Legal
Bill more hours on legal work, not administrative tasks.
AI employees for law firms — schedule consultations, gather client information, route inquiries, and follow up automatically.
Terminology
Legal vocabulary we understand
Pain points
Industry challenges we solve
- Intake calls handled inconsistently across partners
- Client onboarding packets take days to complete
- Consultation scheduling creates phone tag
- After-hours callers reach voicemail
Use cases
AI employee use cases
Workflows
Legal operational workflows
Personal injury intake
- 1.Capture incident date, jurisdiction, and injury type
- 2.Run conflict check against firm CRM
- 3.Score lead and route to appropriate attorney pod
- 4.Schedule consultation and send digital intake packet
Family law consultation booking
- 1.Identify matter type (divorce, custody, support)
- 2.Collect opposing party details for conflict review
- 3.Offer consult slots with billing-rate disclosure
- 4.Trigger engagement letter workflow in practice system
Integrations
Works with your industry systems
Objections
Common concerns — answered
Clients expect to speak with an attorney immediately.
AI qualifies and schedules—attorneys join when the matter is scoped, with full transcript and intake data attached.
We cannot give legal advice over the phone.
Scripts stay informational—no legal advice. The AI gathers facts and books consults within your compliance guidelines.
Our intake is too complex for automation.
Branching logic mirrors your paper intake—practice area, damages, deadlines, and conflict flags—before a human reviews.
KPIs
Legal KPI targets
+22%
Consultation show rate
Confirmed reminders
−3 days
Intake cycle time
Digital packet same-day
+35%
Qualified leads / week
After-hours capture
−20 hrs/wk
Paralegal phone load
Tier-1 intake automated
Try the Legal Intake Assistant
Experience a simulated call built for legal terminology, objections, and outcomes.
Run Legal Intake Assistant demoFAQ
Legal FAQ
Deploy AI employees for Legal
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