Choose one workflow first
Start with a single caller intent from the example workflows. Map only the fields the team will actually use in Clio, then add optional transcript or summary fields after the owner confirms the structured outcome is useful.
Integration
AI phone agent integration for Clio
Capture legal intake calls in a format a law firm can review before opening a matter.
Triggers
- New legal intake saved
- Deadline flag set
- Consultation requested
Actions
- Create contact
- Create matter draft
- Add intake note
Field mapping
| Call output | Clio field |
|---|---|
| Caller name | Contact name |
| Matter type | Matter description |
| Deadline | Task due date |
| Opposing party | Conflict check note |
Setup steps
- Define intake matter types
- Map conflict fields
- Set attorney review
- Test deadline escalation
Example workflows
Troubleshooting
- Confirm every required field exists in the Call App schema.
- Keep a human review step for sensitive or irreversible actions.
- Send test calls for routine, urgent, and incomplete caller scenarios.
Implementation plan
Protect downstream data
Use required-field checks, duplicate protection, and a review step for sensitive calls. The goal is not to push every transcript into Clio; it is to create clean records that staff can trust.
Test realistic caller paths
Run a normal call, a caller who changes their answer, and a caller who triggers human handoff. Confirm the destination record shows completion status, owner summary, mapped fields, and any missing information.
Expand only after review
Once the first workflow is stable, add another related workflow or integration action. Keep each phone workflow separately named so reporting, routing, and rollback remain simple.
Launch review
Caller promise
Make the first screen and opening line match what the caller will actually get. For Clio AI phone integration, the promise should be narrow enough that a caller understands the purpose before sharing details or scanning a QR code. Avoid broad claims like "we can help with anything"; a specific promise produces cleaner calls and clearer follow-up.
Required outcome
Decide which fields are required before the call can be considered complete. A practical first version should capture caller name, matter type, deadline, then send a summary that Clio owner can act on without replaying the call. If a field is not used for routing, qualification, scheduling, or review, remove it from the first launch.
Human review
Write down the cases that should not be automated. Use human review for sensitive calls, incomplete required fields, duplicate records so the workflow stays useful without pretending to handle every edge case. Review the first real calls before connecting higher-risk actions or expanding the workflow.
FAQ
What should CallURL send to Clio?
Send a compact structured outcome rather than an unfiltered transcript. The most useful payload includes mapped fields such as caller name, matter type, deadline, opposing party, call status, summary, handoff reason, and a stable workflow identifier.
Should every call create a Clio record automatically?
No. Routine completed calls can create or update records automatically, but sensitive, incomplete, or high-risk calls should wait for review. The integration should make the next action easy without creating bad data or irreversible changes.
How do I test the integration?
Run a routine call, a call with missing required fields, and a handoff call. Confirm that required fields land in the right Clio destination, duplicate calls do not create duplicate work, and staff can understand the owner summary.
What is the safest first workflow?
Start with one of the related workflows already listed for Clio: Customer intake, Appointment booking, Call screening. Launch one clean mapping before expanding to broader phone automation.
Connect Clio
Start with a workflow-specific schema, then map each captured field into Clio.