Before the training: AI Native Foundation self-study
Before the training, you complete approximately four hours of online self-study covering the AI Native Foundation theory. This allows the two training days to focus as much as possible on practical application.
The self-study covers topics including:
- What it means to work as an AI-native professional and organisation
- Generative AI, machine learning and automation
- AI trends and their impact on work, teams and organisations
- AI mindset: moving from individual tools to integrated application
- Prompt structures and frameworks
- Roles, context, constraints and iteration in prompts
- AI for analysis, creation and communication
- Identifying and assessing relevant AI use cases
- The AI Use Case Canvas: from problem and data to a potential AI solution
- Data quality, data flows and governance
- Privacy and ethics, including GDPR, bias, transparency and risks
- Integrating AI into existing processes
- Workflow automation using no-code and low-code applications
- Human-AI collaboration and the necessary checks and controls
During the training days, there is time to ask questions about the theory. The trainer will also clearly explain which topics you need to know and understand for the AI Native Foundation exam.
Practical day 1: Review work and legal writing
The first practical training day focuses on prompting and applying AI to recognisable legal tasks. You will practise with applications including:
- Contract review based on your own playbook
- NDA triage
- Redlining
- Data processing agreements
- Legal memos that are clear and useful for senior management
You will work with different prompts and ways of working, assess the results and exchange experiences with other in-house lawyers and legal professionals in the group.
Practical day 2: From your own case to a way of working that lasts
On the second practical training day, you continue working with your own legal case and develop it into a way of working that you can continue using after the training. You will further practise prompting and learn how AI and agents can support different steps within your work.
An important part of the day is deciding which work you do want AI to support and which work you deliberately do not want to hand over. You translate what you have learned into your own practice and finish the training with practical prompts and ways of working that you can use immediately, as well as a personal 30-60-90 day plan.