For In-House & Corporate Legal Teams

Clear the Vendor Contract Queue Without Adding Headcount

Triage NDAs in minutes, review vendor contracts clause-by-clause, check compliance across GDPR, CCPA, HIPAA, SOX and 7 more frameworks in a single pass, and answer the business with board-ready memos grounded in cited authority. Every citation 4-layer verified. Built to keep your data confidential for the 2026 procurement bar.

11
Compliance Frameworks
120+
Clause Types Detected
Solo to 100+
Team Size
10
NDA Screening Criteria

The Problem Corporate Lawyers Face Today

The Business Sends Work Faster Than You Can Clear It

Sales wants the NDA back today. Procurement has six vendor agreements waiting. Marketing needs a quick read on a sweepstakes. A lean corporate legal team is the bottleneck for the whole company, and headcount is not coming.

Outside Counsel Is Expensive and Slow for Routine Work

Sending a standard NDA or a first-pass vendor contract review to a firm costs hundreds of dollars and takes days. Most of that work does not need a partner, it needs to get done.

Regulatory Changes Outpace Review Cycles

New data protection laws, sanctions updates, and sector-specific regulations drop every quarter. Your existing contracts may already be non-compliant and you have no systematic way to catch it.

Multi-Jurisdictional Contracts Are a Minefield

A single vendor agreement may need to satisfy GDPR in Europe, CCPA in California, and HIPAA for healthcare data simultaneously. Checking compliance manually across jurisdictions means different lawyers reviewing the same contract for different frameworks.

Board Reporting Requires Defensible Risk Scores

Leadership and the board want quantified legal risk across the portfolio, not subjective assessments that vary from lawyer to lawyer. You need consistent, repeatable scoring to justify decisions.

No Audit Trail for Compliance Decisions

When a regulator asks why you approved a contract, you need to show exactly which clauses were reviewed against which frameworks. Email-based approvals leave no structured compliance record.

The Other AI Tools Are Priced for Bigger Teams

Most in-house legal AI starts at $500 per seat and requires enterprise procurement that takes 60-90 days. A 4-person corporate legal team is not running a $24K annual contract through procurement to try a tool. You need something self-serve at a price that fits your budget today.

How Vaquill AI Helps Corporate Lawyers

01

AI Contract Review with 120+ Clause Types

Upload any contract and get a clause-by-clause analysis identifying all 120+ standard clause types, flagging missing clauses and non-standard terms.

  • Detects 120+ clause types across commercial, employment, and IP agreements
  • Flags missing standard clauses (limitation of liability, force majeure, etc.)
  • Redline suggestions for problematic or non-standard language
  • Export analysis to DOCX or PDF with full audit trail
02

Simultaneous Multi-Framework Compliance Check

Check a single document against GDPR, CCPA, HIPAA, SOX, PCI DSS, and 6 more frameworks in one pass. Get clause-level compliance mapping with gap analysis.

  • 11 frameworks checked simultaneously, not one at a time
  • Clause-level mapping showing which text satisfies which requirement
  • Gap analysis with specific recommendations for achieving compliance
  • Every finding traceable to exact document text for audit defense
03

NDA Triage with 10-Criteria Screening

Clear the NDA backlog. Screen each NDA against 10 criteria and get pass/review/reject recommendations in minutes instead of days.

  • Automated screening: scope, duration, carve-outs, remedies, return obligations
  • Risk severity rating per criterion (low / medium / high / critical)
  • Batch processing, triage multiple NDAs in a single session
  • Flag deals that need senior counsel review vs. safe to approve
04

Board-Ready Risk Assessment

Quantified risk scoring across 5 dimensions (legal, regulatory, operational, financial, reputational) with severity and likelihood analysis.

