How In-House Lawyers in Germany Are Using AI

From contract reviews to legal research, AI is becoming part of everyday legal work. Here's what candidates should know.

It's becoming increasingly difficult to have a conversation with a legal hiring team without AI coming up somewhere.

Whether we're speaking to a company about recruiting a General Counsel, Head of Legal or Legal Counsel in Germany, there's often a question about how AI might fit into the role.

Sometimes the company already has tools in place. Sometimes it's only beginning to explore what's possible. And occasionally, the hiring manager is just as interested in hearing what other legal departments are doing.

Most hiring managers are asking candidates about AI before they've fully worked out how they want to use it in their own legal department.

That creates an opportunity for candidates.

You don't necessarily need extensive experience with AI. But if you've had the chance to experiment with it, understand some of its limitations and can explain where it's been useful, you'll have something interesting to contribute to the conversation.

So, how are in-house lawyers in Germany actually using AI in their day-to-day work? And where might it be worth experimenting yourself?

AI is already finding its way into German legal departments

German companies can be understandably cautious when adopting new technology, particularly where confidential information, data protection and legal advice are concerned.

Nevertheless, AI is gaining ground.

The 2024/25 Legal Operations Study by the Bundesverband der Unternehmensjuristinnen und Unternehmensjuristen (BUJ) and EY Law found that 53.5% of surveyed German legal departments were already using generative AI, with another 25.6% planning to introduce it.

More recently, the international General Counsel Report 2026 from FTI Consulting and Relativity found that 87% of the General Counsel surveyed were using or actively testing generative AI.

Of course, there's a considerable difference between experimenting with ChatGPT or Microsoft Copilot and having AI properly integrated into a legal department's processes.

Here are five areas worth considering.

1. Contract reviews and negotiations

For many in-house lawyers, contract review is an obvious starting point.

Think about the amount of time spent reviewing NDAs, supplier agreements, customer contracts and amendments.

Even when a company has well-established templates, there's still considerable work involved in identifying deviations, assessing risk and deciding what needs negotiating.

AI can help with the initial review.

For example, a lawyer reviewing a supplier agreement might use an appropriate AI tool to compare it against the company's standard terms, highlight unusual liability provisions, identify missing clauses or suggest alternative wording.

This can be particularly useful for lawyers working across several European jurisdictions, where agreements may arrive in different languages and follow different contractual approaches.

The lawyer still needs to decide whether the suggestions are legally correct and commercially appropriate.

But if AI can help identify the issues more quickly, there's potentially more time to focus on the actual negotiation.

Worth experimenting with: Take a suitably anonymised agreement and compare it against an approved template using a company-authorised AI tool. How accurately does it identify the deviations? Does it spot anything you might otherwise have missed?

2. Legal research and getting up to speed on unfamiliar issues

In-house lawyers are regularly asked questions that fall outside their immediate area of expertise.

A HR colleague might raise an unfamiliar employment law issue. The commercial team might need advice about entering a new market. Or senior management might want an initial assessment of a regulatory development.

Often, the challenge isn't simply finding the legal answer. It's getting sufficiently up to speed to understand what needs investigating.

AI can be useful at this early stage.

It can help structure a research question, identify potential legal issues, summarise source material and organise information into a more manageable format.

For German in-house lawyers advising international businesses, this could be particularly relevant when dealing with questions involving German law alongside EU regulation or the laws of other countries.

There are obvious limitations. AI can produce incorrect information, cite non-existent cases or overlook important legal developments.

It's therefore important to verify the output against reliable legal sources rather than treating it as a substitute for proper research.

Worth experimenting with: Next time you're researching a non-confidential legal issue, see whether AI can help you structure the questions you need to answer. Compare its suggestions against the research you would normally undertake.

3. Communicating legal advice to the business

This is one of the more interesting applications because it relates directly to something successful in-house lawyers already need to do well.

Providing accurate legal advice is only part of the job. You also need to explain it in a way that colleagues without legal backgrounds can understand.

A detailed analysis of contractual risk might be entirely correct, but your Sales Director probably wants to know what the issue is, how serious it is and what the business can do about it.

AI can help adapt information for different audiences.

For example, a lawyer could take an internally prepared legal assessment and use an authorised AI tool to help produce a concise management summary, a list of practical recommendations or a briefing for the relevant commercial team.

The original legal analysis remains the lawyer's responsibility, including checking that important qualifications haven't been lost when the information is simplified.

