DatriseAI-first ETL

Clio to Microsoft SQL Server Integration

AI-first ETL from Clio into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Clio into Microsoft SQL Server

Datrise syncs Clio's matters, contacts, time entries, bills, documents, and calendar events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Clio entities map to Microsoft SQL Server

Clio entityMicrosoft SQL Server objectNotes
mattersclio_mattersid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsclio_contactsid PK · linked to clio_matters
time entriesclio_time_entriesid PK · linked to clio_matters
billsclio_billsid PK · linked to clio_matters

FAQ

How does Datrise handle Clio's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Clio to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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