Understanding Filevine Data Types
Tom Copeland
CEO, Matterflow® | support@matterflow.com
Category: VineMigrator®
Essential guide to Filevine data types for successful migrations
VineMigrator® supports a wide range of data types when transferring information into Filevine. Understanding these data types is essential to ensuring your data maps correctly and behaves as expected once imported. This guide explains what data types are, why they matter, and how to use them effectively during your migration process.
Understanding Data Types
Data types define how information is stored, validated, and processed within Filevine. They range from common formats — such as text and numbers — to specialized types that are unique to Filevine's data model. When your import data matches Filevine's expected data types, VineMigrator® can process it accurately and efficiently.
Why Data Types Matter
Data Type Reference Guide
Below is a reference list of data types supported by Filevine and included in VineMigrator® import templates:
| Data Type | Description | Example |
|---|---|---|
| String | Any text | Hello, World! |
| Boolean | True/False statement | TRUE |
| Date | Date in mm/dd/yyyy format | 10/28/2021 |
| Time | Time in hh:mm:ss format | 14:30:00 |
| Integer | Whole numbers without decimal or special characters | 4486863 |
| Valid email address | user@example.com | |
| Dropdown | Single or multi-choice selection separated by a comma | Client,Witness |
| Text | Same as string, for longer content | This is a long string of text... |
| Currency | Monetary value (up to 2 decimal places) | 34.45 |
| Plain Decimal | Number with unlimited decimal places | 685.45856 |
Best Practices for Data Type Mapping
Happy Migrating!
Still having trouble? Feel free to contact us at products@vinetegrate.com