In recent years, synthetic voices and digital avatars—collectively referred to as ‘digital humans’—have moved from the realm of science fiction into practical, business-focused applications. Companies are deploying these AI-enhanced tools for customer service, internal training, marketing, and other operational efficiencies. For General Counsels (GCs), this emerging frontier presents both opportunity and risk. As with any technological innovation adopted by the business, GCs play a pivotal role in overseeing the legal, ethical, and regulatory dimensions of using synthetic digital humans. It is critical that legal leaders approach this not just as a compliance task, but as part of broader strategic risk management and policy design.
Before giving the green light to engagements involving synthetic voice or avatars, GCs must consider a web of complex factors—legal IP ownership, privacy obligations, contractual safeguards, regulatory frameworks, and reputational implications. What follows is an exploration of the key considerations that should guide GCs and their legal teams as they navigate this evolving space.
Intellectual Property and Licensing Rights
A key element when working with digital humans is understanding intellectual property ownership and associated licensing constructs. Whether a synthetic voice is created from a sample of a human voice actor or generated entirely from open-source models, the rights and permissions around the content must be well-defined.
If the voice or avatar is based on an actual person—such as a celebrity, employee or public figure—use rights, likeness rights, and performance rights require careful negotiation and documentation. Even if the voice model is generated through AI without direct human sampling, it may still come with IP rights from the technology provider or other creative contributors, such as scriptwriters or designers.
A GC must ensure that contracts with vendors specify who owns the output and who has the right to modify, commercialise, or distribute the content. Important questions include:
– Is the client receiving a licence or full ownership of the generated voice or avatar?
– Are there restrictions on how or where the avatar can be used?
– What happens if the vendor goes out of business or the technology becomes obsolete?
Further, where client content is used to train generative AI models, clear stipulations should be in place about how that data will be used—such as whether it will be incorporated into general AI model training or held confidentially. GCs must ensure the company avoids inadvertently contributing to third-party IP, especially if doing so could benefit competitors in the future.
Privacy and Data Protection
The use of AI-generated avatars and synthetic voice often involves processing personal data, particularly if the output is derived from real individuals or if the interactions involve customers or employees. This puts data protection firmly in the spotlight.
From a UK and EU perspective, this technology must comply with GDPR and any local data protection regulations. The use of biometric data, such as voiceprints or facial maps, is considered a special category of personal data. If the AI avatar involves processing such data, it must be justified under appropriate legal bases, and often requires explicit consent from data subjects.
Legal questions around privacy include:
– Have appropriate consents been obtained for using biometric identifiers?
– Is there a DPIA (Data Protection Impact Assessment) completed for digital human uses, especially those involving identifiable individuals?
– Are data minimisation principles being followed—is more data being collected than necessary?
– How long is the data stored and where?
– Is the system designed with privacy by design and default?
Furthermore, GCs should ensure there is proper transparency in how these tools are used. If a consumer is interacting with a synthetic avatar or voice, that must be disclosed clearly to avoid deception. In some jurisdictions, failure to disclose that a customer is interacting with an AI rather than a person may constitute misleading conduct.
Representation and Ethical Considerations
Synthetic avatars and voices also prompt deep ethical and reputational questions. Companies must be cautious about the risk of digital misrepresentation or manipulation. Consider scenarios where an avatar represents a human that no longer works for the company, or synthetically mimics a deceased person. Without appropriate guidelines, such use could damage public trust.
A GC should work with communication, HR, and compliance teams to formulate clear policies around:
– Who can be represented synthetically?
– For what purposes is synthetic representation appropriate?
– How is consent handled for employees or partners whose likeness may be used?
– Are there protocols for revoking representation if consent is withdrawn or employment relationships end?
Additionally, issues of diversity and inclusion should not be overlooked. Using digital avatars that reinforce stereotypes or exclude underrepresented groups could draw backlash and reflect poorly on the brand. The creation of avatars and voice models must be inclusive by design, avoiding biases in tone, appearance, gender, accent, or racial depictions. For instance, a disproportionate use of standard English accents or Western-centric aesthetic choices can alienate global users and impact brand equity.
Contractual Safeguards and Vendor Risk
Engaging vendors or platforms that provide digital human technology involves more than typical outsourcing considerations. Given the novelty of the field, many vendors are start-ups or fast-scaling firms that may lack mature security frameworks, documentation, or even fully formed policies around responsible AI.
GCs should scrutinise agreements for sufficient warranties, indemnities, audit rights, and liability caps—particularly around data misuse, IP infringement, or failure to meet performance or accessibility standards.
Specifically, contracts should address:
– Availability: Are there Service Level Agreements (SLAs) describing avatar uptime, responsiveness, and latency?
– Security: Is the vendor ISO 27001 certified or compliant with relevant cybersecurity standards?
– Termination: What happens to stored data on service termination? Is there a guaranteed data deletion process?
– AI Governance: What data did the AI model train on—were there potential copyright violations? Are there records of its development pipeline?
– Escrow or Continuity: If the vendor ceases operation, can the client retain access to critical AI assets or output files?
There must also be clear understanding around software usage metrics. With some vendors adopting consumption or seat-based billing, GCs should ensure the legal team has visibility into licences purchased, usage limits, and cost control mechanisms. These factors are especially salient if legal advice is provided via synthetic avatars, which could create further professional responsibility implications for miscommunication or errors.
