Clio to Amazon QuickSight Integration

How Datrise loads Clio into Amazon QuickSight

Datrise syncs Clio's matters, contacts, time entries, bills, documents, and calendar events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Clio: Legal practice management for matters, time, and billing.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Clio entities map to Amazon QuickSight

Clio entity	Amazon QuickSight object	Notes
matters	`clio_matters`	id PK · custom fields → flattened columns for analyses
contacts	`clio_contacts`	id PK · linked to clio_matters
time entries	`clio_time_entries`	id PK · linked to clio_matters
bills	`clio_bills`	id PK · linked to clio_matters

FAQ

How does Datrise handle Clio's custom fields in Amazon QuickSight?

Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.

How does the Clio to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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