  • Risk identification across legal, regulatory, operational, financial, and reputational dimensions
  • Severity x likelihood scoring for consistent, defensible risk quantification
  • Mitigation recommendations ranked by impact and effort
  • Export board-ready risk reports with consistent formatting across matters
05

Your Data Stays Private, Built for 2026 Procurement

In 2026 the procurement question shifted from "can this make us efficient" to "can this withstand scrutiny if challenged." Vaquill AI is built for the second question: PII anonymized before AI sees it, zero-data-retention with our LLM providers, US data residency, no model training on your content, DPA available on request.

  • PII anonymized before any document reaches an LLM
  • Zero-data-retention agreements with OpenAI and Anthropic
  • US data residency on AWS, AES-256 at rest, TLS 1.3 in transit
  • No training on your data, ever, contractually
  • DPA available; SOC 2 alignment underway; BAA on request for healthcare in-house

How It Works

Get started in minutes, not weeks.

01

Upload Contracts & Policies

Upload agreements, NDAs, policies, or amendments. Supports 15 formats including scanned PDFs with OCR.

02

Select Compliance Frameworks

Choose which of the 11 regulatory frameworks to check against, or run Contract Review or NDA Triage.

03

Review Clause-Level Findings

Get clause-by-clause analysis with every finding verified against the source text. Trace any result back to the exact paragraph.

04

Export for Board & Audit

Export compliance reports, risk scores, and contract analyses to DOCX/PDF for board presentations and audit records.

Questions from Corporate Lawyers

Which compliance frameworks does the simultaneous check support?

Vaquill AI checks against 11 frameworks in a single pass: GDPR, CCPA, HIPAA, SOX, PCI DSS, ISO 27001, NIST, FERPA, COPPA, ADA, and GLBA. You select which frameworks apply and get clause-level findings for each.

How does Vaquill AI compare to GC AI, Harvey, or Spellbook?

GC AI is a $500/seat in-house tool focused on chat and Word integration. Harvey is enterprise-priced with sales-led procurement. Spellbook focuses on contract drafting only. Vaquill AI sits below GC AI on price, includes Document Matrix and full statute research that Spellbook does not have, and is self-serve unlike Harvey. We are the in-house legal AI platform for teams that find GC AI too expensive and Harvey too enterprise.

How does clause detection work for non-standard contract types?

The contract review engine detects 120+ clause types across commercial agreements, employment contracts, IP licenses, and service agreements. For unusual contract types, it still identifies standard clauses and flags non-standard terms, though coverage is strongest for common commercial agreements.

Can we use this for multi-jurisdictional vendor agreements?

Yes. Run the compliance check against multiple frameworks simultaneously to verify that a single agreement satisfies requirements across jurisdictions. The clause-level mapping shows exactly which text satisfies which framework requirement.

How is the risk scoring methodology consistent across different lawyers?

Vaquill AI uses a fixed 5-dimension framework (legal, regulatory, operational, financial, reputational) with standardized severity and likelihood scales. The AI applies the same criteria regardless of who runs the analysis, producing consistent scores that are defensible in board reporting.

Can we batch-process NDAs during a funding round or large deal?

Yes. Upload multiple NDAs and run the 10-criteria triage on each one. The system produces a pass/review/reject recommendation per NDA, so you can prioritize senior review for high-risk agreements and fast-track standard ones.

How much does it cost for a corporate legal team?

Vaquill AI is per-seat and self-serve: transparent per-seat pricing on In-House Counsel, or $500/seat/month on In-House Power for uncapped usage. Built for in-house teams of any size. Every new account gets a 7-day free trial with full feature access and no credit card required. No per-document fees, no long-term contracts, no enterprise procurement gauntlet.

Is our data secure enough for pre-announcement M&A documents?

Yes. PII is anonymized before any document reaches an LLM. Our LLM providers operate under zero-data-retention agreements. Documents are encrypted at rest and in transit, isolated per organization, never used for AI training, and hosted on US infrastructure. DPA available on request, BAA available for healthcare in-house teams.

Clear the Contract Queue, Starting Today

Join the in-house and corporate legal teams using Vaquill AI to triage contracts, track compliance, and answer the business. 7-day free trial, no credit card required.