AI Compliance
Legal assessment, risk mitigation, and compliance frameworks for AI products and integrations.
We assist AI companies, SaaS products, IT businesses, and organizations integrating AI into their workflows to conduct a legal assessment, identify risks, draft required documentation, and build a practical AI compliance roadmap.
When Your Business Requires AI Compliance
An AI compliance review is recommended if your company:
-
Develops an AI product, AI module, AI assistant, chatbot, or recommendation system
-
Integrates AI into SaaS platforms, mobile apps, marketplaces, CRM, HR-tech, fintech, edtech, or health-related products
-
Plans to launch or sell AI solutions in the EU market
-
Uses AI for evaluation, recommendations, profiling, scoring, ranking, or decision support
-
Deploys AI across HR, recruitment, education, finance, insurance, healthcare, legal tech, or customer support
-
Utilizes third-party AI models, APIs, or foundation models within proprietary software
-
Receives inquiries from enterprise clients or investors regarding the EU AI Act, data protection, security, explainability, human oversight, or vendor review
-
Prepares for venture capital investments, M&A transactions, legal due diligence, or market expansion
What We Review
AI System Qualification
We determine whether your product qualifies as an AI system under the EU AI Act, or constitutes standard software, automation, rule-based logic, or another digital tool.
Company Role
We assess the company's role in the AI system supply chain: provider, deployer, importer, distributor, or another operator. This directly determines applicable legal obligations.
AI System Risk Categorization
We evaluate whether your AI scenario falls under prohibited practices, high-risk systems, transparency obligations, GPAI, or minimal risk based on its intended purpose and practical use.
Use Case & Intended Purpose
We analyze the specific purpose of the AI solution: content generation, analytics, recommendations, automated responses, scoring, profiling, moderation, HR solutions, or financial assessments.
Impact on Users & Individuals
We assess whether the AI solution impacts individuals' rights, interests, or access to essential services, employment, education, finance, or healthcare, determining if extra safeguards are required.
Data & GDPR Risks
We verify if personal data is processed, assess data categories, check for profiling or automated decision-making, and determine the need for DPA, DPIA, or privacy notices.
AI Providers & Third-Party Models
We review third-party AI providers, APIs, foundation models, or open-source models: terms of use, restrictions, data training policies, security, retention, audit rights, and liabilities.
Human Oversight & Quality Control
We establish whether human oversight is required, who conducts it, at what stage, and how reviews are logged - crucial where AI affects decisions about people or clients.
User Transparency
We determine whether users must be notified about interacting with an AI system, chatbot, AI-generated content, synthetic media, or automated processing based on functional scope.
Client & Partner Agreements
We assess whether AI risks are adequately addressed in Terms of Use, SaaS Agreements, MSAs, DPAs, SLAs, NDAs, contractor agreements, and enterprise client documentation.
Our Engagement Workflow
Scope & System Assessment
We start with an analysis of your product, AI features, intended purpose, target users, sales model, technical architecture, and the role of AI in decision-making to determine if it qualifies as an AI system under the EU AI Act or standard automation.
Company Role Determination
We define whether your company acts as a provider, deployer, importer, distributor, product manufacturer, or another participant in the AI supply chain, establishing your precise legal obligations.
Risk Classification under EU AI Act
We classify your AI use case across regulatory risk tiers: prohibited practices, high-risk systems, transparency obligations, GPAI / foundation models, or minimal risk, checking applicable exemptions and transitional rules.
Gap Analysis
We benchmark your current product architecture against EU AI Act standards, AI governance, data handling, technical documentation, event logs, human oversight, vendor vetting, data protection, cybersecurity, and internal policies.
Drafting Documentation & Procedures
We draft and update customized compliance materials: AI Policy, Terms of Use, SaaS Agreements, DPAs, AI disclosures, vendor terms, risk assessments, DPIAs, human oversight workflows, and technical documentation overviews.
Compliance Roadmap & Implementation
We build a practical action plan outlining requirements before launch, enterprise procurement safeguards, investor due diligence materials, and ongoing review triggers, supporting end-to-end integration with your product team.
What Documents Might Be Needed
Develops an AI product, AI module, AI assistant, chatbot, or recommendation system
Юридичний висновок або короткий меморандум щодо того, чи є продукт AI-системою, яку роль має компанія, яка ризикова категорія може застосовуватися та які вимоги варто врахувати.
Integrates AI into SaaS platforms, mobile apps, marketplaces, CRM, HR-tech, fintech, or health-related products
Практичний план дій: які документи підготувати, які процеси впровадити, які ризики закрити першочергово та що перевіряти після оновлення продукту.
Plans to launch or sell AI solutions in the EU market
Внутрішня політика використання AI для команди, яка визначає дозволені та заборонені сценарії використання AI, правила роботи з даними, перевірки результатів і відповідальних осіб.
