How to Do Objective Coding with Noticia Go

Objective coding is the process of adding or correcting factual metadata about documents during review. This typically includes fields such as:

• Document Date

• Title / Description

• Author / From / To

• Document Type

• Language

• Other structured metadata fields

Objective coding is different from legal or issue coding because it focuses on extracting verifiable (objective) information directly from the document, rather than applying legal judgment or analysis (subjective).

Noticia Go allows teams to automate much of this work by using AI to extract metadata directly from document text and populate coding fields efficiently and consistently.

When to Use Noticia Go for Objective Coding

Noticia Go is especially useful when:

• Documents are missing metadata

• Metadata imported from collections is incomplete or unreliable

• Large volumes of documents require standardized formatting

• Chronologies or structured exports are needed

• You want to accelerate early case assessment or document organization

Workflow: Objective Coding Using Noticia Go

Step 1 – Open the Noticia Go Workspace

Open (or create) the Noticia Go AI workspace so the Go panel is centered, with the viewer and coding panel available on the right.

Step 2 – Confirm Text Extraction

Noticia Go works only from extracted document text.

Before running objective coding:

1. Select the documents you want to process

2. Run text extraction or OCR if necessary

3. Confirm documents contain extracted text (Field 'Extracted Text Status' = 'Success')

If a document contains no extracted text, Noticia Go cannot analyze it.

Step 3 – Create or Connect Destination Fields

Noticia Go writes AI results into text (memo) fields.

Best practice is to:

• Create dedicated AI fields (example: OC Date, OC Title, etc.)

• Connect those fields inside Noticia Go using the field ID

• Use separate fields for each metadata type to keep results organized

This allows reviewers to validate AI outputs before updating primary metadata fields.

Step 4 – Build and Test Your Prompt

Before running batch processing, always test your prompt on a single document.

For example prompts, use the Quickstart menu under Objective Coding templates.

Testing ensures:

• Correct formatting

• Consistent extraction

• Proper interpretation of document structure

Adjust prompts as needed before scaling.

Step 5 – Run a Bulk Scan

Once the prompt produces reliable results:

1. Filter or select the target document set (for example, documents missing dates)

2. Select the appropriate destination field

3. Run Scan List

Noticia Go will populate the selected field across all selected documents.

Step 6 – Perform Quality Control

After batch processing:

• Filter for fallback values (example: 01/01/1900)

• Spot-check documents for accuracy

• Confirm formatting consistency

• Validate edge cases (multiple dates, unclear titles, etc.)

AI objective coding should always be verified before updating core metadata fields.

Step 7 – Update Primary Metadata Fields

Once validated:

• Copy or overlay AI-generated metadata into standard coding fields (such as Document Date or Title)

• This step can be done manually or by importing an Overlay file depending on workflow requirements

Updating primary fields allows sorting, searching, and chronology building using validated metadata.

Best Practices

Be Specific in Prompts

Clear formatting instructions produce more consistent results.

Process Similar Documents Together

Grouping similar document types (e.g., invoices, emails, reports) improves AI consistency.

Always Use a QC Step

Objective coding is factual, but AI output still requires verification.

Use Fallback Values

Fallback values help identify documents needing manual review.

Limitations to Be Aware Of

• Noticia Go analyzes only extracted text

• Poor OCR quality limits AI accuracy

• Go analyzes documents individually and does not analyze relationships between documents

• Complex metadata interpretation may still require reviewer judgment

Common Objective Coding Use Cases

Noticia Go can assist with:

• Document date extraction

• Title generation

• Author and recipient identification

• Language detection

• Document type classification

• Translation or summary generation for chronology building

Summary

Noticia Go significantly reduces manual objective coding effort by:

• Automating metadata extraction

• Standardizing formatting

• Accelerating early case organization

• Supporting chronology and reporting workflows

Using a structured workflow that includes prompt testing and quality control ensures the most reliable results.

If you need assistance building prompts, configuring fields, or setting up batch workflows, contact support or your Noticia Go implementation team.