Business fields · Legal
AI training for Legal Professionals
Legal departments and law firms work with large volumes of text: contracts, pleadings, statutes, judgments and correspondence. That is why generative AI is changing legal work so profoundly. AI assistants summarise case files and judgments, draft contracts from model clauses, compare contract versions, identify risks in clauses and prepare outlines for submissions. AI agents and automation support due diligence reviews, deadline management and answering recurring questions from the business. Diligence remains essential: language models can invent citations or misstate the law, and client confidentiality and professional rules set clear limits on data processing. Lawyers who combine AI with verified sources, clear review steps and secure environments gain time for strategy, negotiation and advice.
Who is this course for?
- Lawyers and partners in law firms
- In-house counsel and corporate lawyers
- Paralegals and legal assistants
- Legal operations and legal tech leads
- Contract managers
Typical challenges we address
- Reviewing large numbers of contracts and files in a short time
- Ensuring consistent quality for standard contracts and recurring requests
- Keeping track of case law and legislative changes efficiently
- Protecting client and business secrets when using digital tools
Practical scenarios from your field
Contract review
An AI assistant checks contracts against an internal playbook, flags deviating or missing clauses such as limitation of liability, jurisdiction or termination rights and suggests alternative wording for lawyers to evaluate.
Contract drafting
Approved model clauses and a structured questionnaire produce a draft contract, for example a non-disclosure or services agreement, including explanations for the business team.
Summarising files and judgments
AI condenses extensive files, submissions or judgments into facts, issues, arguments and outcome and creates chronologies that are checked against the originals.
Due diligence support
Contracts in data rooms are searched for change-of-control clauses, exclusivities, terms or liability risks, and findings are prepared in an overview for the due diligence report.
Structuring submissions
AI proposes outlines and lines of argument for submissions, opinions or memos, drafts individual sections and checks texts for contradictions and clarity.
Legal self-service for the business
A knowledge assistant answers standard questions from business units, such as contract approval or signing authority, based on internal policies and routes complex requests to the legal team.
Possible hands-on projects
NDA generator
A small app that collects parties, purpose and term via a form and generates a non-disclosure agreement from approved clauses.
Clause comparison tool
An internal tool that compares two contract versions side by side, highlights changes and comments on their legal relevance in an overview.
Contract and deadline register
A dashboard that records contract terms, notice periods and renewal options and reminds owners in good time.
All 15 courses for Legal Professionals
AI for business (12)
- ChatGPT for Legal Professionals
- Claude for Legal Professionals
- Microsoft 365 Copilot for Legal Professionals
- Google Gemini for Legal Professionals
- AI Agents for Legal Professionals
- Prompt Engineering for Legal Professionals
- Generative AI for Legal Professionals
- n8n for Legal Professionals
- Make for Legal Professionals
- Perplexity for Legal Professionals
- Mistral Le Chat for Legal Professionals
- EU AI Act & AI Compliance for Legal Professionals
Vibe & agentic coding (3)
Data protection & compliance
Lawyers are bound by professional secrecy, in Germany under the Federal Lawyers' Act and Section 203 of the Criminal Code; client data may only be shared with service providers bound to confidentiality and processing data in line with the GDPR. Otherwise, facts must be anonymised, and AI output must always be checked against primary sources.
Prerequisites
You work in a legal role, for example at a law firm or in-house legal department, and regularly handle contracts or submissions.
Frequently asked questions
May lawyers enter client data into AI tools?
Only if the provider has been carefully selected, is bound to confidentiality, is contractually integrated under data protection law and does not use inputs for training. Otherwise, work with anonymised facts. In the course we develop clear, practical guidelines for this.
How do we deal with invented citations?
Language models can invent case numbers, sections or quotes. Use AI with supplied sources as context or with legal databases that provide verified references, and check every citation before using it. We practise this review routine in the course with realistic examples.
Request without obligation
We will get back to you within one working day with a confirmation or an alternative suggestion.