Services / Packages
AI Due Diligence for Acquisitions
An independent review of a target company’s AI systems, data rights, and AI legal exposure before closing.
From $15,000 per transaction3–6 weeks
Public agencies receive quotes structured to fit their procurement rules.
You own everything we produce.
Who this is for
Organizations usually call us about this when:
You’re acquiring a company that builds or relies on AI.
The target uses customer data in AI and you need to know if it was allowed.
Your deal team needs AI findings in time to adjust price or terms.
Overview
When you acquire a company, you inherit its AI: the models it built or licensed, the data used to train them, and its exposure under privacy and AI laws. Financial and general technology due diligence rarely examine these closely. We review the target’s AI systems, data rights, governance, and compliance, and deliver findings you can use to price the deal, negotiate terms, and plan integration.
What’s included
- Inventory of the target’s AI systems, models, and AI vendors
- Review of rights to training data and customer data used in AI
- Ownership of models, prompts, and AI-generated work
- Exposure under privacy laws, state AI laws, and the EU AI Act
- Assessment of AI governance, policies, and incident history
- Findings report with deal recommendations and integration priorities
Available under attorney-client privilege. We can perform this work at the direction of your counsel, so findings may be protected by privilege. Ask us about privileged engagements.
How it works
Review
We analyze data room materials, AI documentation, contracts, and policies.
Investigate
We interview the target’s technical and business leaders and examine key AI systems.
Report
We deliver risk-rated findings, deal recommendations, and integration priorities.
How it works for your organization
The same service, tailored to the obligations and realities of each sector.
Private Sector
Private equity firms and strategic buyers use AI due diligence to find AI risks before they become the buyer’s problem.
- Acquisitions of AI-driven and software companies
- Targets using customer data to train models
- Representations and warranties on AI and data
- Findings that inform price and deal terms
Public Sector
Agencies use AI due diligence when a key vendor is acquired, to understand how new ownership affects agency data.
- Vendor acquisitions affecting agency contracts
- Changes to data handling under new ownership
- AI features introduced by the acquirer
- Recommendations for contract protections
Nonprofits
Nonprofits use AI due diligence before mergers, to understand the partner organization’s AI use and data obligations.
- Nonprofit mergers and affiliations
- Client and donor data used with AI tools
- Funder and grant obligations on data
- A combined plan for AI governance
Frequently asked questions
How much does AI Due Diligence for Acquisitions cost?
AI Due Diligence for Acquisitions starts at $15,000 per transaction. The final price depends on scope, and we confirm it in writing before any work begins.
How long does it take?
Most engagements take 3–6 weeks, depending on scope and how quickly information is available.
What do we receive?
The engagement includes: inventory of the target’s AI systems, models, and AI vendors; review of rights to training data and customer data used in AI; ownership of models, prompts, and AI-generated work; exposure under privacy laws, state AI laws, and the EU AI Act.
Can this be done under attorney-client privilege?
Yes. When your counsel engages us and directs the work for the purpose of giving legal advice, our findings may be protected by privilege. Ask your counsel to contact us and we’ll structure the engagement with them.
What if a deliverable doesn’t meet the agreed scope?
We revise it until it does, at no extra cost. And if we miss an agreed delivery date, we take 10% off that deliverable.
Who owns the deliverables?
You do. Everything we produce for you is yours to keep, use, and share.
Related Guides
- AI Contract Clause Library for Credit UnionsSample contract terms for AI vendors serving credit unions, covering member data, model changes, audits, and incidents.
- AI Vendor Assessment Checklist for Credit UnionsThe questions credit unions should ask AI vendors about member data, security, model fairness, and contract terms before signing.
- AI Regulation Map for Credit UnionsThe federal and state laws that apply when credit unions use AI in lending, fraud detection, member service, and marketing, and what each requires.
Related services
Post-Acquisition AI Governance Integration
Bringing an acquired company’s AI uses under your policies, register, and controls in the months after closing.
AI Risk Review
An independent review of one AI tool, vendor, or use case before you adopt it or expand it.
Privacy Impact Assessment
A focused assessment of the privacy risks in one system or project, including AI systems, with specific safeguards.
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