80 contracts in the data room. Every change-of-control clause flagged by lunch.
Upload the entire data room. Vaquill AI reads across all 80 contracts to flag change-of-control provisions, assignment restrictions, indemnification caps, and non-competes with inline citations to the exact clause in each PDF. Then run compliance checks, research Delaware law, and draft with every claim verified.
The pain points AI actually solves in corporate law.
Not hypothetical. These are the bottlenecks corporate law lawyers hit every week.
Due diligence without the BigLaw headcount
A typical small M&A data room contains 80 to 200 documents: contracts, leases, IP assignments, employment agreements, litigation records, tax returns, and corporate minutes. BigLaw assigns 5 to 10 associates in parallel. A solo does it alone or with one paralegal. Missing a change-of-control clause that triggers consent requirements is malpractice territory.
Contract review fatigue on the third agreement of the day
Clause-by-clause review of 40 to 60 page agreements causes cognitive fatigue. Error rates increase significantly after sustained attention tasks exceeding 45 minutes. A solo reviewing their third long-form MSA of the day will miss things that a fresh pair of eyes would catch.
Multi-state compliance is a moving target
A single client operating in 5 states faces different LLC requirements, different employment law obligations (California bans non-competes entirely; Florida enforces them), different data privacy regimes (13+ states now have comprehensive privacy laws), and different consumer protection rules. The patchwork expands every legislative session.
Regulatory change velocity overwhelms solos
The FTC non-compete rule (issued April 2024, currently stayed after Ryan LLC v. FTC), SEC crypto enforcement posture, state AI regulation bills (40+ states introduced AI bills in 2025 to 2026), and expanding CFIUS scrutiny of foreign investment in technology sectors. Solos lack dedicated research teams to track all of it.
Small M&A cannot support BigLaw fees
BigLaw due diligence on a $5M asset purchase runs $50K to $150K in legal fees. The deal cannot support that. The solo must deliver equivalent thoroughness at a fraction of the cost, or accept risk. This is the core market failure that AI tools address.
In-house deal volume on a flat budget
Lean corporate legal teams handle inbound vendor diligence, bolt-on acquisitions, equity rounds, and internal restructurings without doubling the team. Routing every data room to outside counsel is not affordable, and routing none of it is not defensible. The department needs to do the first pass in-house and reserve the firm for genuinely complex deal points.
No single tool covers the full transactional workflow
Spellbook does contract drafting in Word. LegalOn does contract review. Ironclad does CLM workflows. LinkSquares does post-execution analytics. None combines data room analysis, legal research, contract review, and compliance checking. A solo would need 3 to 4 separate subscriptions.
Your corporate law workflow, with AI at every step.
Entity formation and structuring
Choose between LLC, C-Corp, S-Corp, LP, or benefit corporation based on tax treatment, liability shielding, and investor expectations. Track state-specific formation requirements, annual report deadlines, registered agent obligations, and franchise taxes.
AI research: state formation requirements and tax implicationsContract drafting and review
Draft and review MSAs, SOWs, licensing agreements, supply agreements, SaaS agreements, and NDAs. Contract review consumes roughly 50% of transactional lawyer time. Identify non-standard terms, missing clauses, and risk concentrations.
Skills: Contract Review + NDA Triage + Risk Assessment with clause-level citationsM&A due diligence
Review 80 to 200 documents in the data room: contracts, leases, IP assignments, employment agreements, litigation records. Flag change-of-control provisions, assignment restrictions, consent requirements, indemnification caps, and non-competes.
upload the data room, ask questions across all documents at onceCorporate governance
Draft board resolutions, unanimous written consents, meeting minutes, bylaws amendments, and operating agreement amendments. Advise on fiduciary duties (care, loyalty, good faith) and document the decision-making process.
AI drafting with jurisdiction-aware governance languageRegulatory compliance
Check client policies and practices against applicable frameworks: CCPA/CPRA, GDPR, HIPAA, state privacy laws, FTC rules, franchise disclosure requirements, and industry-specific regulations.
