- Overview
- Significant Matters
Bowmans is adept at advising clients on the legal, regulatory and strategic implications of artificial intelligence (AI).Â
We provide an end-to-end AI legal offering to support our clients at any stage of their AI journeys.Â
With experience in regulatory, transactional and technology, data protection, IP, competition and employment law, our specialists deliver practical, market aligned legal advice.Â
Our expertise ranges from AI strategy and risk management to governance and policy design through to procurement, contracting, product development, workplace deployment, regulatory engagement, implementation, dispute resolution and ongoing compliance.Â
We advise both organisations that are developing AI enabled products and platforms and those acquiring, implementing or adapting third party and open-source AI tools. Our client base extends to government bodies and non-government organisations.Â
The use of AI raises complex legal considerations, including fundamental rights, consumer protection, employment, vendor and supply chain risks, licensing models, data usage rights, intellectual property (IP), liability, competition and regulatory compliance. At the same time, organisations that develop or commercialise AI functionality face heightened risks around AI governance, training data, model transparency, IP rights, content generation and algorithmic bias.Â
Our strategic insight and actionable legal solutions enable innovation and the ethical implementation of AI while managing reputational, contractual and compliance risks.Â
Specialist Services
- Providing strategic advice to boards and executive teams on responsible AI use and internal accountability structures
- Advising on the implications of the King V Code for AI governance, oversight and deployment
- Drafting and implementing AI governance frameworks and policies, including generative AI use policies, employee guidance, acceptable use rules, procurement standards and high-risk AI review processes
- Advising on responsible AI principles, including transparency, accountability, explainability, accuracy, fairness, non-discrimination, security, safety, privacy and human-centred deployment
- Conducting AI risk and impact assessments and legal audits for both product developers and enterprise users
- Advising clients on the selection, procurement, piloting and implementation of AI tools, including generative AI, agentic AI, workflow automation, contract lifecycle management tools, legal technology platforms and AI-enabled enterprise systems
- Advising on legal, governance and implementation risks arising from AI use in legal, compliance and business workflows
- Advising on the legal consequences of AI-generated outputs including responsibility for human review, reliance, professional standards, hallucinations, record-keeping and escalation to subject-matter experts
- Supporting the localisation and implementation of generative AI procurement resources, public sector AI guides, enterprise AI guides and customer-facing compliance materials for African markets
- Advising on AI-powered business intelligence, customer data analysis, sales insights, heat-mapping, data-driven optimisation and related implementation frameworks
- Drafting, reviewing and negotiating AI-related agreements, including software development agreements, AI-services and cloud services agreements for AI enabled platforms, AI vendor contracts, dataset licences, API terms, pilot arrangements and statements of workÂ
- Reviewing open-source AI model and dataset terms and associated risksÂ
- Preparing AI-specific warranties, indemnities, liability regimes, customer commitments, human review obligations, acceptable use terms and contractual governance control
- Advising on contractual protections and risk allocation for enterprise users of AI tools, including data-use restrictions, confidentiality, security, model training opt-outs, output ownership, regulatory cooperation, AI outputs, model performance, training data, fine-tuning, hallucinations, bias, explainability, cybersecurity, service levels, audit rights, benchmarking, business continuity and termination assistanceÂ
- Advising on contractual frameworks for AI-enabled analytics, customer data analysis, business intelligence, sales optimisation and data-driven decision-making toolsÂ
- Monitoring and advising on emerging AI regulatory developments across Africa, including draft policy, sector-specific guidance, soft-law frameworks and international developments relevant to African businesses
- Advising on public policy engagement, regulatory submissions, policy positioning, stakeholder engagement and participation in AI-related consultations and roundtables
- Sector-specific AI advice across financial services, healthcare, retail, mining, telecommunications, consumer markets, education, public services, platform businesses and online marketplaces
- Advising on AI products and services used by or affecting children, including children’s rights, data protection, online safety, advertising, consumer protection and digital platform risks
- Advising on AI-enabled credit scoring, alternative data analytics, financial inclusion products and related financial regulatory and data protection requirements
- Advising online platforms, marketplaces, e-hailing businesses, booking platforms and other digital intermediaries on the deployment of AI tools in African markets
- Localising global AI products, policies and customer-facing materials for African regulatory environments, including alignment with local privacy, consumer protection, employment, competition, IP and sectoral regulatory requirements
- Advising on public sector procurement, policy and compliance considerations relating to generative AI and AI-enabled technology solutions
