Contract and legal document annotation

Label clauses, parties, dates, and obligations in PDF agreements. Build reviewed legal document datasets with page context, structured properties, and a clear annotation protocol.
Contract & Legal Document AI example with source-data annotations and contextual photographs.

Capture structure and meaning in agreements

Create document labels for the contract concepts your extraction models need to distinguish.
Contract documents and termination clauses organized for legal document AI.

Clause and section regions

Mark sections such as payment, confidentiality, and termination using a consistent clause taxonomy.
Contract parties and effective date labeled as document regions.

Parties and key dates

Label party names and date fields on their original pages, preserving the document context around each value.
Contract delivery-obligation clause with a deadline region annotation.

Obligation and condition labels

Identify the text regions that express obligations or conditions and attach task-defined properties.
Contract renewal and termination clauses labeled as separate regions.

Renewal and termination terms

Label notice periods, renewal clauses, and termination conditions as separate concepts in contract training examples.

Why AI Teams Choose Unitlab

Bring document annotation, shared ontologies, expert review, and dataset delivery into one workflow so your team can focus on useful training data.
15X
Faster Document Annotation
60%
Free Up AI Engineers’ Time
5X
Lower AI Development Costs

Annotation types for contract & legal document ai

Pair page-aware visual regions with structured labels, text values, and properties for the document task.
Contract documents and termination clauses organized for legal document AI.

Clause and entity regions

Mark the page regions containing a clause, party, or date and assign the appropriate semantic class.

Structured legal properties

Capture clause category and other annotation attributes using the schema your specialists define.

Contract delivery-obligation clause with a deadline region annotation.

Contract & Legal Document AI FAQs

What is contract annotation for document AI?

Contract annotation labels the clauses, fields, and concepts that an extraction model should recognize in agreements and other legal documents.

Can I define my own clause taxonomy?

Yes. Define classes and properties that reflect your annotation guidelines, such as confidentiality, payment, renewal, or termination.

Can I label obligations and deadlines?

Yes. Mark the relevant text regions and use structured properties to capture the roles required by your training task.

Can I preserve multipage contract context?

Yes. PDF page navigation keeps the agreement together as one work item while labels retain their original page numbers.

Can I capture values as well as clause regions?

Yes. Use labeled page regions and structured properties to capture parties, dates, notice periods, and other task-defined values alongside clause categories.

How should teams handle ambiguous clause boundaries?

Use documented boundary rules, keep neighboring text available during review, and return unclear examples for correction before release.

Which document format does Unitlab support?

The native document workflow supports PDF files. Each PDF remains one work item, with annotations attached to their original page numbers as teams navigate the document.

How are document annotations reviewed?

Reviewers inspect page regions and their labels, resolve comments, and correct or reject work through the configured workflow. Shared classes and properties keep document labeling consistent.

Does export preserve document page context?

Yes. Unitlab Unified Export Format preserves document metadata and page numbers alongside labels, properties, and supported relationships for downstream document AI pipelines.