AI Avatar Due Diligence: Legal Review for Investors and Acquirers

3–5 weeks

Typical engagement

EU · UK · US · Global

Jurisdictions covered

VC · PE · Strategic

Who we work with

Consent chain is the core asset

An avatar platform's primary asset is its library of licensed digital likenesses. If the consent chain is broken — consents that are too broad, too vague, not granular enough, or obtained through dark patterns — the platform doesn't own what it thinks it owns. Standard DD checks IP registrations. Avatar DD checks whether the consents that underpin those rights are actually valid.

The rights model determines what can be monetised

A platform that consented users to "platform use" but has been licensing avatars to brands has been operating outside its consent scope. The B2B revenue is built on rights the platform doesn't have. This is a material valuation risk that only becomes visible when you map what consents were obtained against what the platform has actually been selling.

Regulatory exposure travels with the acquisition

GDPR enforcement risk for historical biometric data processing, liability for deepfakes published through the platform, and non-compliance with EU AI Act disclosure requirements don't disappear at closing. They transfer to the acquirer. An investor who doesn't assess regulatory exposure before signing inherits it unconditionally.

Standard warranties don’t cover avatar-specific liability

Generic tech M&A warranty packages are written for software companies. They cover IP ownership and code compliance — not GDPR enforcement risk for historical biometric data processing, not personality rights claims from users whose avatars were licensed beyond consent scope, not deepfake liability for content published through the platform. An acquirer who relies on standard W&I insurance without avatar-specific warranty language is carrying uncovered exposure from day one.

HIGH SEVERITY · HIGH PROBABILITY

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HIGH SEVERITY · LOWER PROBABILITY

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LOWER SEVERITY · HIGHER PROBABILITY

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LOWER SEVERITY · LOWER PROBABILITY

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ℹ️ High-severity risks in the top-left quadrant typically require conditions precedent or deal price adjustment. Lower-severity risks are addressed through post-closing covenants and remediation plans.

⚠️ Voice replication is a separate DD workstream

A platform may have a clean visual consent chain and an entirely uncovered voice replication programme. Synthetic voice requires separate, explicit consent under GDPR and is independently protected under right of publicity laws in most US states — including under the ELVIS Act in Tennessee and California statute. We audit visual and voice consent separately, and assess whether the platform’s voice replication programme has the legal basis it needs.

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Step 01 · Week 1

Scope and data room

We agree the DD scope with your deal team, issue an avatar-specific document request list, and begin reviewing initial materials. We flag priority gaps early — consent documentation, B2B contracts, and regulatory policies are typically the highest-risk areas.

Step 02 · Weeks 1–3

Consent and IP audit

We map the consent chain from user registration through avatar creation to B2B deployment. We verify the IP rights model against what the platform has actually been licensing. We identify every point where rights were assumed but not properly obtained.

Step 03 · Weeks 2–4

Regulatory and contract review

We assess GDPR and biometric data compliance, EU AI Act disclosure obligations, and applicable deepfake regulations. We review key B2B contracts for liability exposure, use restrictions, and change-of-control provisions.

Step 04 · Weeks 3–5

Report and deal structuring

We deliver the red-flag report and DD memo with risk ratings and deal recommendations — conditions precedent, warranty language, indemnification provisions, and post-closing covenants for the highest-priority remediation items.

Question 1 of 4

Next →

⌛ 3–5 weeks  |  Outcome: investment committee decision with clear risk picture; key risks addressed in deal terms and post-investment plan

Standard technology DD focuses on code ownership, IP registrations, and key person risk. Avatar platform DD adds three layers that standard DD misses: the consent chain audit (whether user consents to digital likeness use are legally valid and cover what the platform has been doing commercially), the rights model assessment (whether the platform actually has the rights it needs to license avatars to B2B clients), and the regulatory compliance review (GDPR biometric data obligations, EU AI Act disclosure requirements, deepfake regulations). These are the areas where avatar platforms most commonly have material legal exposure that affects valuation and deal structure.

A consent chain audit traces the legal basis for every commercial use of a user's digital likeness — from the moment a user first grants consent through avatar creation to B2B deployment. We review the UX flow and consent language at each step, assess whether consents are explicit, granular, and informed (as required by GDPR for biometric data), verify that sub-licensing to B2B clients is within the scope of what users consented to, and check that withdrawal mechanisms are present and functional. Gaps in the consent chain mean the platform is using likenesses it doesn't have valid rights to use.

The most frequent issues are: consent language that covers platform use but not B2B sub-licensing; single checkbox consents for biometric data that don't satisfy GDPR's specificity requirement; no consent withdrawal mechanism or an inadequate one; B2B licenses broader than the underlying user consent; celebrity or public figure avatars without signed licensing agreements; training data with unclear provenance; no abuse and moderation policy for deepfake or impersonation content; and missing EU AI Act disclosure obligations for synthetic media.

Facial images and voice recordings are biometric data under GDPR, which is a special category requiring explicit consent — not just general terms of service acceptance. Explicit consent must be specific (covering the particular processing purpose), freely given, informed (the person understands what they're consenting to), and withdrawable. For avatar platforms, this means a separate, granular consent for each material use of the user's likeness is required — creating the avatar, using it on the platform, licensing it to B2B clients, and storing the underlying biometric data. Platforms that obtained consent through a single checkbox or buried ToS clause are not GDPR-compliant for biometric data processing.

Deal protections depend on the risk profile, but common structures include: conditions precedent requiring remediation of the highest-risk consent and IP issues before closing; specific indemnities for pre-closing GDPR enforcement actions or user claims arising from consent gaps; post-closing covenants requiring the company to update consent flows and B2B contracts within defined timeframes; and enhanced warranties covering the completeness and validity of the consent chain and the scope of B2B licensing rights. For the most material issues — where the platform's commercial model is built on rights it doesn't have — price adjustment or escrow mechanisms may also be appropriate.

For DD purposes, we review the consent framework — the legal documents, UX flows, and policies that govern how consent is obtained — rather than individual user records. This tells us whether valid consent could have been obtained at scale. If the consent framework is inadequate, that applies to all users. We also test the framework against specific scenarios — B2B licensing, withdrawal requests, cross-border use — to identify gaps in coverage. Individual user records are relevant if there are specific claims or disputes that need to be investigated.

Material issues become deal terms. Depending on severity: the highest-risk issues may become conditions precedent — the deal doesn't close until they're remediated; mid-level issues are addressed through specific indemnities (the seller compensates the buyer for losses arising from the pre-closing issue) or post-closing covenants (the company commits to fixing the issue within a defined period); lower-level issues are noted in the disclosure schedule and accepted as known risks. Discovering issues during DD — rather than after closing — is always preferable: it gives both parties the ability to price and structure them appropriately.

Yes. We conduct avatar platform DD across EU, UK, and US targets. The legal frameworks differ — GDPR in the EU, UK GDPR, and state-level biometric and right of publicity laws in the US (Illinois BIPA, California CCPA/right of publicity, New York right of publicity, etc.) — but the core DD questions around consent chain validity, IP rights, and liability are consistent. For multi-jurisdiction platforms, we assess compliance against each applicable framework and deliver a unified report with jurisdiction-specific findings.

Digital Likeness

Consent frameworks and B2B licensing structures for avatar platforms — three-party rights chains, prohibited use definitions, and withdrawal mechanisms.

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Digital Likeness

Structuring digital personas as intellectual property — for creators, celebrities, and brands building long-term identity value.

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AI Law

Legal due diligence for AI investments and acquisitions — IP ownership, training data, EU AI Act readiness, and contract review.

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