Artificial Intelligence Lawyer:
AI legal advice for businesses
- Practical AI legal advice with technology expertise
- Holistic AI compliance at the highest level
- Combining artificial intelligence and law without stifling innovation
What is Artificial Intelligence in business?
Artificial intelligence (AI) refers to technologies that enable machines to perform tasks that typically require human intelligence, such as learning, problem solving or pattern recognition. AI is becoming increasingly relevant to businesses because it can increase efficiency, automate processes and optimise data-driven decisions. Whether in manufacturing, customer service or marketing, the use of AI offers companies a competitive advantage and opens up new business opportunities.
What are the use cases for Artificial Intelligence in business?
Artificial Intelligence (AI) offers numerous use cases in the enterprise to increase efficiency, reduce costs and develop innovative business models. In particular, AI offers significant advantages in automation and data analysis. Common applications include:
- Process automation: Automate repetitive tasks such as data entry or invoice processing.
- Customer service: Using chatbots and virtual assistants to answer customer queries.
- Data analytics: Analysing large volumes of data to identify trends and patterns.
- Quality assurance: Automated monitoring and defect detection in production.
- Supply chain optimisation: improving supply chains through predictive models and automated ordering processes.
- HR and recruiting: Automated candidate sourcing and applicant profile analysis for better staff selection.
- AI Intranet: AI-powered solution for navigating and viewing internal data and information.
What are the challenges for companies in the AI sector?
- AI inventory: Companies need an overview of all AI systems used and their characteristics.
- AI Literacy: The AI Act requires managers and those responsible for AI to have sufficient expertise in the field of artificial intelligence.
- AI governance: Companies need efficient structures to fulfil the requirements of AI compliance.
- Classification: It must be determined whether a system is an AI solution and in which risk class it should be categorised.
- Role determination: For each AI system, it must be determined whether the company acts as a provider or operator. This categorisation can be difficult with individual modifications and the compliance requirements also change depending on the role.
- Contract management: Legally compliant contracts with service providers or customers are essential for both providers and operators of AI systems.
- Data use & Data protection: In the case of AI systems, the processing of (personal) data and the corresponding legal regulations in the area of data protection, trade secrets and database law must always be taken into account.
- Copyright: The protectability of AI products or prompts and the protection of one's own content from data mining by AI models is becoming increasingly important.
- Open source models: When using open source AI models, depending on their nature, companies may have to assume some of the compliance obligations of the providers.
Our AI consulting services at a glance
- Regulatory mapping:
Identification of relevant regulatory requirements through detailed mapping according to various national specifications and EU data regulations. - Data & AI Governance:
Developing and adapting governance structures, identifying requirements and preparing for AI regulation. - Training courses:
Workshops on the scope and implementation of the Al Act, Al competence training according to Art. 4 Al Act for managers, product teams and developers. - AI Inventory:
Helping to create an overview of all AI systems in the organisation, including determining whether a system should be defined as an AI system or not. - Contract drafting:
Drafting contracts related to KI projects, such as development contracts, AI-as-a-Service (AIaaS) contracts and others. - Advice on external AI applications:
Advice and guidance on the use of external CL applications and testing of third party applications. - Anonymisation & Pseudonymisation:
Design and advice on anonymisation and pseudonymisation policies - Risk assessments:
Advice on risk assessments in the context of data protection and fundamental rights consequences assessments in relation to AI systems. - Copyright advice:
Advice on the copyright implications of GenAl (e.g. rights to data input, protectability of prompts and output). - Legally compliant data use:
Advising on legally compliant data use of big data, machine learning and generative AI in the context of data protection law, trade secrets and database rights. - AI development advice:
Comprehensive advice on contract management, compliance and other legal aspects of AI development projects.
Why Schürmann Rosenthal Dreyer is your partner for AI solutions
Schürmann Rosenthal Dreyer combines 16 years of legal expertise with in-depth technical know-how to provide you with comprehensive solutions in the field of artificial intelligence. Our firm has both experienced lawyers and technology experts who work together to ensure that your AI projects are legally compliant and future-proof.
Our expertise has been recognised many times: We have won the prestigious JUVE award for Law Firm of the Year in Data Protection and IT and are ranked in The Legal 500's top 2024 law firms.
Put your trust in Schürmann Rosenthal Dreyer - the partner who will lead your AI projects to success with a unique combination of legal excellence and technical understanding.
Initial no-obligation artificial intelligence consultation
Why not arrange a no-obligation initial consultation with one of our specialist solicitors to discuss your situation and advice needs?
FAQ: Artificial Intelligence in business
AI technologies raise complex issues related to privacy, copyright, IT security and compliance. Given their potential to change business models and social norms, companies need to address these legal issues in order to drive innovation while minimising legal risk.
The EU AI Regulation sets out a framework for the use of AI systems, with a particular focus on transparency, security and the protection of fundamental rights. It classifies AI systems according to their level of risk and sets out requirements to ensure that AI is used in a legally compliant manner.
Start with a regulatory mapping exercise to identify the regulatory requirements relevant to your AI project. Then implement structured processes and guidelines, such as an AI playbook or specific AI policies, and provide regular training for your team. This will lay the groundwork for using AI technologies safely and in compliance with the current regulatory framework.
We offer a range of services to support companies on their journey to AI integration. These include bespoke legal advice on individual AI use cases, comprehensive regulatory mapping, AI policy and playbook development, data protection impact assessments, contract drafting and specialist training. Our aim is to equip your business with the knowledge and tools to use AI technologies effectively, securely and in compliance with the law.
Yes, the legal challenges posed by AI are relevant across all industries. Any company using or planning to use AI technologies needs to consider the legal implications. We advise a wide range of clients from different sectors to ensure that their AI projects comply with legal requirements.
While our focus is on legal advice, we work closely with technical experts and can help you identify appropriate technical partners. Our deep understanding of the intersection of technology and law enables us to effectively guide you through the implementation of your AI projects from both a legal and technical perspective.
