Structured clause extraction, jurisdiction normalization, and case law data pipelines for legal AI tools. Delivered with confidentiality guarantees and the precision that legal teams demand.
Legal AI requires higher precision and more nuanced context than general NLP. Ambiguous clause extraction or missed jurisdiction context can mean real liability.
Key contract provisions — indemnification, liability caps, termination clauses, and payment terms — extracted and structured into consistent schemas for AI contract review pipelines.
Legal references, statute citations, and case law normalized across US, EU, and UK jurisdictions so your legal AI understands the governing law context of every document.
Structured extraction from public court databases, regulatory publications, and legislative records — formatted for RAG-based legal research and precedent analysis tools.
Pipelines designed with legal privilege considerations in mind. Client-side data is handled under strict NDA and confidentiality terms. PII and attorney-client identifiers masked on delivery.
From M&A due diligence to contract review automation and regulatory compliance monitoring, ScrapeZen delivers the structured legal data your AI needs to perform at a professional standard.
// Sample normalized contract clause
{
"clause_type": "limitation_of_liability",
"governing_law": {
"jurisdiction": "Delaware",
"statute": "DGCL § 102(b)(7)"
},
"cap": {
"basis": "fees_paid",
"multiplier": 1,
"period_months": 12
},
"exclusions": [
"gross_negligence",
"willful_misconduct"
],
"pii_masked": true
}ScrapeZen handles client-provided legal documents under strict NDA and confidentiality agreements, included in every MSA. For publicly available legal data (court filings, regulatory databases, published legislation), we extract and normalize without any confidentiality requirements. Attorney-client privileged material is always handled under a signed BAA-equivalent confidentiality arrangement.
We extract from publicly available sources including PACER (US federal court filings), EUR-Lex (EU legislation), UK Government legislation portals, SEC EDGAR (regulatory filings), company registries, and legal news databases. For jurisdiction-specific or subscription-gated legal databases, a separate data licensing review is required.
Our normalization pipeline includes jurisdiction detection and tagging, so each extracted clause or provision is annotated with its governing law context (e.g., 'Delaware Corporate Law', 'GDPR Art. 28'). This allows your legal AI to correctly apply jurisdiction-specific interpretation logic without manual tagging.
Request a free Proof of Concept — we'll extract, normalize, and deliver a representative legal dataset sample within 3 to 7 business days.
Request a Free Legal PoC