Compliance Check across 11 frameworks simultaneouslySecurities work
Advise on Reg D 506(b) vs 506(c) private placements, Reg CF crowdfunding, SAFEs and convertible notes. Draft PPMs, subscription agreements, and blue sky filings. Track evolving accredited investor definitions.
AI research: SEC rules, no-action letters, and exemption requirementsIP and employment agreements
Draft and review non-competes (enforceability varies by state, California bans entirely), non-solicitation agreements, invention assignment clauses, and trade secret protection programs.
Contract Review: flag non-standard restrictive covenants and state-specific enforceability issuesWhat you can do with Vaquill AI today.
Specific corporate law workflows, not generic AI promises.
Data room review in an afternoon
Upload 80 contracts from the seller's data room. Ask: "Flag every change-of-control provision, assignment restriction, consent requirement, indemnification cap, and non-compete across all uploaded documents." Vaquill AI returns a structured summary with inline citations to the specific clause in each PDF, with highlighting on the exact language. Export the summary as your due diligence memo.
Contract review with risk scoring
Run a 50-page MSA through Contract Review and Risk Assessment. Vaquill AI identifies non-standard indemnification language, missing limitation of liability caps, one-sided termination provisions, problematic IP assignment clauses, and audit rights gaps. Then run NDA Triage on the associated confidentiality agreement to flag overbroad definitions or survival periods exceeding market standard.
Delaware fiduciary duty research via citation graph
Research how the Delaware Court of Chancery has applied the business judgment rule to conflicted board decisions involving controlling stockholders. Vaquill AI returns answers with inline citations to Court of Chancery opinions. Use the citation graph to trace the line of authority from Kahn v. M&F Worldwide (88 A.3d 635, Del. 2014) through recent applications.
Multi-framework compliance check
Upload a client's privacy policy and run Compliance Check against CCPA, GDPR, and applicable state privacy frameworks simultaneously. Vaquill AI identifies gaps: missing "Do Not Sell" opt-out language for CCPA, inadequate data subject access request procedures for GDPR, or missing data protection officer designation. Output is a framework-by-framework compliance matrix.
Securities exemption research
Compare Reg D 506(b) and 506(c) requirements for a specific fundraise. Vaquill AI returns a structured comparison with citations to SEC rules and recent no-action letters. Upload the client's SAFE template for Contract Review to flag terms that deviate from current market standard. Cross-conversation memory recalls the prior round's structure when the client returns for Series A.
Built for the law you actually practice.
Vaquill AI understands these corporate law concepts when you research, draft, and verify.
Business judgment rule
Presumption that directors acted on an informed basis, in good faith, and in the honest belief the action was in the company's best interest. Aronson v. Lewis (473 A.2d 805, Del. 1984). Fiduciary duties: care, loyalty, good faith (Stone v. Ritter, 911 A.2d 362, Del. 2006).
Piercing the corporate veil
Factors vary by state: undercapitalization, commingling of funds, failure to observe corporate formalities, use as alter ego. Walkovszky v. Carlton (18 N.Y.2d 414, 1966). Advising clients on maintaining the corporate shield requires ongoing governance work.
Delaware law dominance
Over 66% of Fortune 500 companies are incorporated in Delaware. The Court of Chancery provides specialized business law adjudication without juries. The DGCL is the most developed and predictable corporate statute in the US.
UCC Article 2
Governs sale of goods. Battle of the forms (Section 2-207), implied warranties (Sections 2-314, 2-315), and statute of frauds (Section 2-201) are daily considerations for supply and distribution agreements.
Securities Act exemptions (Reg D)
506(b): no general solicitation, up to 35 non-accredited investors. 506(c): general solicitation permitted, all investors must be verified accredited. The accredited investor definition was updated in 2020 to add knowledge-based qualifications.
FTC non-compete rule
Issued April 2024, immediately challenged. Nationwide stay issued in Ryan LLC v. FTC (N.D. Tex.). Enforceability remains contested at the circuit level. Meanwhile, California bans non-competes entirely (B&P Code 16600), and other states are restricting them.
