Training course – ChatGPT – Legal

ChatGPT for Legal Professionals

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects ChatGPT with the everyday processes of Legal. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

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.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

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

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Use AI for contract review, drafting and file summaries with systematic source verification.
  • Automate recurring legal workflows such as standard contracts and requests from the business.
  • Use AI while upholding client confidentiality, professional rules and the GDPR.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: Legal
  • Contract review
  • Contract drafting
  • Summarising files and judgments
  • Due diligence support
  • Structuring submissions
  • Legal self-service for the business
Module 7 Data protection, quality & transfer to daily work
  • 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.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

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.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. You work in a legal role, for example at a law firm or in-house legal department, and regularly handle contracts or submissions.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

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.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Mon, 14 December 2026 6 hrs Request
  • Salzburg Wed, 16 December 2026 6 hrs Request
  • Berlin Fri, 11 December 2026 6 hrs Request
  • Augsburg Mon, 14 December 2026 6 hrs Request
  • Hanover Thu, 10 December 2026 6 hrs Request
  • Bremen Thu, 10 December 2026 6 hrs Request
  • Stuttgart Thu, 10 December 2026 6 hrs Request
  • Kaiserslautern Mon, 14 December 2026 6 hrs Request
  • Online Mon, 14 December 2026 6 hrs Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

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.

How much does “ChatGPT for Legal Professionals” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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