- Advising on public law, constitutional, human rights and equality risks arising from AI-assisted decision-making
- Advising on consumer protection and anti-discrimination risks arising from AI use
- Advising on AI-related technology investment, skills development, research and development, enterprise development and broader AI ecosystem initiatives
- Advising on data protection, privacy, cybersecurity and information governance risks arising from AI development, deployment and useÂ
- Advising on ownership and protection of AI-related IP, including AI-generated content, model outputs, software, datasets, prompts and derivative works
- Advising on the copyright implications of AI training, including training data, machine learning processes, cached copies, tokenised or numerically encoded representations and pending copyright reform
- Advising on lawful data use, data sharing, anonymisation, retention, access controls, confidentiality, security, auditability and data leakage
- Advising on AI-driven facial recognition, biometric technologies and identity verification tools, including privacy, consent, lawful processing, security and customer-facing terms
- Advising on deepfakes, synthetic media, voice and image misuse, personality rights, reputational harm and related IP, delictual and content risks
- Advising on AI-enabled behavioural analytics, insider-threat monitoring, data lake processing and the use of sensitive personal information in workplace and cybersecurity contexts
- Managing legal risks related to training data, licensing, content generation, confidentiality and explainability
- Advising on competition law risks arising from AI use, including algorithmic pricing, automated decision-making, market access, discrimination, platform conduct and potential coordination risksÂ
- Advising on cloud computing, hyperscaler conduct, AI infrastructure markets and pricing practices involving large technology providers and smaller market participantsÂ
- Advising on the competition implications of AI-enabled markets, including access to data, compute, cloud infrastructure, proprietary technology and other inputs required to develop or deploy AI systems
- Supporting clients in assessing competition, consumer protection and regulatory risks associated with AI-enabled products, platforms and digital servicesÂ
- Conducting legal due diligence on AI use and exposure in M&A transactionsÂ
- Reviewing data rights, vendor dependencies, IP and regulatory risks in target businessesÂ
- Structuring and negotiating AI-specific warranties and indemnitiesÂ
- Advising on transition planning and post deal AI integrationÂ
- Assessing AI-related value drivers and risk areas in target businesses, including proprietary models, third-party AI dependencies, data assets, training data, model governance, regulatory exposure, open-source use and customer-facing AI functionalityÂ
- Advising on workplace AI risks across recruitment, performance management, workforce planning, employee monitoring, productivity tools, workplace investigations and HR decision-making
- Preparing employee-facing AI policies, generative AI use policies, workplace AI rules, training materials, consultation strategies and human review processes
- Advising on the employment impacts of AI including automation, restructuring, reskilling and organisational change linked to AI adoption
- Advising on AI-enabled monitoring, behavioural analytics and insider threat programmes involving employee and workplace data
- Advising on potential claims or disputes arising from AI decisions, such as customer complaints or regulatory investigations and the mitigation of risks associated therewith
- Developing clear internal and external reporting and dispute resolution mechanisms, including transparent processes for challenging or appealing AI-driven decisions
- Defending and advising on claims involving harm caused by algorithmic decisions or AI generated content
- Advising on AI-related liability, alternative dispute resolution options, data breaches, confidentiality and legal privilege arising from AI use
- Representing clients in IP (including copyright), breach of confidentiality and related disputes involving AI tools and training data
- Managing regulatory investigations and enforcement actions related to the use of AI
- Advising on reputational risk, dispute strategy and regulatory response planning in AI driven contexts
- Conducting internal investigations into AI-related incidents, including data leakage, unauthorised tool use, discriminatory outputs, incorrect automated decisions, customer harm, cybersecurity events and misuse of confidential information
- Advising on litigation readiness for AI systems, including record-keeping, audit trails, explainability, evidentiary issues, privilege, document preservation and expert evidence
- Advising on complaints and redress mechanisms for affected individuals, customers, employees and other stakeholders
- Providing workshops on AI governance implementation, AI contracting, AI risk assessments, legal tech adoption, public policy developments and sector-specific AI riskÂ
- Designing and presenting tailored training for legal, compliance and technical teams on AI legal risksÂ
- Giving board and executive briefings on governance trends, liability frameworks and policy developmentsÂ
- Arranging roundtables and stakeholder sessions on the responsible use of generative AI tools, with a focus on legal, regulatory, governance and commercial considerationsÂ
Recent signature matters include acting for/ advising:
AI strategy, governance and responsible use Â
- The Collaboration on International ICT Policy for East and Southern Africa (CIPESA) on the development of an AI policy for use by non-government organisations taking account of ethical use of AI and data, human rights and international best practices.Â
- Several listed companies on their AI policies, taking the new AI provisions in King Code V into account.Â