CFIUS (foreign investment review)
Reviews transactions giving foreign persons control of US businesses in critical technology, critical infrastructure, and sensitive personal data sectors. Mandatory filing requirements expanded under FIRRMA (2018).
Data privacy patchwork
CCPA/CPRA in California plus comprehensive privacy laws in 13+ states. No federal omnibus privacy law. Corporate lawyers advising multi-state clients must navigate all applicable regimes simultaneously.
SAFE agreements
Simple Agreement for Future Equity, originated by Y Combinator. Standard early-stage instrument alongside convertible notes. Terms (valuation cap, discount, MFN) vary and require careful review against current market standard.
How the corporate law AI landscape looks today.
An honest look at who else serves corporate law lawyers with AI, and where Vaquill AI fits.
Spellbook
Microsoft Word add-in for contract drafting. Suggests clauses, flags unusual terms, generates first drafts. Reported at $400 to $600/month per user. Word-only, no web app, no legal research, no multi-document analysis. A drafting copilot, not a research or review platform.
LegalOn
AI contract review focused on risk identification, missing clauses, and market-standard deviations. Trained on lawyer-reviewed contracts. Contract review only: no research, no multi-document data room analysis, no compliance checking. Pricing not publicly listed, reported as enterprise-tier.
Ironclad
Contract lifecycle management (CLM) platform. Workflow automation for creation, approval routing, execution, and storage. Built for legal departments with high contract volume, not solos doing bespoke transactional work. Enterprise pricing (reported $50K+/year).
LinkSquares
AI-powered contract analytics. Scans executed contracts to extract key terms, obligations, and renewal dates. Portfolio-level contract intelligence, not pre-signing review or drafting. Enterprise pricing. No legal research component.
Vaquill AI (where we fit)
The only platform combining data-room-scale document chat (thousands of documents at once), legal research with verifiable citations, contract review with risk scoring (Contract Review + NDA Triage + Risk Assessment Skills), and multi-framework compliance checking. All in one subscription with transparent per-seat pricing. No per-document fees.
Corporate Law lawyers ask us
Can Vaquill AI actually review 80 contracts from a data room at once?
Yes. Upload thousands of documents per matter. Our ingestion pipeline processes approximately 1,300 pages in 3 minutes. Once ingested, ask questions across all documents simultaneously: "Which contracts have change-of-control provisions?" or "Flag all indemnification caps below $1M." Every answer cites the specific clause in the specific document with PDF highlighting.
How does this compare to Spellbook for contract work?
Spellbook is a Word add-in focused on drafting one contract at a time ($400 to $600/month). Vaquill AI does contract review and drafting plus legal research with case citations, multi-document data room analysis, compliance checking across 11 frameworks, and citation graphs. Different tool, different workflow. Some lawyers use both.
Can I run compliance checks against CCPA, GDPR, and state privacy laws?
Yes. The Compliance Check skill checks against 11 regulatory frameworks simultaneously. Upload a privacy policy, terms of service, or data processing agreement and get a framework-by-framework gap analysis with specific deficiency citations.
Does Vaquill AI cover Delaware corporate law specifically?
Yes. Our case law search covers Court of Chancery and Delaware Supreme Court opinions. The citation graph lets you trace fiduciary duty doctrine from Aronson through recent applications. Delaware law is where most of our corporate law users spend their research time.
Can I research securities exemptions like Reg D?
Yes. Search for SEC rules, no-action letters, and exemption requirements. Vaquill AI returns answers with inline citations to source documents. Upload a SAFE or convertible note template for Contract Review to flag terms that deviate from current market standard.
Is my client data secure? Deal documents are highly confidential.
AES-256 encryption at rest, TLS 1.3 in transit, US data residency on AWS, full tenant isolation, and a contractual commitment to never train models on your data. Aligned with SOC 2 controls. See /security for the complete posture.
Due diligence in an afternoon. Compliance in minutes.
Upload the data room, flag every critical clause across 80 contracts, run compliance checks against 11 frameworks, and research Delaware law with a citation graph. Every claim verified, all in one platform.
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