Training course · Claude Code · Legal

Claude Code for Legal Professionals

Agentic coding with Claude Code in the terminal and IDE: CLAUDE.md, subagents, hooks, MCP, CI pipelines and secure permissions.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Claude Code for Legal Professionals” is designed for roles such as Lawyers and partners in law firms, In-house counsel and corporate lawyers and Paralegals and legal assistants and shows step by step how to use Claude Code productively, safely and transparently in Legal – from the fundamentals to advanced workflows.

Claude Code is not only for professional developers. Business users with no programming background can use it to analyse data, clean up Excel and CSV files, generate reports or build small internal tools, all in plain language. You describe what should happen, and Claude Code writes and runs the necessary scripts itself. This course variant shows you how to put these capabilities to work in your daily job without needing to understand code, and how to check the results reliably before anyone relies on them.

You will work through realistic office scenarios: merging exports from several systems, producing analyses with charts, generating documents and mail merges automatically, or turning repetitive file chores into a single command. Working safely is a central theme: which data may be processed, how you stay in control of approvals, and when to involve your IT department. The result is a set of useful helpers that take load off your team while remaining transparent and easy to hand over.

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 commission data analyses and file tasks from Claude Code in plain language.
  • You clean and combine Excel and CSV data and check the results for plausibility.
  • You automate recurring document and reporting tasks with reusable instructions.
  • You have small internal helper tools built and refine them step by step.
  • 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

Day 1

Module 1 Getting started without coding skills
  • What a coding agent is and what it is allowed to do on your computer
  • Launching Claude Code and setting up a protected working folder
  • Describing tasks in everyday language: goal, input files, expected result
  • Understanding approval prompts and consciously accepting or declining them
Module 2 Analysing data in Excel and CSV files
  • Cleaning exports: duplicates, date formats, missing values
  • Combining several tables and calculating key figures
  • Producing charts and summaries as Excel files or images
  • Sanity-checking results with spot checks and cross-calculations
Module 3 Automating documents and routine tasks
  • Generating reports, minutes and mail merges from templates and data
  • Renaming, sorting and converting files automatically
  • Saving recurring procedures as reusable instructions
  • Writing a simple team guide in CLAUDE.md
Module 4 Building small scripts and internal tools
  • From idea to working helper: stating requirements clearly
  • Having simple input forms or local web interfaces created
  • Improving step by step: describing problems instead of debugging yourself
  • Documenting results so colleagues can use them

Day 2

Module 5 Working safely and responsibly
  • Handling personal and confidential data correctly
  • Limiting permissions and working only in approved folders
  • Recognising limits: when a tool should be handed over to IT
  • Coordinating with IT, data protection and business owners
Module 6 Hands-on project: your own solution for Legal
  • 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.
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.

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.

Prerequisites

No programming knowledge is needed; confident use of Excel, files and folders on your own computer is sufficient. 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

Your own laptop with admin rights, Git, a Node.js runtime and an up-to-date editor; a Claude subscription or Anthropic API access is required for the exercises.

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.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Mon, 30 November 2026 – Tue, 1 December 2026 Kaiserslautern Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Online Request
  • Mon, 11 January 2027 – Tue, 12 January 2027 Augsburg Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Online Request
  • Wed, 10 February 2027 – Thu, 11 February 2027 Salzburg Request

Frequently asked questions

How is Claude Code different from traditional code completion?

Code completion suggests the next few lines, whereas Claude Code acts as an agent that handles whole tasks: it searches the repository, plans changes across several files, runs tests and commands, and corrects itself based on the results. You define the goal and review the outcome instead of steering every single line yourself.

Is Claude Code secure enough for enterprise use?

By default, Claude Code asks for approval before editing files or running commands. Permission rules, sandboxing, managed settings and hooks let you define precisely what the agent may do. During the course you learn to configure these mechanisms to match your security and data protection requirements and to assess risks such as prompt injection.

Does Claude Code work with my language and tech stack?

Yes. Claude Code is language-agnostic because it works with files, terminal commands and your existing build and test tooling. Whether you use Python, Java, TypeScript, Go, SAP-related code or infrastructure as code, what matters most is a well-written CLAUDE.md describing your commands and conventions. Each course variant adds the relevant domain focus.

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 “Claude Code for Legal Professionals” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm 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 or Kaiserslautern. We can also run the course exclusively for your team.

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