AI & Emerging Tech Compliance

We help you build AI systems that are compliant with local and international standards while aligning with evolving ethical and regulatory expectations.

• Mapping legal and regulatory frameworks for AI usage in locally, regionally and globally.
• Advising on compliance with the local and regional legislations, the EU AI Act, and global regulatory trends.
• Drafting AI governance frameworks and internal AI policies.
• AI-specific risk assessments, algorithmic accountability structures, and bias mitigation strategies.
• Legal review of automated decision-making systems (ADM), profiling, and recommender systems in every sector including HRM and public service provision.
• Ensuring human-in-the-loop oversight and explainability standards.
• Regulatory engagement and sandbox participation for AI solutions.
• Due diligence for AI tech innovations.
• Compliance strategy for AI in sensitive sectors (health, finance, public services, employment).

We help you identify and classify your AI systems based on regulatory risk tiers—ensuring you meet the obligations tied to their risk level.

• Mapping your AI systems against local and international classification standards (e.g., EU AI Act risk tiers: minimal, limited, high, prohibited).
• Advisory on system categorization (general-purpose, high-risk, safety-critical).
• Preparing and documenting risk assessments and impact evaluations.
• Supporting regulatory disclosures and documentation requirements.
• Structuring operational controls based on risk class.
• Legal review of model outputs, functionality, and user risk exposure.
• Ongoing compliance support as your system evolves in scope or use.

We offer legal guidance to help you structure and deploy emerging tech products—from robotics and drones to IoT and immersive tech—in line with risk, rights, and regulation.

• Structuring legally compliant use cases for IoT devices, digital twins, VR/AR platforms, and wearables.
• Legal risk mapping for edge computing, smart contracts, and autonomous systems.
• Advising on liability, intellectual property, and consumer protection issues in product design.
• Legal audits of existing and new technology stacks for regulatory gaps.
• Structuring pilot programs and PoCs for new tech (e.g. drones, remote sensing tools, robotics).
• Developing internal policies for safe, responsible innovation.
• Legal due diligence and documentation for launching high-risk tech.
• Ensuring compliance with cybersecurity and safety standards.

We guide you through the legal landscape of data usage in AI model development—balancing innovation with privacy, IP, and ethical concerns.

• Advisory on lawful data sourcing for AI training (open data, scraping, licensing).
• Drafting data use agreements, data-sharing MOUs, and consent frameworks.
• Ensuring fairness and transparency in dataset creation and usage.
• Addressing IP ownership of training datasets, outputs, and derivative works.
• Managing risks tied to model drift, hallucination, and unintended outputs.
• Support with AI model explainability, accountability, and human oversight.
• Legal strategy for foundation model usage and fine-tuning of LLMs.
• Data protection compliance for sensitive or biometric data usage in models.

We help you manage and mitigate liability risks tied to AI-driven decisions—and defend your business in the event of disputes or regulatory claims.

• Legal advisory on product liability and harm from AI outputs.
• Structuring contracts to allocate liability in AI value chains (developers, vendors, users).
• Drafting disclaimers, risk warnings, and terms of use for AI tools.
• Representation in regulatory investigations, lawsuits, or consumer claims.
• Risk mitigation for autonomous systems and AI in high-risk environments.
• Legal defense against discrimination, defamation, and IP misuse claims.
• Crisis response for reputational or operational fallout linked to AI usage.
• Cross-border dispute support for AI-based services and platforms.

We help you safeguard the intellectual property embedded in your AI and frontier tech projects—from code and models to datasets and inventions.

• Advisory on IP protection strategies for AI models, algorithms, and training data.
• Drafting and filing patent, trademark, and copyright applications.
• IP ownership structuring in AI co-creation and collaborative projects.
• Licensing and commercialization of tech-based IP (including AI-as-a-Service).
• Drafting NDAs, IP assignment agreements, and open-source compliance policies.
• Navigating fair use and derivative rights in generative AI outputs.
• Trade secret strategies for proprietary models and software.
• IP enforcement and infringement litigation support for emerging tech.

We partner with you to embed ethical frameworks and legal foresight into your tech development, ensuring your innovation is human-centered and regulation-resilient.

• Drafting internal ethics guidelines and responsible innovation playbooks.
• Advisory on non-discrimination, accessibility, and human rights principles.
• Assessing alignment with global AI ethics frameworks (OECD, UNESCO, African Union).
• Human rights impact assessments (HRIA) for emerging tech deployment.
• Structuring oversight boards, ethics review panels, and community engagement frameworks.
• Legal advisory on content moderation, misinformation, and platform liability.
• Designing feedback loops, redress mechanisms, and user control systems.
• Supporting compliance with ESG goals through ethical tech practices.

We support technology companies and innovators looking to launch or scale frontier technologies across Africa and globally—navigating risk, regulation, and opportunity.

• Legal structuring of multi-jurisdictional tech deployments.
• Advisory on localization, market entry, and regulatory compatibility.
• Managing IP and data rights across borders.
• Drafting MoUs, partnerships, and licensing agreements for regional expansion.
• Cross-border compliance with data, AI, and consumer protection laws.
• Legal guidance on local content requirements and digital trade facilitation.
• Advising on participation in innovation sandboxes, labs, and PPPs.
• Strategic support for government engagement and policy shaping.