Regulatory Frameworks and Legal Landscape
The regulatory landscape regarding synthetic voice and avatars is fluid and varies by jurisdiction. While the UK is adopting a relatively innovation-friendly stance on AI regulation, jurisdictions such as the EU are pursuing more granular controls—particularly around transparency, rights of redress, and prohibitions on high-risk AI use cases.
The EU AI Act, for instance, is expected to impose strict obligations for providers and users of AI systems, especially those that simulate human behaviour. Although the UK’s approach is less prescriptive, existing consumer protection and data law still apply, and sector-specific regulators may issue guidance. In financial services, for example, using synthetic avatars in client interactions may trigger deeper FCA scrutiny regarding fair treatment and non-deception.
As countries develop AI-specific frameworks, GCs must remain adaptable, tracking:
– Upcoming obligations under the EU AI Act and UK regulatory positions
– Jurisdictional limitations or extra-territorial reach of AI obligations
– Legislative bans on deepfake technologies or impersonation tools
– Sectoral governance codes from advertising, media, health, or telecoms regulators
In some contexts, the law may not yet be fully formed—but the absence of regulation is not an invitation to proceed unchecked. GCs should position the organisation to exceed minimum compliance and use current best practices from AI governance, ethical tech and responsible innovation principles.
Stakeholder Management and Employee Relations
Rolling out synthetic avatars internally may raise concerns within the workforce. Employees may worry about job displacement, surveillance, or unauthorised use of their likeness. Therefore, establishing a dialogue with internal stakeholders—including HR, operations, IT and the employee representative bodies—will be crucial.
GCs should guide leadership to:
– Communicate the purpose of synthetic human use clearly
– Assure staff of how their data or likeness will or won’t be used
– Offer opt-in schemes for voluntary participation in avatar programmes
– Address potential conflicts with employment contracts or codes of conduct
– Consider trade union or collective bargaining angles, particularly where new tools are introduced without consultation
In the same vein, employee training materials and internal governance documentation should reflect how the digital human technologies fit into the broader ethical and operational standards of the company. It is better to anticipate concerns and build proactively, rather than wait for headlines to bring the issue to the boardroom.
Litigation and Liability Considerations
The novelty of synthetic voice and avatars inevitably means that disputes involving their use may not have settled case law to guide interpretation. However, GCs should anticipate possible areas of contention and ensure the company’s exposure to liability is minimal.
Potential litigation risks include:
– Claims of unauthorised use of voice or likeness
– Consumer claims if synthetic agents misstate facts or create confusion
– Accessibility claims, if digital human interfaces exclude disabled users
– IP infringement claims where output mimics protected material too closely
As a risk control measure, implementing disclaimers, terms of use, notice provisions, and complaints procedures can help mitigate claims. Organisations should also review insurance policies to see whether emerging technology risks are covered—including media liability, professional indemnity, and cyber insurance.
Futuresensitive developments, such as an AI avatar being used maliciously or modified externally to spread misinformation, could prompt tort claims or data breach incidents. The scope of responsibility should be clearly delineated in process documentation and supported by adequate monitoring mechanisms.
Reputation Management and Brand Integrity
Finally, for many companies, the use of synthetic individuals touches the company’s external reputation and consumer trust. Unlike APIs or cloud storage, digital humans are visible, consumer-facing, and emotionally resonant technologies. They can become part of a brand narrative—for better or worse.
GCs should urge corporate communicators and marketing teams to fully vet the storytelling and persona construction involved in any synthetic deployment. Avatars with overly enthusiastic personas, stereotypical voices, or exaggerated mannerisms risk alienating customers. Conversely, hyperrealistic avatars that mislead users by pretending to be human raise ethical red flags.
Crisis communications protocols should be updated to account for scenarios involving AI-generated controversy, including faked messages or imitation avatars. Pre-defined strategies for content takedown, rapid apology, and platform coordination can significantly dampen brand damage in such cases. Legal must also support external messaging around how synthetic voice and avatars are governed—transparency can be reassuring to customers.
Making Use of Guidelines and Best Practices
There is a growing ecosystem of best practice frameworks for AI and digital ethics, from organisations like the OECD, the Alan Turing Institute, or the AI Now Institute. GCs would do well to benchmark digital human strategies against these external standards to build principled, defensible positions.
Moreover, articulating an internal AI code-of-conduct—even in the absence of legal obligation—can set a cultural tone and demonstrate leadership. Topics may include non-deception, transparency, fairness, technical robustness, and human-centred design.
Conclusion
Integrating synthetic voice and avatars is a promising step forward for many businesses, offering efficiency gains, new ways to engage audiences and competitive differentiation. Yet, the legal and ethical implications are substantial. As stewards of legal risk, General Counsels must approach the adoption of these technologies with a multidimensional lens—considering not just contracts and compliance, but also ethics, employee trust, brand equity and long-term reputation.
Digital humans are not just another tool—they simulate human experience. As such, how companies deploy them reflects broader judgements about empathy, fairness, and the relationship between human beings and machines. A proactive, thoughtful strategy led by the legal function can be the difference between driving strategic value and inviting future crisis. For legal leaders, this is both an exciting opportunity for innovation and a profound moment of responsibility.