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Training for the team

AI training for lawyers

We prepare workshops for working with documents for law firms and legal departments. Participants practice comparing records, collecting questions for the client and preparing an explanation for a person outside the legal team. The price starts from €1,150 net per day. We agree the program and materials with the person responsible for the team's work.

net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days
conversation with an engineer and a written plan within 2 business days
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Statistics

How much does AI training for lawyers cost and when does it pay off?

Short answer

AI training for lawyers costs from €1,150 net per day. In our Polish cost example, a PLN 4,900 training fee pays back in 2.6 months: 10 people save an hour a week, and after the licenses they have PLN 1,905 left per month. Lawyers practice document collation, comparison of contract versions and source control. We measure task time before the training and after 30 days.

70,9%

According to Eurostat (2025), 70.9% of companies in the EU that have considered AI but are not using it cited a lack of knowledge within the team as the reason.

Source: Eurostat, AI in enterprises (2025) ↗

Figures checked: 22 October 2026

Scope step by step

Comparison of the Agreement with the Client's Terms

The exercise starts by indicating the documents on which the answer can be based. The participant asks the AI to prepare a list of differences, then checks each item in the text. They also mark issues that the materials do not resolve. The instructor discusses the way of asking the question and the control of the answer; the legal assessment is provided by a lawyer.

Let's assume the client agreed to the possibility of termination after a trial period, and the draft agreement only describes the termination date. The AI may treat both provisions as an answer to the same question. The participant is to point out the lack of agreement in the draft and prepare a question for the client. The instructor discusses how to change the instruction so that the list also shows the missing terms.

Explanation for the Case Handler

The next module concerns shortening the material to the message that the recipient can use when making a decision. The author separates the content of the document from their own assessment. They check whether the simplification preserves the reservations and whether the question to the client is understandable without reading the entire correspondence.

Feedback refers to parts of the participant's work: omitted conditions, too broad conclusions, or a quote without indicating the source. After correction, one can move on to a new document with a different structure of provisions. A self-directed attempt shows whether the participant can apply the method outside the example discussed with the instructor.

Group Composition and Materials

Lawyers handling cases and people preparing documents may need a different level of detail. Before the workshop, we establish the type of work and experience in using AI. A beginner should have time to handle the tool; a regular user can work on more complex material.

The company approves the tool and the rules for using documents. For the session, one can prepare a fictional agreement with a deliberately left discrepancy. There is no need to send client documents for an initial discussion. If the program is to include real cases, the scope of data and access is agreed upon in advance with the office or legal department.

What We Agree on in the Offer

The pricing determines the preparation of materials, the duration of the session, and the way of discussing the work. Additional sessions and support after the workshop require agreement. Licenses are purchased by the client, and the configuration of the company's environment is a separate scope. The training does not include legal opinions on participants' cases or an assessment of the entire office's compliance.

Describe the document and the recipient for whom the team regularly prepares explanations.

From Note to Business Message

A note prepared with AI often goes to an older lawyer who reopens documents, reconstructs the basis of conclusions, and copies the explanation for business. The program focuses on materials that can be easily reviewed: organizing the case, indicating the basis of each conclusion, and the message for the recipient outside the legal department.

The instructor's comments concern texts that the team prepares on a daily basis. Before the session, we also check what the tool provides, which the office already uses.

How Much Does the Training Cost and When Does It Pay Off

The training starts at €1,150 net per day. We calculate the return on one case, without assumptions about the entire company.

Scenario: 10 people after training (Polish cost example, PLN)
Time saved
43.3 hours/month
Value of time
2,877 PLN
ChatGPT Business Licenses
250 USD (972 PLN)
Remaining after licenses
1,905 PLN/month

Return on training for 4,900 PLN

2.6 months

10 people × 1 hour weekly × 4.33 weeks = 43.3 hours. We cautiously assume an hour of time saved per person weekly and check it with time measurement of tasks before and after 30 days. An hour of work at 66.45 PLN is the average wage according to GUS from September 2026, including employer costs. Licenses: ChatGPT Business Standard 25 USD per place monthly, kurs NBP 3.8889 PLN. If the team already has licenses, the return is faster.

According to a study published in Science (2023), the time for writing tasks with ChatGPT has decreased by 40%. Therefore, the scenario adopts a cautious weekly hour and checks it with measurement.

Frequently asked questions

How much does AI training for lawyers cost?

From €1,150 net per day of sessions. The price of the program depends on the number of groups, the number of meetings, and the time for discussing the work. Tool licenses are purchased by the company.

Do we work on clients' documents from the law firm?

Exercises may use fictional documents. If the law firm allows its own materials, the rules for their use are agreed upon before the session.

Can the training take place online?

Yes. Sessions are conducted in the client's office in Warsaw or online, in a tool approved by the company.

„I already use AI.”

Your people too. Just no rules.

From our conversations with companies

5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.

In ESET survey (2026)

1 na 10 admits this in the survey.

Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.

Don't worry, we won't tell anyone :)

What do we see in companies that "already use"

  • Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
  • Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
  • Lack of company standards: everyone writes instructions in their own way, no one shares what works.
  • No rules for personal data, GDPR and company secrets.
  • No limits and no visibility: no one knows who uses AI, how much and for what.

62% Polish employees use AI at work · 27% companies have written rules for working with AI.

Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗

ChatGPT or Claude space review

Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.

€450 net

ChatGPT rollout →Claude rollout →

Training on your team's tasks, from €1,150 net per day.See range and price →

Scope and price

From €1,150 net per day

We determine the program, number of groups and time to discuss the work before the quote.

Claude Partner Network member

Denotes membership in Anthropic's partner program for Claude. Not an endorsement of Syntalith's services by Anthropic.

1:1 course participants

People we've trained one-on-one.

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗
  • „A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.”

    Hlib Utkin, public administrationHlib UtkinPublic administration
  • „I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.”

    Ivan Chepurin, Senior Software Engineer at ImmutableIvan ChepurinSenior Software Engineer, Immutable
  • „I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.”

    Oleksandr Usyk, co-founder and art director at jakotako.designOleksandr UsykCo-founder & Art director, jakotako.design

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.