Clio Contact and Matter Data Prep

Why Data Prep Matters

When we connect Clio to another system — especially for conflict checking — the quality of the results depends entirely on the quality of the data going in. Duplicate contacts, inconsistent name formats, and missing relationships all cause false positives or missed conflicts.

Spending an hour on cleanup before we start saves days of troubleshooting later.

Step-by-Step Data Cleanup

1. Deduplicate Contacts

Clio doesn’t prevent you from creating multiple contact records for the same person. Before syncing, look for:

• Same person entered multiple times with slight name variations (“Bob Smith” vs “Robert Smith”)
• Same company entered under different names (“ABC Corp” vs “ABC Corporation” vs “ABC Corp.”)
• Old contacts that were re-entered instead of updated

How to find them: Sort your contacts by name and scan for near-matches. Clio’s contact list can be exported to CSV for easier review in a spreadsheet. Merge duplicates in Clio by keeping the record with the most complete data and updating it with anything missing from the duplicate.

2. Standardize Name Formats

Clio has separate first name and last name fields for person contacts. Make sure:

• Full names aren’t crammed into the first name field
• Prefixes (Dr., Hon.) are in the prefix field, not the first name
• Company contacts use the company name field, not the person name fields
• Suffixes (Jr., III, Esq.) are in the suffix field

This matters because conflict checking matches on name components. If “John Smith Jr.” is all in the first name field, the system can’t properly match against “John Smith” in another record.

3. Link Related Parties

For conflict checking to work properly, contacts need to be connected to the right matters with the right roles. Review your matters and check that:

• All parties are listed on each matter (clients, opposing parties, related parties)
• Relationships between contacts are documented (corporate affiliates, family members)
• Party roles are accurate (client vs related contact vs opposing party)

Missing relationships are the number one cause of missed conflicts.

4. Clean Up Matters

• Close or archive matters that are truly complete
• Make sure matter descriptions are filled in and consistent
• Verify that practice area and matter type are set correctly — we often use these as filters during sync

5. Review Custom Fields

If you’re using custom fields in Clio, make sure they’re consistently filled in. Empty custom fields that the integration depends on will cause records to sync with incomplete data.

What Causes False Positives and Negatives

False positives (flagging a conflict that isn’t real):

• Duplicate contacts — the system thinks two different people are involved when it’s the same person twice
• Common names without enough distinguishing data (no company, no email)

False negatives (missing a real conflict):

• Related parties not linked to matters
• Name variations that don’t match (“Bill” vs “William”)
• Contacts entered under a company name with no individual contacts linked

Common Issues

“We Have Too Many Duplicates to Fix Manually”

If you have thousands of contacts, a manual review isn’t practical. We can run a deduplication analysis as part of the integration setup, flagging likely duplicates for your review before we merge anything.

Custom Fields Not Mapping

If custom fields in Clio don’t map to the destination system, we’ll set up field transformations. But the data in those fields needs to be consistent — if a dropdown field has freetext entries from before it was locked down, those will need cleanup.

Next Steps

• Set up your Clio developer account: Clio Developer Account Setup
• Learn about Clio’s API authentication: Clio API Authentication
• Learn more about our Clio Integration Services