Uses AI for evaluation, recommendations, profiling, scoring, ranking, or decision support
Положення для Terms of Use, SaaS Agreement або окремих повідомлень користувачам щодо використання AI, обмежень результатів, відповідальності, human review та правил користування AI-функціоналом.
Deploys AI across HR, recruitment, education, finance, insurance, healthcare, legal tech, or customer service
Оцінка ризиків конкретного AI use case з урахуванням функціональності продукту, категорій користувачів, даних, AI-провайдерів, можливого впливу на фізичних осіб та договірних обмежень.
Utilizes third-party AI models, APIs, or foundation models within proprietary software
Оцінка впливу на захист даних може бути потрібна, якщо AI-рішення передбачає високоризикову обробку персональних даних, зокрема profiling, automated decision-making, scoring або інші чутливі сценарії.
Receives inquiries from enterprise clients or investors regarding the EU AI Act, data protection, security, or explainability
Документи або правила щодо джерел даних, якості даних, доступу, зберігання, видалення, використання даних для training або fine-tuning, а також перевірки AI-провайдерів.
Seeks to clarify whether a product falls under prohibited practices, high-risk AI systems, or transparency obligations
Процедура, яка визначає, коли результат AI має перевіряти людина, хто відповідає за таку перевірку, як фіксуються рішення та що робити у разі помилки або скарги.
Vendor / AI Provider Review
Перевірка сторонніх AI-провайдерів, API, foundation models або open-source моделей: умови використання, data use, confidentiality, retention, security, IP, indemnity та обмеження відповідальності
Документи для enterprise-клієнтів та інвесторів
Відповіді на AI / privacy / security questionnaires, опис AI-функціоналу, перелік AI-провайдерів, sub-processors, data flows, safeguards та внутрішніх правил компанії.
Key Documentation We Deliver
Developing or Integrating an AI Solution?
The EU AI Act impacts not only documentation, but also product architecture, data workflows, human oversight, user transparency, and enterprise client requirements. We will help you identify where legal risks arise in your AI product and determine what needs to be addressed prior to launch, investment rounds, or EU market entry.
Fill out the form, and our legal team will contact you to discuss the details.
Frequently Asked Questions (FAQ)
Does every AI product fall under the EU AI Act?
Are all AI systems classified as High-Risk?
What is the difference between an AI Provider and an AI Deployer?
Can the EU AI Act apply to companies located outside the European Union?
Are standard Terms of Use and Privacy Policies sufficient for an AI product?
Is a DPIA required for every AI product?
Must users always be notified that they are interacting with an AI system?
Чи потрібно переглядати AI-комплаєнс після запуску продукту?
Does every AI product fall under the EU AI Act?
Not every AI product has the same scope of obligations. We first determine whether the solution qualifies as an AI system, establish the company’s role, verify where the product is deployed, and assess whether the specific use case triggers specialized EU AI Act rules.
Are all AI systems classified as High-Risk?
No. High-risk is a specific category determined by system purpose, operational sector, impact on individuals, and statutory criteria under the EU AI Act. Many AI systems present minimal or limited risk profiles subject only to basic transparency rules.
What is the difference between an AI Provider and an AI Deployer?
A Provider develops an AI system or places it on the market under its own brand. A Deployer uses an AI system under its authority in professional activities. Regulatory duties, documentation burdens, and liability rules differ significantly between these roles.
Can the EU AI Act apply to companies located outside the European Union?
Yes. It applies if an AI system is placed on the EU market, deployed within the EU, or if outputs produced by the AI system are used within the European Union. Companies outside the EU must assess the extraterritorial scope for each specific product.
Are standard Terms of Use and Privacy Policies sufficient for an AI product?
Not always. AI solutions often require specialized AI disclosures, DPAs, DPIAs, internal AI Policies, risk assessments, vendor reviews, human oversight procedures, and data governance materials depending on functionality and deployment markets.
Is a DPIA required for every AI product?
No. A Data Protection Impact Assessment is required when AI data processing creates a high risk to individuals’ rights and freedoms, particularly in profiling, automated decision-making, scoring, or processing sensitive categories of personal data.
Must users always be notified that they are interacting with an AI system?
In specific scenarios, yes. Transparency obligations apply when interacting directly with chatbots or AI tools, as well as when publishing synthetic media or AI-generated content. Disclosure scope and formats depend on system functionality and applicable rules.
Чи потрібно переглядати AI-комплаєнс після запуску продукту?
Так. AI-комплаєнс потрібно переглядати після суттєвих змін у продукті: нові AI-функції, нові ринки, нові категорії користувачів, зміна AI-провайдера, використання нових даних або зміна призначення системи.
