European servers · Based in AmsterdamAI training for law firms and legal services
Legal work is document work, and document work is exactly what AI is good at. The question is how to do that without putting confidentiality, professional rules or quality at risk.
The AI literacy obligation applies to organisations like
Billable hours, File pressure, Confidentiality, Quality risk.
Every lawyer recognises it: hours spent reading, summarising and comparing instead of forming judgement. AI shifts that work, provided it's clear which data may and may not go in, and who checks the outcome.
- Billable hours
- File pressure
- Confidentiality
- Quality risk
Where AI in legal really saves time.
No generic promises. These are the processes we start with, and what they deliver.
File analysis
A file of hundreds of pages reduced to a statement of facts, timeline and open issues.
Comparing contracts
Deviations from your own template agreement surfaced in minutes, with a reference per clause.
Due diligence
Document sets searched for risk clauses, change of control and penalty clauses.
Searching case law
Relevant rulings found and summarised, with citations; the lawyer always checks the source.
Preparing procedural documents
A first draft of a statement of defence based on the file and positions, which the lawyer refines.
Client correspondence
Plain-language explanation of what a document means legally for the client.
Intake and conflict checks
New matters checked for conflicting interests and completeness before acceptance.
The firm's knowledge base
Your own templates, memos and advice made searchable in plain language, without anything leaving the firm.
One organisation, three levels.
The EU AI Act expects the level to match the role. So we don't train everyone the same way: a baseline level for everyone who uses AI, a deeper level for those who apply AI in decision-making or customer contact, and a governance level for those who decide which systems come in.
How this meets the AI literacy obligation →- Partners and management
- Lawyers and legal counsel
- Notarial staff
- In-house counsel
- Knowledge management
- IT and information security
Law firm in the Randstad
In-house programme for the whole firm, built around the firm's own files rather than generic examples. Explicit agreements on which data may go into which system, and a firm-wide AI code of conduct aligned with professional rules.
2
sessions with a practice period in between
100%
worked with the firm's own, anonymised files
What firms pay this from
Usually from the training budget or the firm's budget for quality and innovation. Firms that qualify as SMEs can use the SLIM scheme: 60% of training costs, up to a grant ceiling per application. We arrange training points in consultation with your professional body.
All budgets and subsidies at a glance →GDPR-proof, within the EU
Everything we build runs on European infrastructure, with data isolation per organisation, audit logs and the right to erasure. Your data is never used to train third-party models, and decisions with consequences always rest with a named human.
How we guarantee that →Three AI agents, ready to use.
Every training comes with three ready-made AI agents, chosen for your sector and set up around the way you work. They're live the moment the training ends, with no implementation project and no extra invoice.
File Summariser
Reduces a file of hundreds of pages to a statement of facts, timeline and open issues, with a source reference per fact.
Contract Comparer
Lists deviations from your own template agreement per clause, including penalty clauses and change of control.
Firm Knowledge Base
Makes your own templates, memos and advice searchable in plain language, without anything leaving the firm.
All agents run on European infrastructure, never use your data to train third-party models, and hand every decision that matters to a named person.
Frequently asked questions from legal.
The questions that come up first in this type of organisation: the legal obligation, procurement, privacy and where to start.
Client data doesn't belong in a public consumer chatbot, because you can't guarantee where it ends up. What we deploy runs within the EU with data isolation per firm and without your data being used to train third-party models. In the training we set out, per system, which data may and may not go in: that's the part firms need most in practice.
Not independently, and that's not where the value lies anyway. Language models produce convincing-sounding text and can fabricate sources that don't exist, a real and documented risk in a legal context. We therefore train on preparatory work where the lawyer checks every source: summarising, comparing, searching and drafting.
That depends on your professional body and how the programme is structured. We provide the substantive justification, participant list and hours accounting that an application needs, and align the setup accordingly in consultation. Mention it at intake and we'll design the programme around it from the start.
Yes, and that's the whole point. Generic examples generate enthusiasm and little else. We work with your own, anonymised files and templates, so participants leave with applications they can use in their own matters on Monday.
Further reading
- AI literacy under the EU AI ActWhat the AI literacy obligation actually requires, and what dossier you need to be able to show.
- What does AI training cost?Starting at €495 per person, and what determines the final price.
- Spending your innovation budgetWhich pots you can pay from, and which subsidies you can stack on top.
Two ways in.
Answer a few questions and get a number now, or skip straight to a person. Both end up in the same place.
50+ organisations helped · 3,000+ people trained
We love AI, but it's nice to talk to a human.
No bot, no ticket queue. A person reads this and answers within one working day, usually with a free 30-minute assessment of where AI would actually save you time and money.
