Legal documents—from contracts to amendments to affidavits—often require multiple signatures and initials to be valid. Missed signatures can void deals, violate compliance, or delay execution. Tensorlake enables signature detection that goes beyond OCR—analyzing handwritten, typed, and image-based marks across legal files at scale.

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Why This Matters

  • Legal workflows depend on valid, fully signed agreements
  • Missed or misplaced signatures can result in liability or rework
  • Manual signature checks are slow, inconsistent, and error-prone

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How Tensorlake Helps

  • Detects presence (or absence) of signatures per signer, per page
  • Flags missing signatures automatically
  • Returns structured signature status alongside extracted fields
  • Enables routing for human review or blocking incomplete documents
Want to ensure no legal doc goes unsigned? Join our Slack Community.