Why start with AI in the legal sector now?
The technology is mature, regulations are becoming clearer, and workload makes smart support essential.
Contract analysis
AI reads contracts in seconds, flags risk clauses and compares with standard terms. The lawyer decides, AI does the groundwork.
Legal research
AI searches case law, legislation and literature. Relevant sources with summaries and citations within minutes.
Document automation
From draft agreements to briefs: AI creates first versions based on templates and client data. The lawyer reviews and refines.
Due diligence
AI analyses data rooms in hours instead of weeks. Flags deviations, missing documents and potential deal breakers.
From experiment to daily practice
Over the past two years, AI in the legal sector has improved explosively. Where GPT-4 scored 75.7% on the Multistate Bar Exam in 2023, the latest models like GPT-5.1, Gemini 3 and Claude Opus 4.5 achieve scores of 90%+ – well above the average lawyer.
More important than scores: AI is now being used practically. Large firms use AI for contract review, legal research and first drafts. Smaller firms increase their productivity with the same tools.
What does this mean for your firm?
Less repetitive work: lawyers spend less time on standard documents and more on complex matters.
Faster research: no hours digging through databases, AI provides direct answers with citations.
More consistent output: AI forgets nothing and applies templates consistently.
Scalable services: handle more cases with the same capacity.
How we implement AI in your legal practice.
From initial exploration to working solution: we guide you through the entire process with a pragmatic approach.
Use case inventory.
Where are the biggest opportunities? Together we map out the time drains. Often contract review, legal research and due diligence score highest on impact versus effort.
Proof of Concept.
Within weeks we build a working prototype. With real (anonymised) contracts or documents and direct feedback from lawyers.
Privacy & compliance check.
We ensure the solution complies with GDPR and professional rules. Client confidentiality comes first – we work with models that do not use data for training.
Scalable implementation.
From pilot to production. We integrate with your document management system, train end users and ensure monitoring. Start small, scale up when it works.
Examples of AI in the legal sector
AI is already being used successfully for various applications. From contract analysis and legal research to due diligence and compliance monitoring.
AI-powered contract analysis
Upload a contract and AI marks risk clauses, deviations from standard terms and missing provisions within seconds. The lawyer reviews the findings and adjusts.
Practical benefits
Contract review in minutes instead of hours
Consistent quality across all contracts
Nothing overlooked
Legal research assistant
Ask a legal question in plain language and AI searches case law, legislation and literature. Result: an overview with relevant sources, summaries and direct citations.
Why this works
AI understands the context of your question and also finds sources you wouldn't have searched for yourself. The lawyer verifies and builds on the research.
Document generation
AI creates draft agreements, briefs or advice based on templates and client data. The lawyer adjusts and finalises – typing time is halved.
Customised for your firm
We train AI on your house style, standard clauses and formulations. The result: documents that are immediately recognisable as being from your firm.
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AI expertise for LegalTech
From concept to implementation.
We combine technical AI knowledge with understanding of the legal sector. Our approach: start small, deliver value fast, and scale up what works. Whether you want to automate contract analysis or build a complex legal research tool – we think along and build through.
"AI and machine learning as legal tools"
In 2020, we transferred the development of Lynn to Spartner. As a result of their fast development process, the Lynn platform achieves an increasingly central role in the legal world.
Lynn, the smart AI legal robotMarco Caspers Software Development Manager at Lynn Legal
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"Innovation in legal technology"
As jurists with knowledge of IT, we highly value quality; within code, but also in process. The high work-level and trustworthiness of Spartner gives us the capacity to continuously create innovative features.
Legal tech platformNiels Winters Managing Director JuriBlox
"Pragmatic and flexible collaboration"
Spartner has created a customized portal for us for the accountability of large-scale collaborative projects. This enables us and our partners to execute and account for their plans in a shared environment that is secure, transparent, and manageable. The pragmatic and flexible collaboration with Spartner has ensured that we have quickly achieved a functional and user-friendly environment.
Jurjen Terpstra Managing Partner at Wecreate Consulting
Frequently asked questions about AI in the legal sector
Confidentiality, professional rules, integration – we understand there are many questions. Here are the most common ones.
What about client confidentiality?
Confidentiality comes first. We exclusively work with AI models that do not use data for training, or we host locally on your infrastructure. All solutions comply with GDPR and professional conduct rules.
Can AI make legal errors?
Yes, and that's why we position AI as support, not replacement. The lawyer remains ultimately responsible. AI delivers drafts, research and suggestions – the human verifies and decides.
Does this work with our document management system?
Almost always. We build integrations with common DMS systems like iManage, NetDocuments and SharePoint. In an initial conversation we map out the technical possibilities.
What does an AI implementation cost?
We often start a proof of concept from €10,000 to €25,000. Full implementations vary greatly depending on scope and integrations. We work transparently with fixed prices or time and materials.
How long before we have something running?
A working prototype is often ready in 4-8 weeks. From there we iterate towards production-ready. Our approach: start small, deliver value fast, expand what works.
Can we train AI on our own precedents?
Absolutely. We can train AI on your standard contracts, house style and formulations. The result: output that directly matches how your firm works.
