User Guide

Create and evaluate attributes in Acrobat Analyzer

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  1. Acrobat Analyzer overview
  2. Service-level Documents
    1. System Requirements
    2. Product Constraints
    3. Transaction consumption
    4. Release Notes
    5. Technical notes and release schedule
  3. Admin and configuration
    1. Overview
    2. Enable user access
    3. In-app settings
      1. General settings
      2. User Management
      3. Asset Management (Collections)
      4. Audit Logs (Reports)

  4. User guide
    1. The Home page
    2. Files and Collections
      1. Overview of collections
      2. Create a manual upload collection
      3. Create a Linked Collection 
      4. Share a Collection
      5. Edit a collection
        1. Editing collections overview
        2. Upload a file to a collection
        3. Add an already uploaded file 
        4. Remove a file from the collection
      6. Filter a collection
      7. Delete a collection
      8. Open a file
      9. Tag a file
      10. Compare files
      11. Delete a file
    3. Attributes
      1. Overview of attributes
      2. Tips for creating successful attributes
      3. Create and evaluate an attribute - walkthrough
      4. Create a custom attribute
      5. Review extracted attributes
      6. Evaluate and refine your attribute
      7. Validate an attribute's extraction
      8. Refresh a collection's attributes
      9. Manually override an attribute's value
      10. Re-extract an attribute's value
      11. Export attribute values
      12. Download attribute definitions
      13. Upload attribute definitions
      14. Disable an attribute
    4. Integrations
      1. SharePoint setup
        1. Add a SharePoint account with automatic folder sync
        2. Trigger a manual refresh
  5. Onboarding
    1. Things
  6. Support
    1. FAQ and common issues
    2. Contact Support - Report attribute issues

Extract structured values from documents using attributes, then review and export those results to understand patterns across your content.

Using attributes, you can extract values from documents, review results across a document set, and export structured data for analysis. This walkthrough shows how this works in practice.

Benefits

Extracting attribute values from documents helps you:

  • Identify key clauses and concepts across large document sets.
  • Normalize how important information is detected and reviewed.
  • Reduce manual document review effort.
  • Export structured data for reporting and analysis.

What you'll do

In this walkthrough, you'll:

  • Create custom attributes using plain-language definitions.
  • Run extraction across a set of documents.
  • Review extracted values.
  • Filter and export attribute data.

Before you begin

For this exercise:

  • The Home page includes a set of 40 sample documents. 
  • The documents include a mix of agreement types to demonstrate cross-document extraction (20 sales and 20 vendor agreements).
  • The Attributes page includes several example attribute definitions so you can see results immediately.

An attribute is a defined piece of information you want to identify across a set of documents. It represents a concept — such as a fee, a date, a restriction, or a right — that may appear in different ways across different files.

Rather than searching one document at a time, an attribute lets you describe what you are looking for once and apply that definition across an entire collection. The result is a structured view of how that concept appears throughout your documents.

Attributes help turn unstructured document content into consistent, comparable data. They make it possible to analyze patterns, filter documents by specific criteria, and export results for reporting or further review.

When you create a custom attribute, you are defining how a specific concept should be identified across your documents. The steps that follow walk through how to define that concept clearly, review how it performs, and refine it into reliable, structured data.

Follow the process to create a custom attribute using the values in the three examples below.

The Home page with the "Create attributes for analysys" tiule highlighted

These examples show how common, high-value concepts appear across many documents.

Example attribute: Audit rights

What it finds
Clauses that give either party the right to audit books, records, or physical locations to ensure compliance.

Attribute values:

  • Attribute name: Audit rights
  • Attribute type: Text
  • Attribute mode: Strict
  • Document type: Legal Policy and Compliance Documents
  • Attribute group: Legal review
  • Detailed attribute description: Clauses that give any party the right to audit the books, records, or physical locations of the counterparty to ensure compliance with the contract.

Example attribute: Revenue or profit sharing

What it finds
Clauses where one party is entitled to share revenue or profit with another party based on company value or financial performance milestones, including royalties or bonuses.

Attribute values:

  • Attribute name: Revenue/profit sharing
  • Attribute type: Text
  • Attribute mode: Strict
  • Document type: Legal Policy and Compliance Documents
  • Attribute group: Legal review
  • Attribute definition: Clauses indicating one party is entitled to share revenue or profit with the counterparty that are contingent on company value or financial performance milestones. Include royalty arrangements and bonuses tied to revenue or valuation targets. Exclude fixed payments or grants with no performance condition.

Example attribute: Non-compete restrictions

What it finds
Clauses that restrict a party from competing in business, promoting or distributing competing products, or working for competitors.

Attribute values:

  • Attribute name: Non-compete restrictions
  • Attribute type: Text
  • Attribute mode: Strict
  • Document type: Legal Policy and Compliance Documents
  • Attribute group: Legal review
  • Attribute definition: Restrictions preventing a party from competing in business, promoting/marketing/distributing competing products, or working for competitors. Include any geographic or time limitations and carve-outs. Do not include exclusivity arrangements, endorsement restrictions, or clauses stating no restriction exists.

Review the extracted attribute values on the collection page to confirm they were created and applied correctly. Confirm the attribute appears as a column and that values display inline for each document before refining or evaluating further.

The collection view with the "Add attribute" selector exposed.

After reviewing the results, evaluate the extraction to determine whether the definition needs refinement. 

Initial results are often too broad or too narrow. Refining the attribute definition and re-running the extraction helps improve accuracy over time.

The attribute page with the definition exposed and the "Evaluate attribute" button highlighted.

Filter a collection using attribute values to narrow the document list to only the files relevant to your current objective.

You can apply multiple filters across different attributes to refine the collection further and display only documents that match your defined criteria.

The collection view with the "Filter by" panel exposed

Once you’ve applied the desired filters, the collection reflects only the documents and attribute values you want to include. You’re now ready to export the results.

Export the extracted attribute values to a CSV file when you’re ready to use the data outside of Acrobat Analyzer. A CSV export lets you review results in spreadsheet tools, share findings with stakeholders, or import the data into other reporting systems for further analysis.

The collections page with the "Document Attributes" panel exposed and the "Export extracted data" menu option highlighted.

Frequently asked questions

  • How long does extraction take?
    The system typically completes extraction within a few minutes for small document sets. Larger sets scale proportionally.
  • Can an attribute definition be changed after creation?
    Yes. Attributes can be edited and re-evaluated at any time.
  • Can attributes extract dates, amounts, or names?
    Yes. Select the appropriate value type when creating the attribute to improve the extraction results.

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