Source connector
Clio connector
Clio integration for databases, warehouses and BI tools
Legal practice management for matters, time, and billing. Datrise captures Clio entities such as matters, contacts, time entries, bills, documents and calendar events, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
The Clio Manage API v4 authenticates with OAuth 2.0, incremental runs key on updated_since, and Clio caps calls at 50 requests per minute per access token during peak hours (US/CA 04:00-19:00 PT, EU 07:00-22:00 GMT, AU 06:00-21:00 AET, Mon-Fri); limits are raised off-peak by an unpublished, region-dependent amount.
Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `clio_matters`) with a schema derived from the Clio API rather than a flattened CSV, in any of the 43 supported destinations.
Datrise is in early access: pick a destination below to open the Clio pipeline page, and join the waitlist to get the Clio connector (CRM) with guided onboarding.
What Clio data Datrise extracts
Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.
| Object | Landing table | Sync mode |
|---|---|---|
| matters | clio_matters | Upsert by primary key, incremental on updated-at |
| contacts | clio_contacts | Upsert by primary key, incremental on updated-at |
| time entries | clio_time_entries | Upsert by primary key, incremental on updated-at |
| bills | clio_bills | Upsert by primary key, incremental on updated-at |
| documents | clio_documents | Upsert by primary key, incremental on updated-at |
| calendar events | clio_calendar_events | Append-only, incremental by timestamp |
Clio API: setup facts for the connector
Verified against the vendor documentation on 2026-09-02. Unknown values are left blank rather than guessed.
| API | Clio Manage API v4 |
|---|---|
| Authentication | OAuth 2.0 — Clio implements standard OAuth 2.0 authorization-code grant through a registered app; tokens are scoped per model (e.g. a matters scope, a webhooks scope). |
| Pagination | cursor — Cursor pagination is the default (order=id(asc), no offset) and follows `meta.paging.next` until absent; the alternative offset method is capped at 10,000 total records (50 pages) and index actions return 200 results per page unless otherwise noted. |
| Rate limit | 50 requests per minute per access token during peak hours (US/CA 04:00-19:00 PT, EU 07:00-22:00 GMT, AU 06:00-21:00 AET, Mon-Fri); limits are raised off-peak by an unpublished, region-dependent amount |
| Incremental cursor | updated_since — List endpoints accept a documented `updated_since` (and `created_since`) standard query filter for delta syncs, e.g. `matters.json?updated_since=<ISO8601>`. |
| Webhooks | Yes — Clio Webhooks (created/updated/deleted events per model, HTTPS callback only) |
| Bulk export | No |
| Deletes detectable | Yes — no polling-based delete flag on core objects (matters/contacts); deletes are only observable in near-real time via a `deleted` event webhook subscription |
What bites when replicating Clio
- Peak-hour rate limiting is 50 requests/minute per access token and returns `429 Too Many Requests` with a `Retry-After` header; the off-peak increase is real but its size is unpublished and varies by region.
- Offset pagination silently stops working past 10,000 records (50 pages of 200): large objects need cursor pagination (`order=id(asc)`, no `offset` param) with no upper bound instead.
- The `fields` parameter is required to get anything beyond a minimal default field set on every index/show response, which is easy to miss when first wiring up an endpoint.
- There is no `is_deleted` filter on core list endpoints (matters, contacts); detecting deletes requires a standing `deleted`-event webhook subscription rather than polling.
Popular destinations for Clio
Choose a destination below to open the ready pipeline page.
- AAirtable
Relational spreadsheet destination for ops and go-to-market teams.
View pipeline - AAmazon Athena
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View pipeline - AAmazon DynamoDB
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View pipeline - AAmazon QuickSight
AWS serverless BI with SPICE and embedded analytics.
View pipeline - AAmazon Redshift
AWS petabyte-scale warehouse with Spectrum.
View pipeline - AAmazon S3 Data Lake
Object storage landing zone for parquet and snapshots.
View pipeline - AApache Superset
Open-source BI for SQL exploration, charts, and dashboard publishing.
View pipeline - AAzure Data Lake Storage
ADLS Gen2 object storage for analytics workloads.
View pipeline - AAzure Synapse
Microsoft analytics workspace with SQL pools.
View pipeline
Clio connector FAQ
- What Clio data does the connector extract?
- 6 objects: matters, contacts, time entries, bills, documents and calendar events. Each lands in its own table with types preserved; history-style objects (1: calendar events) load as append-only streams.
- Is the Clio integration incremental?
- Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
- Where can I load Clio data?
- Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Clio → destination pair has its own page with the object-to-table mapping.
Related CRM sources
Other sources in the same category, each with its own connector page.
Early access
Launch your Clio pipeline with guided onboarding
Join the waitlist to get priority access for Clio integrations with guided setup, schema-aware mapping, and production-grade incremental sync.