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Local AI for law firms: working through a case file

Short answer

Local AI in a law firm collects dates from the case files into a chronology, describes what they concern and keeps a link to the specific page. It marks an illegible date as unconfirmed, and a lawyer judges its legal meaning. An application on a local model costs from €3,000 net plus GPU hardware at Syntalith. At 150 case chronologies a month and 30 minutes each, it pays back in 1.7 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

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

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Law firms and AI: statistics 2026

1.7 mo.

payback of a €3,000 local application at 150 case chronologies a month: €2,618 of work today, €868 with checking and the GPU server. Scenario.

Figures checked: 22 October 2026

Three dates you must not swap

The first page of a letter carries the date 3 May. The second has a confirmation of receipt dated 5 May and a handwritten „Dispatch date” field that cannot be read. The PDF file has a different creation date in its metadata. The file creation date is about the file, and it gives no basis for filling in the dispatch date or changing the date of the letter.

A useful chronology shows the date of the letter from page 1, the date of receipt from page 2 and the dispatch date as unconfirmed, with a link to page 2. The person handling the case opens the page and sees why the date stayed unconfirmed. The link needs checking too, because pointing to the wrong page is a separate error.

A chronology from case files
  1. 01Readingthe text and the page image side by side
  2. 02Datesthe kind of date and the source page
  3. 03Illegiblemarked for checking
  4. 04Chronologyan entry with a link to the page
  5. 05Checka lawyer judges what the dates mean

What it costs and when it pays back

Scenario: 150 case chronologies a month
Today
150 case chronologies × 30 min = 75 h (€2,618)
With the application, an employee checks the result in 25% of the time
€654
Hardware in the firm, counted in the scenario like renting a GEX45 server
€214
Saving
€1,750 a month

Payback of €3,000

1.7 months

The volume, the time and the checking share are the scenario's assumptions, which we measure in the trial. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Price of the GEX45 server with 24 GB of GPU memory from Hetzner's website on 22 October 2026, excluding the one-off setup fee of €209. We price hardware in your own server room after a review.

The count covers the time spent searching, reading and compiling material. What remains is the time to check the result against the source, 25% of today's work in the scenario. We measure both times in a trial on 20 to 100 cases the team has already handled.

Weak scans and text recognition

A scanned page is an image, and OCR reads the text from it that the model receives. So an error can arise before the AI starts building the chronology. The trial needs access to both the recognised text and the page image, and the application marks illegible spots and lets you go back to them.

What to agree with IT besides the model
  • Where the application takes documents from and where it saves results
  • What stays in logs, backups and the question history
  • Who has access to questions, answers and outputs
  • Who updates the model, the application and the document set

One computer or several people working

If one person prepares the chronology, an application on their computer is enough, and the trial covers the usual start of work with the model loading. Microsoft describes Foundry Local as a solution on the user's device for one person using the model at a time. A shared solution for a team has to handle several jobs at once, which we check on the hardware planned for the firm. Choosing hardware is covered in the post on a model on a workstation or a server.

A workstation, a server or a service
  • One person prepares chronologies

    a model on that person's computer

    the cost of the workstation

  • The team works in parallel

    a GPU server in the firm or at a provider

    GEX45 at €214 a month

  • The files may go to a service in the EU

    a service with a data processing agreement

    no hardware

Where to start

The first trial covers the files of one case that the firm may use in the test. For each error we record the entry, the source cited and the correct information, to find out whether the reading, the kind of date or the page assignment failed. We deploy local models as part of private LLMs, and we build the view for working with sources as an AI app. For the free review, a description of one case and the places where the materials are kept is enough. Confidential files stay in the firm, and you receive the written plan within 2 working days.

Worked example · Scenario

How we count the payback: chronologies in a law firm

We run the same count for your firm in the free review.

€4,363

a month for the work on 500 questions

EU cloud version payback: 0.8 mo.

Our assumptions are 15 minutes to find a passage in case files and templates, and checking in 15% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer in the EU cloud version, at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the payback for an app with a model in the EU cloud (from €3,000 net). We price the model on your server after a call, and the cost of people's work stays the same.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
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 model on your server or in the cloud in the EU, proven on your tasks.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

Questions

  • How does AI help a law firm with case files?

    It collects dates from the files into a chronology with the kind of date and a link to the page, and it marks illegible spots for checking. A lawyer judges what the dates mean.

  • Will AI fill in an illegible date?

    No. It marks the date as unconfirmed with a link to the page, and the file creation date does not replace the dispatch date.

  • How much does such an application on a local model cost?

    At Syntalith, from €3,000 net plus GPU hardware, for example a Hetzner GEX45 server with 24 GB at €214 a month. At 150 case chronologies a month the payback is 1.7 months.

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
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
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.