// AI for Businesses

How to choose an AI implementer for the legal industry?

Jak wybrać wdrożeniowca AI dla branży prawniczej? - grafika kluczowa artykulu

The market for AI tools for lawyers is growing at a rate of several dozen percent per year. Each month brings new suppliers, new platforms and new promises: „artificial intelligence will analyze the contract in 30 seconds”, „AI searches case law for you”, „automate 40% of the law firm's work”. Some of these promises are real. Some of them are wrapped ChatGPT with the law firm's logo.

The problem is that choosing the wrong AI provider in the legal industry isn't just a waste of money. This is a legal, reputational and operational risk. A lawyer who signs an AI-generated paragraph under a letter citing a non-existent judgment has a problem. A client whose data is processed by an unconfigured tool without DPA, too.

This article shows how to choose an AI supplier for a law firm that actually understands the specifics of law, offers the right technical architecture and does not expose you to the risks that AI was supposed to eliminate.

Why is AI for the legal industry a separate category?

A law firm is not a standard B2B company that needs invoicing automation. Legal work has three features that make general AI tools fail:

Precision is a sine qua non. In marketing, AI can „hallucinate” and write an incorrect claim, which you edit before publication. In law, AI that quotes a non-existent judgment or incorrectly interprets a provision leads to real harm to the client and the lawyer's professional liability.

Data is sensitive by definition. Every case, client, contract and correspondence is subject to attorney-client privilege. Processing them through a tool without clear security guarantees, data localization and a DPA is a breach of professional obligations.

Domain knowledge is Polish law, not English law. Most AI models available on the market were trained on English-language legal data. Polish law, the jurisprudence of the Supreme Court and the specificity of the national legal system are separate knowledge that cannot be replaced by a model trained on case law from England.

What does an AI provider for a law firm have to offer?

Before we move on to specific solutions, it is worth defining the minimum requirements. The following six criteria are a filter that every supplier should be put through during the evaluation phase.

What does an AI provider for a law firm have to offer?

🔒
Data security and confidentiality
The law firm's client data is sensitive. Check where they are processed: EU, local or in the USA? Does the supplier sign a DPA / GDPR agreement?
ABSOLUTE REQUIREMENT
📚
Domain knowledge: Polish law
AI trained on English data does not know the Commercial Companies Code or the case law of the Supreme Court. Ask about the knowledge base and document sources.
ABSOLUTE REQUIREMENT
🔗
RAG Architecture
Retrieval-Augmented Generation: AI reaches for current documents instead of „hallucination” of non-existent regulations. The only right architecture for law.
ABSOLUTE REQUIREMENT
🔄
Updated recipe database
The law is changing. Check how often the database is updated and whether the supplier monitors legislative changes automatically.
IMPORTANT
⚙️
Integration with office systems
Does the tool integrate with Lexis Nexis, office systems, DMS? The less context switching, the greater adoption by lawyers.
IMPORTANT
📊
Transparency of responses
Each AI response should indicate the source (article, regulation, ruling). Without citations, it is difficult to verify accuracy and there is legal risk.
ABSOLUTE REQUIREMENT

RAG: why is this the only right architecture for law?

RAG, i.e. Retrieval-Augmented Generation, is an architecture in which the AI ​​language model does not respond solely from the knowledge „uploaded” during training, but in real time it reaches documents from the knowledge base, quotes them and formulates an answer based on them. For the law, this means a specific difference:

Classic GPT model asked about art. 415 of the Civil Code will give you something that sounds like Art. 415 of the Civil Code, but it may be out of date, badly paraphrased or simply made up. The RAG model retrieves the current text of the recipe from the database, quotes it verbatim and indicates the source. A lawyer can verify your answer in 10 seconds.

When a rule is changed, the classic model „does not know” about the change until the next retraining, which may take place in months. The RAG model with an updated database knows about the change within days of its entry into force. This is a key difference in a dynamically changing legislative environment.

Prawbot.pl: ready-made RAG system for law firms

One of the first Polish systems built in the RAG architecture for the legal industry is Prawbot.pl. It is a platform designed from scratch with law firms and corporate legal departments in mind, and not a general AI tool adapted for legal purposes.

Prawbot works on the Polish database of legal acts and case law, updated on an ongoing basis. Each answer includes a citation with the source: legal act, article, date. Law firms can also feed the system with their own documents, templates and procedures, thanks to which AI becomes an assistant that „knows” the specifics of a specific law firm, and not just general law.

