How to use Claira to extract objective coding fields

Manually capturing non-subjective document data is traditionally one of the most time-consuming phases of early case assessment. By using Claira’s multi-code field-mapping architecture, legal teams can automate objective coding completely. Instead of opening every file to type out administrative details, configuring Nuix text fields allows Claira to extract, standardize, and write vital metadata directly into a case workspace in a single automated pass.

How to Map Key Data Fields for Automated Extraction

Using Claira allows users to simultaneously target and populate up to eight distinct custom metadata fields per document scan:

• Extracting Document Dates: Learn how to configure date fields so Claira can scan document text, isolate the true creation or transmission date, and standardize the format across the entire database to build immediate chronologies.

• Identifying Authors and Recipients: Set up dedicated user fields to capture metadata regarding key custodians. Claira extracts sender, recipient, and cc'd individuals directly from document bodies or email headers, populating searchable columns instantly.

• Categorizing Document Types and Languages: Map fields to automatically tag file types (such as contracts, board minutes, or financial statements) and identify foreign languages. This allows teams to quickly isolate or route specific files to specialized reviewers.

• Capturing Titles and Structural Metadata: Establish custom columns to extract document titles, subject lines, or embedded structural identifiers. Claira pulls this data directly from unindexed image files or text strings, filling structural data gaps without manual intervention.

By replacing manual entry with this automated workflow, paralegals and litigation support teams can refocus their efforts on reviewing complex legal issues rather than performing repetitive data logging