- A listed company in the paper and forestry sector on its global AI policy.Â
- A major South African mining company, on the drafting and implementation of a company-wide policy regulating the use of generative AI tools.Â
- Various clients on the risks of using generative AI and recommended contractual, procedural and governance mitigations.Â
- Various stakeholders within the technology sector and legal profession on legal risk management when developing and using AI systems.Â
- A global online marketplace on the liability risks of an AI chatbot.Â
- Various clients on risks of using generative AI and the recommended contractual, procedural and governance mitigations.Â
AI implementation, procurement and legal tech  Â
- A global multinational technology company on various AI-related product roll outs, data issues, IP issues and risk mitigation.Â
- An e-hailing service on the use of AI to provide user-support services in Kenya and the use of AI in seven African jurisdictions.Â
- A global online marketplace on the use of AI in marketing materials in Kenya.Â
- A major South African retailer on the legal aspects of AI-driven data ecosystem projects.Â
- An international retailer on the introduction of a website with AI functionality in South Africa.Â
- On risks and recommendations for the procurement of generative AI by a listed company in the paper and forestry sector.Â
- An international automaker on the South African elements of the worldwide roll out of an AI-powered feature. Â
- A leading listed technology company on the provision of its AI platform and services to a major South African bank for purposes of conducting regulatory compliance (including KYC and funds transfer compliance).Â
AI related contractsÂ
- A leading South African bank on its template AI provisions for both the procurement and provision of AI solutions.Â
- Isazi Consulting, a consulting services provider using machine learning and AI to provide data mapping and insights to clients, on its template non-disclosure agreement.  Â
- Spookfish (now Kenai) on the terms and conditions for use of its AI-driven facial recognition visitor management application.Â
Regulatory, public policy and sectoral advice Â
- A global technology company on various issues arising out of AI regulation in Africa.Â
- Bird & Bird LLP on the topic of ‘Children in the Digital World’. This project was a global comparative review showcasing collective experience and capabilities across a range of areas connected to children as users of digital and online services.Â
- creditAIs on the financial regulatory aspects of its AI insurance produce including input on product development and data protection compliance. CreditAIs uses machine learning to credit score people who do not fit the traditional models, targeting financial inclusion.  Â
Data, cybersecurity, IP and content Â
- The Open Markets Institute on the application of copyright law to generative AI in South Africa.Â
- A global online marketplace on requirements under consumer protection, data protection, IP and copyright, and anti-discrimination laws relating to the use of AI-generated synthetic human images in advertising; legal risks associated with the use of AI tools that generate such images, including risks linked to the datasets used to train the models; and proposed steps to mitigate the risks.Â
- An international online booking platform on the data protection, consumer protection, IP and liability issues arising out of the proposed use of a new AI tool in South Africa.Â
- A global and technology company on the copyright implications, and corresponding legal risks, of conducting AI training workflows in South Africa. Our work included considering the legal implications of machine learning, AI model training, tokenised or numerically encoded representations of copyrighted texts and copies of copyrighted text made in random-access memory or cache during computational processing as the law currently stands and in light of proposed amendments set out in the Copyright Amendment Bill, 2017.Â
- A global technology company’s subsidiary in East Africa on localising resources for its customers, focusing on compliance with applicable data protection and procurement regulations. This work extended to coordinating the localisation of white papers in Egypt.Â
- A multinational mining company on the lawful processing of personal data in the context of a comprehensive insider threat programme involving the deployment of technology solutions and AI enabled behavioural analytics to analyse personal and sensitive personal data ingested in a data lake.Â
CompetitionÂ
- A global technology company on pricing practices of its cloud service vis-à -vis other cloud service providers and smaller cloud service providers. We advised on the South African aspects of the investigation, which is running in parallel to investigations by the EU and the CMA. The future, not only of cloud computing, but other services like AI and the significant investments made/ required will be tested in this case. The question will be whether ‘first mover’ firms can discriminate between so-called hyperscalers with similar capabilities as itself and smaller providers. Â
M&A and transaction support  Â
- A global biotechnology leader, BioNTech SE, on the South African component of its acquisition of additional shares in InstaDeep Ltd, a world-renowned leader in the field of AI and machine learning.Â
- Capgemini S.E. on its acquisition of the entire issued ordinary share capital of WNS Holdings Ltd (WNS) for USD 3.3 billion pursuant to a scheme of arrangement. WNS combines deep domain expertise with talent, technology, and AI to co-create innovative solutions for over 600 clients across various industries.Â
