Klarity
Contract analytics software
OCR software
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What is Klarity
Klarity is an AI-assisted contract review and analytics platform that extracts key terms from contracts and other business documents and presents them in structured outputs. It is used by legal, procurement, and revenue teams to accelerate contract intake, clause/term identification, and downstream reporting. The product emphasizes configurable extraction “playbooks” and workflow-oriented review for common contract types, with OCR used to process scanned or image-based documents.
Structured term extraction workflows
Klarity focuses on extracting specific contract fields (for example, parties, dates, renewal terms, and key obligations) into structured data that can be reviewed and corrected. This supports contract analytics use cases such as portfolio audits and obligation tracking. The workflow orientation can reduce manual copy/paste and spreadsheet-based tracking when teams need consistent outputs across many documents.
Configurable review playbooks
The platform is commonly positioned around configurable templates/playbooks for different document types and review requirements. This can help teams standardize what gets extracted and how exceptions are flagged. It is useful when different business units require different term sets or risk checks for similar agreements.
OCR for scanned documents
Klarity includes OCR capabilities to ingest contracts that are not born-digital, such as scanned PDFs. This expands coverage for legacy repositories and third-party paper-based agreements. OCR support is a practical requirement for contract analytics programs that need to analyze older or externally provided documents.
CLM depth may be limited
Klarity is primarily oriented to review, extraction, and analytics rather than end-to-end contract lifecycle management. Organizations that need full authoring, negotiation, approvals, e-signature, and post-signature administration in one system may require additional tools or integrations. This can increase implementation complexity compared with suites that provide broader CLM functionality.
Accuracy depends on document quality
As with most OCR and AI extraction tools, results can vary based on scan quality, formatting variability, and the presence of handwritten or low-resolution content. Teams should expect to allocate time for human validation, especially for high-risk clauses and non-standard templates. This is particularly relevant when analyzing heterogeneous third-party paper contracts.
Integration details not always clear
Publicly available information on out-of-the-box integrations, supported connectors, and API depth can be limited compared with more established enterprise platforms. Buyers may need to validate integration coverage for document repositories, CRM/ERP systems, and data export requirements during evaluation. Limited prebuilt integrations can shift effort to custom implementation.
