Extract parties, effective dates, term lengths, payment terms, and key clauses from contracts and legal agreements—any format, any complexity.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
“We had 4,000 vendor contracts with no centralized data. Contract OCR extracted key terms from every agreement in a week, giving us our first complete view of renewal dates and liability exposure.”
“During M&A due diligence we needed to review 800 contracts in two weeks. Automated extraction identified the key provisions across the entire portfolio and flagged the agreements that needed detailed review.”
“Auto-renewal tracking was a recurring problem. Now we get alerts 90 days before any contract renews, based on the dates extracted from the original agreements.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
Contracts govern every business relationship, yet the data within them is often inaccessible. Vendor agreements, customer contracts, partnership terms, NDAs, and employment agreements sit in document repositories as unstructured PDF files. When a legal team needs to answer questions like which contracts renew this quarter, which vendors have liability caps below a threshold, or which agreements lack a specific compliance clause, the answer requires manually reading through hundreds or thousands of pages.
Contract OCR solves this problem by extracting structured data from contract documents. The AI identifies parties to the agreement, effective and termination dates, auto-renewal provisions, payment terms, liability limitations, indemnification clauses, governing law, and other key provisions. This data becomes searchable, sortable, and analyzable—transforming a passive document archive into an active contract intelligence layer.
The complexity of contract OCR lies in the variability of legal drafting. No two contracts are formatted identically. Clause numbering, section headers, defined terms, and amendment structures differ across drafters, law firms, and jurisdictions. Lido uses AI that understands legal document structure semantically, identifying obligations and provisions by their meaning rather than their formatting. This means it processes both heavily negotiated bespoke agreements and standard-form contracts with equal effectiveness.
Legal and procurement teams evaluating contract OCR should assess extraction accuracy on their specific contract types, the range of data points extracted, integration with their contract lifecycle management platform, and security standards. Lido provides SOC 2 Type 2 compliance and AES-256 encryption, which meets the confidentiality requirements for sensitive commercial and legal documents.
Contract OCR extracts party names, effective dates, termination dates, auto-renewal terms, payment amounts and schedules, liability caps, indemnification provisions, governing law, assignment restrictions, confidentiality terms, and other key clauses. Custom extraction fields can be defined for industry-specific provisions.
AI-powered extraction reads contracts contextually, identifying clauses and provisions by their legal meaning rather than their position or formatting. This handles the variation in drafting styles, clause numbering, and section structures that exist across different law firms and counterparties.
Yes. The AI identifies amendment language, references to the original agreement, and modified provisions. It extracts the effective date of the amendment and the specific terms being changed, which is essential for maintaining an accurate view of current contract obligations.
AI-powered contract OCR achieves 95 to 99 percent accuracy on standard contract provisions like dates, parties, and amounts. Complex narrative clauses are extracted with confidence scoring so legal teams can verify provisions where precision is critical.
Extracted contract data can be exported to Excel, Google Sheets, CSV, or JSON. The REST API enables integration with contract lifecycle management platforms like Ironclad, DocuSign CLM, and Agiloft.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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