- TransUnion Africa (Pty) Ltd, a global consumer credit reporting agency, on the acquisition of a minority stake in Omnisient, a South Africa-founded fintech operating internationally that offers a privacy-preserving data collaboration and advanced analytics platform that enables secure, regulatory-compliant sharing and analysis of high-value consumer data using advanced cryptography and AI. Â
- A leading South African bank on its arrangements with an impact investment fund to establish and operate a SPV through which a behavioural banking enabling platform will be developed, maintained, hosted, operated and made available to third parties.Â
- A global technology company on its third equity equivalent investment programme with the South African Department of Trade, Industry and Competition. This programme is a ZAR 1.32 billion, 10-year investment aimed at developing black-owned small, micro, and medium enterprises in both tech and non-tech sectors. Â
AI-related litigation and dispute resolution Â
- The Nelson Mandela Foundation on recourse for third parties’ unauthorised use of AI-generated Nelson Mandela deepfakes.Â
Training and capability buildingÂ
- As partner to a global technology company, in holding multi stakeholder roundtables on responsible AI use.Â
- Various stakeholders across the legal and tech sectors, delivering training and giving presentations on managing AI legal risk.Â
Specialist Services
- Providing strategic advice to boards and executive teams on responsible AI use and internal accountability structures
- Advising on the implications of the King V Code for AI governance, oversight and deployment
- Drafting and implementing AI governance frameworks and policies, including generative AI use policies, employee guidance, acceptable use rules, procurement standards and high-risk AI review processes
- Advising on responsible AI principles, including transparency, accountability, explainability, accuracy, fairness, non-discrimination, security, safety, privacy and human-centred deployment
- Conducting AI risk and impact assessments and legal audits for both product developers and enterprise users
- Advising clients on the selection, procurement, piloting and implementation of AI tools, including generative AI, agentic AI, workflow automation, contract lifecycle management tools, legal technology platforms and AI-enabled enterprise systems
- Advising on legal, governance and implementation risks arising from AI use in legal, compliance and business workflows
- Advising on the legal consequences of AI-generated outputs including responsibility for human review, reliance, professional standards, hallucinations, record-keeping and escalation to subject-matter experts
- Supporting the localisation and implementation of generative AI procurement resources, public sector AI guides, enterprise AI guides and customer-facing compliance materials for African markets
- Advising on AI-powered business intelligence, customer data analysis, sales insights, heat-mapping, data-driven optimisation and related implementation frameworks
- Drafting, reviewing and negotiating AI-related agreements, including software development agreements, AI-services and cloud services agreements for AI enabled platforms, AI vendor contracts, dataset licences, API terms, pilot arrangements and statements of workÂ
- Reviewing open-source AI model and dataset terms and associated risksÂ
- Preparing AI-specific warranties, indemnities, liability regimes, customer commitments, human review obligations, acceptable use terms and contractual governance control
- Advising on contractual protections and risk allocation for enterprise users of AI tools, including data-use restrictions, confidentiality, security, model training opt-outs, output ownership, regulatory cooperation, AI outputs, model performance, training data, fine-tuning, hallucinations, bias, explainability, cybersecurity, service levels, audit rights, benchmarking, business continuity and termination assistanceÂ
- Advising on contractual frameworks for AI-enabled analytics, customer data analysis, business intelligence, sales optimisation and data-driven decision-making toolsÂ
- Monitoring and advising on emerging AI regulatory developments across Africa, including draft policy, sector-specific guidance, soft-law frameworks and international developments relevant to African businesses
- Advising on public policy engagement, regulatory submissions, policy positioning, stakeholder engagement and participation in AI-related consultations and roundtables
- Sector-specific AI advice across financial services, healthcare, retail, mining, telecommunications, consumer markets, education, public services, platform businesses and online marketplaces
- Advising on AI products and services used by or affecting children, including children’s rights, data protection, online safety, advertising, consumer protection and digital platform risks
- Advising on AI-enabled credit scoring, alternative data analytics, financial inclusion products and related financial regulatory and data protection requirements
- Advising online platforms, marketplaces, e-hailing businesses, booking platforms and other digital intermediaries on the deployment of AI tools in African markets
- Localising global AI products, policies and customer-facing materials for African regulatory environments, including alignment with local privacy, consumer protection, employment, competition, IP and sectoral regulatory requirements
- Advising on public sector procurement, policy and compliance considerations relating to generative AI and AI-enabled technology solutions
- Advising on public law, constitutional, human rights and equality risks arising from AI-assisted decision-making
- Advising on consumer protection and anti-discrimination risks arising from AI use
- Advising on AI-related technology investment, skills development, research and development, enterprise development and broader AI ecosystem initiatives
