Parse contracts, court filings, pleadings, and regulatory documents into structured data—extracting parties, dates, provisions, and obligations automatically.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
“We processed 2,500 contracts during due diligence for an acquisition. Automated parsing identified the key provisions and flagged the 40 agreements that needed detailed attorney review, saving weeks of associate time.”
“Indexing our litigation files used to be a paralegal’s full-time job. Now court filings are automatically parsed with case numbers, parties, and filing dates extracted on upload.”
“Regulatory compliance tracking across 300 filings was unmanageable with manual review. Parsing gives us a structured database of obligations and deadlines that we can actually monitor.”
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.
Law firms, corporate legal departments, and legal service providers manage enormous volumes of documents that contain critical information in unstructured formats. Court filings, pleadings, discovery documents, regulatory submissions, corporate governance materials, and correspondence all contain data that lawyers need to find, compare, and analyze. Legal document parsing converts these documents from passive files into structured, searchable data assets.
The parsing challenge in legal documents is distinct from other industries. Legal writing uses specialized terminology, citation formats, defined terms, cross-references, and nested clause structures that general-purpose document tools cannot interpret correctly. A legal document parser must recognize case citations, statutory references, parties and their roles, filing dates, court jurisdictions, and the hierarchical structure of provisions within agreements and orders.
The volume challenge in legal is growing rapidly. E-discovery alone can involve millions of documents in a single matter. Regulatory compliance requires tracking obligations across hundreds of filings. M&A due diligence demands review of every material contract in a target company. Lido processes legal documents at scale, extracting structured data that enables legal teams to search, filter, and analyze document sets that would be impossible to review manually within practical timeframes.
Legal organizations evaluating document parsing should assess accuracy on their specific document types, understanding of legal terminology and citation formats, the range of data points extracted, and security standards appropriate for attorney-client privileged and confidential materials. Lido provides SOC 2 Type 2 compliance with AES-256 encryption and 24-hour document deletion.
Legal document parsing handles contracts, court filings, pleadings, motions, orders, discovery documents, regulatory submissions, corporate governance materials, and legal correspondence. The AI adapts to each document type and extracts the relevant legal data points.
The AI identifies case numbers, court jurisdiction, parties and their roles (plaintiff, defendant, petitioner, respondent), filing dates, document types (complaint, answer, motion, order), and key relief requested. This enables automatic indexing and categorization of litigation documents.
Yes. Legal document parsing processes discovery materials including document productions, interrogatory responses, and deposition transcripts. The AI extracts identifying information, dates, parties mentioned, and key topics to support document review and analysis workflows.
AI-powered parsing achieves 95 to 99 percent accuracy on structured legal documents like contracts and standard court filings. Complex narrative documents like briefs and memoranda are parsed with confidence scoring so legal teams can verify critical data points.
Parsed data can be exported to Excel, Google Sheets, CSV, or JSON. The REST API enables integration with legal practice management systems, document management platforms, and e-discovery tools.
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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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