Legal Support for AI Projects

Legal Support for AI Projects from Concept to Commercialization

An AI project rarely requires just a single legal review or a simple set of terms and conditions. Businesses must simultaneously address:

• AI Act compliance
• GDPR compliance
• Rules governing the use of third-party data
• Relationships with AI model and infrastructure providers
• Intellectual property rights and licensing
• Liability for outputs, errors, and AI-generated recommendations
• Documentation for customers, users, and internal teams

HOW WE HELP

1. AI Project Legal Audit

We analyze how the solution operates, including:

• the limitations of the model,
• who deploys the system,
• who is responsible for the data and to what extent,
• whether and how AI influences decisions affecting individuals,
• whether the project falls within the scope of the AI Act,
• which documents should be prepared before deployment.

2. AI Act Compliance

We help determine:

• the client’s role within the AI value chain,
• the classification of the AI system,
• applicable legal obligations,
• risks related to deployment, use, and further distribution,
• a compliance roadmap tailored to the actual business model.

3. GDPR and Data Protection in AI Projects

We prepare:

• legal basis assessments for data processing,
• data retention policies,
• role assessments and data processing agreements,
• privacy notices,
• internal policies and procedures,
• DPIA assessments and full Data Protection Impact Assessments where required.

Data protection authorities emphasize that a DPIA is mandatory whenever planned processing activities are likely to result in a high risk to the rights and freedoms of individuals, including in the context of AI systems.

We also provide outsourced Data Protection Officer (DPO) services.

4. Contracts for AI Projects

We draft and negotiate:

• implementation agreements,
• licensing agreements,
• SaaS and white-label agreements,
• terms of service,
• contracts with AI, cloud, and data providers,
• clauses covering liability, service levels, intellectual property, confidentiality, and security.

5. Intellectual Property

We help organize and protect:

• rights to source code, models, prompts, input data, and outputs,
• open-source and commercial licenses,
• rules governing training data,
• copyright assignments,
• trade secrets and know-how protection.

6. Internal Documentation

We prepare:

• AI governance frameworks,
• AI usage policies for employees and contractors,
• AI tool approval procedures,
• rules for handling confidential and personal data,
• documentation for HR, legal, security, and product teams.

7. Support in Commercializing AI Products

We review:

• commercial offers,
• website content,
• terms and conditions,
• privacy policies,
• AI-related marketing communications,
• risks associated with marketing claims.

8. Due Diligence and Transactions

We support clients in:

• investment rounds,
• company or product acquisitions,
• intellectual property due diligence,
• documentation reviews,
• structuring relationships with technology partners.

WHO WE WORK WITH

This service is designed for:

• software development companies,
• businesses building internal AI solutions,
• organizations purchasing and implementing AI tools,
• AI startups,
• companies operating in regulated industries seeking compliant AI adoption.

HOW WE WORK

Although we provide end-to-end support, we can also assist with individual projects or one-off engagements.

1. Project Assessment

We identify how the solution works, where AI is involved, and which data is being processed.

2. Risk Identification

We determine what must be addressed before deployment or commercialization.

3. Action Plan

We divide the project into key legal areas:

• AI Act
• GDPR
• Intellectual Property
• Contracts
• Internal Documentation
• Commercialization

4. Documentation Preparation

We create or revise agreements, policies, procedures, and contractual provisions.

5. Implementation and Ongoing Support

We assist business, product, and technical teams in implementing legal requirements in practice.

CLIENT BENEFITS

Our clients receive:

• a clear legal risk map,
• a practical pre-deployment action plan,
• complete legal documentation,
• well-structured relationships with suppliers and customers,
• reduced risks related to data, intellectual property, and liability,
• legal support tailored to their business model.

FAQ

Does every AI feature fall under the AI Act?

Not in the same way. The assessment depends on the system’s functionality, purpose, and the role of each participant in the project. Proper classification is always the starting point.

Is a DPIA always required for AI projects?

Not always, but a preliminary assessment is often necessary. Where processing activities may pose a high risk to individuals’ rights and freedoms, a DPIA becomes mandatory.

Do you only support companies building their own AI models?

No. We also advise companies purchasing AI solutions, integrating third-party models, or embedding AI into existing products. The same legal risks relating to contracts, data, intellectual property, and compliance often apply.

Does your support include contracts and terms of service?

Yes. In practice, contracts and legal documentation are often where the most significant implementation risks arise, including licensing, liability, privacy policies, vendor relationships, ownership of deliverables, and internal governance requirements.

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