AI Corporate Transactions, M&A & Investment Due Diligence
AI deals fail diligence when data rights, model provenance, regulatory exposure, and IP ownership are fuzzy. We run AI-focused diligence for buyers, sellers, and investors; structure joint ventures and licensing deals for models and data; and advise on regulatory strategy for formations, cross-border investments, and platform partnerships.
Who this is for
Strategic acquirers, PE/VC investors, AI company founders, and enterprises forming AI joint ventures or licensing foundation models.
What you get
- AI-specific diligence checklists (data rights, IP, safety, regulatory)
- Red-flag and full diligence reports for M&A and financings
- Representation and warranty drafting for AI-specific risks
- Model and data licensing / JV structuring
- Regulatory pre-clearance strategy for cross-border deals
- Post-close integration of AI governance obligations
Frequently asked questions
What should AI diligence cover beyond standard tech diligence?
Training and evaluation data rights, open-source and third-party model licenses, output ownership, safety and bias incidents, regulatory correspondence, compute commitments, key-person model expertise, and pending or threatened claims around copyright or discrimination.
How do AI warranties differ from normal SaaS warranties?
Buyers increasingly ask for statements on data provenance, non-infringement of training data, safety evaluations, and no undisclosed high-risk classifications. Sellers push back with knowledge qualifiers and disclosure schedules. The negotiation is about which AI facts you can actually stand behind.
Do investors need special AI regulatory diligence?
Yes when the target deploys high-risk systems, handles sensitive data, or faces active enforcement risk. We quantify residual regulatory exposure so valuation and indemnity packages reflect reality rather than optimism.