- Advising on data protection, privacy, cybersecurity and information governance risks arising from AI development, deployment and useÂ
- Advising on ownership and protection of AI-related IP, including AI-generated content, model outputs, software, datasets, prompts and derivative works
- Advising on the copyright implications of AI training, including training data, machine learning processes, cached copies, tokenised or numerically encoded representations and pending copyright reform
- Advising on lawful data use, data sharing, anonymisation, retention, access controls, confidentiality, security, auditability and data leakage
- Advising on AI-driven facial recognition, biometric technologies and identity verification tools, including privacy, consent, lawful processing, security and customer-facing terms
- Advising on deepfakes, synthetic media, voice and image misuse, personality rights, reputational harm and related IP, delictual and content risks
- Advising on AI-enabled behavioural analytics, insider-threat monitoring, data lake processing and the use of sensitive personal information in workplace and cybersecurity contexts
- Managing legal risks related to training data, licensing, content generation, confidentiality and explainability
- Advising on competition law risks arising from AI use, including algorithmic pricing, automated decision-making, market access, discrimination, platform conduct and potential coordination risksÂ
- Advising on cloud computing, hyperscaler conduct, AI infrastructure markets and pricing practices involving large technology providers and smaller market participantsÂ
- Advising on the competition implications of AI-enabled markets, including access to data, compute, cloud infrastructure, proprietary technology and other inputs required to develop or deploy AI systems
- Supporting clients in assessing competition, consumer protection and regulatory risks associated with AI-enabled products, platforms and digital servicesÂ
- Conducting legal due diligence on AI use and exposure in M&A transactionsÂ
- Reviewing data rights, vendor dependencies, IP and regulatory risks in target businessesÂ
- Structuring and negotiating AI-specific warranties and indemnitiesÂ
- Advising on transition planning and post deal AI integrationÂ
- Assessing AI-related value drivers and risk areas in target businesses, including proprietary models, third-party AI dependencies, data assets, training data, model governance, regulatory exposure, open-source use and customer-facing AI functionalityÂ
- Advising on workplace AI risks across recruitment, performance management, workforce planning, employee monitoring, productivity tools, workplace investigations and HR decision-making
- Preparing employee-facing AI policies, generative AI use policies, workplace AI rules, training materials, consultation strategies and human review processes
- Advising on the employment impacts of AI including automation, restructuring, reskilling and organisational change linked to AI adoption
- Advising on AI-enabled monitoring, behavioural analytics and insider threat programmes involving employee and workplace data
- Advising on potential claims or disputes arising from AI decisions, such as customer complaints or regulatory investigations and the mitigation of risks associated therewith
- Developing clear internal and external reporting and dispute resolution mechanisms, including transparent processes for challenging or appealing AI-driven decisions
- Defending and advising on claims involving harm caused by algorithmic decisions or AI generated content
- Advising on AI-related liability, alternative dispute resolution options, data breaches, confidentiality and legal privilege arising from AI use
- Representing clients in IP (including copyright), breach of confidentiality and related disputes involving AI tools and training data
- Managing regulatory investigations and enforcement actions related to the use of AI
- Advising on reputational risk, dispute strategy and regulatory response planning in AI driven contexts
- Conducting internal investigations into AI-related incidents, including data leakage, unauthorised tool use, discriminatory outputs, incorrect automated decisions, customer harm, cybersecurity events and misuse of confidential information
- Advising on litigation readiness for AI systems, including record-keeping, audit trails, explainability, evidentiary issues, privilege, document preservation and expert evidence
- Advising on complaints and redress mechanisms for affected individuals, customers, employees and other stakeholders
- Providing workshops on AI governance implementation, AI contracting, AI risk assessments, legal tech adoption, public policy developments and sector-specific AI riskÂ
- Designing and presenting tailored training for legal, compliance and technical teams on AI legal risksÂ
- Giving board and executive briefings on governance trends, liability frameworks and policy developmentsÂ
- Arranging roundtables and stakeholder sessions on the responsible use of generative AI tools, with a focus on legal, regulatory, governance and commercial considerationsÂ
Related Expertise
Chambers
Bowmans stands out for its knowledge of emerging technologies, its familiarity with our products and regulatory viewpoints, its ability to act quickly and its friendly, engaging team.
Bowmans consistently provides sound advice to complex matters. It is equipped with a number of expert lawyers who are always available when needed.
Legal 500
Great people at Bowmans – polite and respectful, thorough, innovative advise – ahead of the curve. Always up to date with dynamic local legal context.
Key Contacts
Ariana Issaias
Director
Heather Irvine
Partner
John Syekei
Head of IP and Technology and Partner
Robby Coelho
Partner