But this is an area where AI could make legal advice more accessible.

And ultimately, that's part of being an effective business partner: helping colleagues understand the risks without overwhelming them with legal detail.

4. Managing internal legal questions and knowledge

Anyone who has worked in-house will recognise how much time can disappear answering variations of the same questions.

Can we sign this NDA?

Which template should Procurement use?

Who needs to approve this contract?

Does Legal need to review this particular agreement?

In many companies, the answers already exist in internal policies, guidance documents or previous advice. The difficulty is that colleagues don't always know where to find them.

This is another area where legal departments are exploring AI.

Internal knowledge systems can help employees find relevant guidance, locate approved templates and understand established processes.

For straightforward matters, that may reduce the need to contact Legal every time. More complicated questions can still be escalated to a lawyer.

These systems require reliable source material, appropriate access controls and clear rules about what they can and cannot answer. An inaccurate internal answer can create more work than it saves.

But consider the potential for a small legal department supporting a large business.

If AI can help colleagues answer some of the routine questions themselves, lawyers may have more capacity for matters that genuinely require their expertise.

Worth experimenting with: Keep a record of the routine questions your legal team receives over a couple of weeks. How many are repeated? Could clearer guidance, better templates or an internal AI knowledge tool help?

5. Monitoring regulatory developments

For lawyers working in regulated industries, keeping on top of legal developments can take up a significant amount of time.

Whether you're supporting a business in financial services, automotive, manufacturing, pharmaceuticals or technology, there may be a constant stream of regulations, consultations and guidance to monitor.

Identifying what's changed is only the beginning.

You then need to understand whether it affects the business, which departments need to know and whether existing processes or contractual arrangements require attention.

AI tools can help organise some of that information.

For example, they can assist with summarising regulatory documents, preparing initial briefings or comparing published requirements against an internal checklist.

For German businesses, the EU AI Act also creates an additional dimension.

Legal teams aren't just considering how they can use AI themselves. They're increasingly involved in questions about how other departments introduce AI, including data protection, contractual risk, compliance and governance.

A lawyer who understands how AI works in practice may be better equipped to participate in those discussions.

Worth experimenting with: Choose a regulatory development relevant to your industry and test whether an appropriate AI tool can help you produce a short briefing explaining what has changed and which areas of the business might be affected. Check the result against the original sources.

What does this mean for your next legal interview?

From a recruitment perspective, this is where things become particularly interesting.

If you're interviewing for an in-house legal position in Germany, don't be surprised if AI comes up.

That doesn't necessarily mean the company expects you to have implemented sophisticated legal technology or led a major transformation project.

Particularly at Legal Counsel level, a relatively simple example of how you've experimented with AI could be useful.

Perhaps you've used it to help structure a research projects, review contractual wording or communicate a complicated issue more clearly.

Being able to explain what you tried, whether it worked and what you learned is much more convincing than simply saying you're interested in AI.

For more senior positions, the conversation may go further.

You don't need a perfect success story.

In fact, explaining why something didn't work, what the technology missed or why you decided not to use it for a particular task can demonstrate good judgement.

And if your employer doesn't permit the use of AI, that's entirely understandable. You can still develop your knowledge through training, and experimenting personally.

Start small and see what works

If you haven't experimented with AI yet, I'd suggest choosing one repetitive task from your normal working week.

Something you do regularly enough to know how long it normally takes and what a good result looks like.

If your company's policies allow it, try using an authorised AI tool to assist with part of that task.

You don't need to change the whole process. Just see whether the technology helps and whether the time spent checking its output is worthwhile.

Naturally, confidentiality and data protection need to come first. Don't enter personal data, confidential legal advice, sensitive contracts or commercially sensitive information into an unapproved AI system. Your employer's policies and the relevant legal requirements should determine what can be used and how.

If the experiment works, make a note of what you did and what the benefit was.

If it doesn't, understanding why is useful too.

A final thought

Some legal departments are investing heavily in the technology. Others are running small pilots, while many are still trying to work out where it might fit into their existing processes.

But AI is increasingly finding its way into recruitment conversations.

For candidates, that makes it worth paying attention to.

You don't need to have led an AI implementation project to have something worthwhile to say in an interview.

But if you've taken the time to experiment, understand the limitations and identify where the technology might genuinely help, you're likely to have a more interesting conversation with a prospective employer.

And given how frequently AI is now coming up when we speak to legal hiring teams, that's certainly no bad thing.