For law firms that want to start working with AI quickly, without involving IT and without a multi-month implementation project, Prawbot.pl is a natural starting point. The subscription model means a low barrier to entry and the ability to assess value before you decide on deeper integration.

RAG made to order: when is an off-the-shelf tool not enough?

Ready-made platforms like Prawbot.pl have their natural limitations. They work great within the scope for which they are designed, but they will not replace a system built for a specific law firm, its internal processes and existing tools.

Custom-made RAG makes sense when a law firm needs: full integration with its own DMS or office system, AI feeding with an internal knowledge base (thousands of cases, templates, procedures), its own interface integrated with the lawyers' daily workflow, or when the scale of the law firm justifies a one-time investment instead of a long-term subscription.

W jsoncrew we build RAG systems to order for law firms and legal departments that have specific technical or process requirements. The project begins with an audit: what the law firm has (what documents, what systems), what it wants to achieve and what security requirements apply. On this basis, we design the architecture and estimate the cost before the decision to implement is made.

Two approaches: which one suits your law firm?

The list below will help you assess which solution is appropriate at a given stage. Many law firms start with a ready-made tool to understand how AI changes everyday work, and after 12-18 months they decide on their own, integrated system.

Two approaches to AI in the law firm

Ready-made specialized tool vs. a system built for specific needs

Prawbot.pl
Ready-made RAG system for law firms
Implementation time
Weeks, not months
Knowledge base
Ready: Polish regulations, case law, updated on an ongoing basis
Startup cost
Lower, subscription model
Adjustment
Configuration within the platform, advanced personalization limited
For whom
Law firms that want to act quickly without involving IT
Check out Prawbot.pl →
RAG made to order
jsoncrew.com - a tailor-made system
Implementation time
2-4 months from design to production
Knowledge base
Built from law firm documents: internal templates, cases, procedures
Startup cost
Higher, one-time, no subscription after implementation
Adjustment
Full: integration with DMS, office system, own UI
For whom
Law firms with unique processes or the need for integration with existing systems
Ask about custom RAG →

How to evaluate an AI provider before signing a contract?

Regardless of whether you choose a ready-made platform or a custom-made system, the following questions should be asked during the first meeting. The quality of the response will tell you more about the supplier than any presentation.

8 questions you need to ask an AI implementer before you sign a contract

Use as a checklist when talking to suppliers

1
Where is my customer data physically processed?
The answer „in the cloud” is not enough. Ask about the region, provider (AWS/Azure/GCP), whether data goes outside the EEA and whether an on-premise environment is possible.
2
Will they sign a GDPR-compliant DPA and specify the data retention time?
Not being ready to sign the DPA is a red flag. The law firm, as the data controller, is responsible for each processing entity.
3
Does the system use the RAG architecture and if so, where does the knowledge base come from?
RAG means that the AI ​​quotes real documents. Ask about the sources: is it the Journal of Laws, Supreme Court/CJEU case law, other? How often updated?
4
Does each answer include a citation to a specific source and article?
Without sources, the lawyer cannot verify the answer. AI without citations in a legal context is dangerous.
5
How does the system cope with the latest legislative changes?
Request a demonstration of a recipe that has changed in the last 60 days. Check whether the system knows about the change and whether it quotes the new version correctly.
6
Is it possible to feed the system with internal documents of the law firm?
The greatest value of RAG is working on its own knowledge base: contract templates, internal procedures, historical matters. Check if your provider supports it.
7
What integrations does it offer with the systems used by the law firm?
Lexis Nexis, Legalis, office system, DMS. The less context switching, the greater adoption by lawyers.
8
What does SLA look like and who is responsible for AI substantive errors?
One incorrect paragraph can cost the client a lost case. Check contractual liability provisions and escalation procedures.

Summary: AI in a law firm is an investment in quality, not a replacement for a lawyer

The best law firms are no longer asking „should I implement AI”, but „how to implement AI responsibly?” The difference lies in selecting the right tool for the right problem: a ready-made RAG platform when the priority is the speed of start-up, or a custom-made system when the priority is full integration with the law firm's processes.

If you would like to discuss which approach suits your situation, or perhaps build your own RAG system integrated with your law firm's documents and processes, Let's talk.. We can also help you assess whether Prawbot.pl covers your needs, is it worth considering a dedicated solution?.

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