder: calls missed after hours, leads waiting overnight, facts copied into the wrong place, and staff spending time on leads that never fit.
FirmOps frames AI receptionist cost around operating leverage. The first build should reduce response time, improve qualification, and make the handoff measurable before you expand into more managed agents.
Next step
Price the first workflow by proving the intake outcome.
Bring one intake bottleneck to the demo. We will show how FirmOps would answer, qualify, route, and supervise the work.