AI covers a broad range of technologies, while an LLM is a model specialized in working with language.
The model does not know a specific law firm's case files on its own.
An agent uses the functions, data and integrations made available by the system.
Artificial intelligence is becoming increasingly common in software for lawyers. It can summarize documents, analyze legal filings, organize notes, answer questions and help prepare documents.
However, it is easy to get the impression that AI is one highly intelligent program that “knows everything”.
That is not the case.
It is useful to distinguish between three concepts:
- AI, or artificial intelligence,
- LLM, or large language model,
- a system that uses an LLM, such as BezpiecznaKancelaria.pl.
This distinction matters to lawyers because it affects not only how AI works, but also the security of the law firm's data.
What is AI?
AI, or artificial intelligence, is a very broad concept.
It includes technologies that can perform tasks that previously required human involvement, such as:
- recognizing speech,
- analyzing images,
- classifying documents,
- identifying patterns in data,
- translating text,
- generating responses,
- analyzing language.
An LLM is therefore one type of artificial intelligence.
Not every AI is an LLM.
What is an LLM?
LLM stands for Large Language Model.
Put simply:
An LLM is a highly advanced tool for working with language.
The model was trained on a vast amount of text and learned the patterns found in language.
This allows it to:
- answer questions,
- summarize,
- compare texts,
- organize information,
- prepare draft documents,
- analyze the provided material,
- understand instructions written in plain language.
However, this does not mean that an LLM thinks like a human.
It is not conscious. It does not know a specific law firm on its own. It does not know which documents are in a specific case file.
It knows what it learned from its general training and from the information provided for a specific task.
This second element is the most important for Bezpiecznej Kancelarii.
An LLM knows what we provide to it
Suppose a lawyer asks:
“Do we have a signed power of attorney in the Kowalski case?”
The LLM itself does not know the answer.
It does not have inherent access to the law firm's database or documents.
But the system can first find the right case, check the documents and prepare the information needed to answer.
Only then does the LLM receive the right context and can answer, for example:
“The case file contains a signed power of attorney.”
It can also indicate that no such document was found.
At this point, the LLM does know the case file to the extent needed to answer the specific question because the system has provided it with the relevant information.
This is an important distinction.
We do not claim that our LLM does not know the case files.
We claim something else:
we do not automatically provide it with entire volumes of case files when a small amount of information is enough to answer the question.
Why don't we send everything?
Technically, a very large amount of data could be provided to the model with every question.
Entire case files.
All documents.
Notes.
Transcripts.
The client's history.
But a law firm has no reason to disclose more information than a specific task requires.
If the question concerns one document, the model does not need the case files from ten other matters.
If the answer can be found in a few excerpts, there is no need to provide hundreds of pages.
This does not limit the LLM's capabilities.
It is a principle of security and data minimization.
The model should receive as much information as it needs to follow the instruction - but no more simply because it would be technically possible.
So what is AI in Bezpiecznej Kancelarii?
At BezpiecznaKancelaria.pl, the LLM is one component of a larger system.
It is not the entire system.
It does not manage the database on its own.
It does not decide on its own what it should have access to.
It does not automatically receive a key to all the law firm's documents.
Bezpieczna Kancelaria acts first.
The system can then:
- identify what the user wants,
- retrieve the relevant data,
- check permissions,
- prepare the necessary context,
- run the appropriate function,
- provide the LLM with the information needed to prepare a response.
Only then can the language model process the data and present the result to the user in natural language.
Put simply:
traditional software retrieves and controls the data, while the LLM helps interpret it and present it to a person.
The LLM can also operate the system
In Bezpieczna Kancelaria, AI does not have to be used solely for conversation.
It can also provide a natural interface for the software.
A lawyer can say:
“Show me my hearings for next week.”
The system will retrieve the data from the calendar, and the LLM will present it clearly.
They can say:
“Open the Kowalski case.”
If the relevant function is available, the system can run it.
They can also ask:
“Prepare a summary of the latest client meeting.”
The system can then retrieve the relevant transcript and provide the model with the material it needs.
Depending on the request, the LLM can:
- answer a question,
- help find information,
- run a Bezpieczna Kancelaria function,
- use a specialized agent,
- ask the user to clarify the request,
- decline to perform an operation if the system does not yet support it.
That last point is important.
If a user asks for something we have not yet programmed, the agent should not pretend that it has completed the task.
It should clearly state that the capability is not yet available.
This does not mean that the LLM “did not understand.”
It may understand the request perfectly, but the system does not yet have the function needed to carry it out.
The agent can learn more over time
The agent in Bezpieczna Kancelaria will continue to be developed.
Over time, it can gain access to more functions and perform increasingly complex tasks.
It can also analyze a very broad range of data if the user specifically requests it.
For example, the request:
“Analyze all of this client's cases and prepare a summary of the key risks”
requires much broader context than the question:
“Is there a signed power of attorney in this case?”
In the first case, the system may prepare a large amount of material.
In the second, that is not necessary.
Ultimately, the agent can be very well informed and perform complex tasks.
But it does so at the user's request and only to the extent required by the specific task.
Not because the model has unrestricted access to everything at all times.
The agent operates in a controlled environment
The model can use the functions, data and integrations made available to it by Bezpieczna Kancelaria.
It should not expand its permissions on its own.
It cannot simply decide that it needs access to another system or that it will send information wherever it chooses.
The scope of its operations is defined by the architecture of Bezpieczna Kancelaria.
This is a crucial difference between a language model itself and a system that uses one.
The LLM may be highly advanced, but its operating environment remains under the system's control.
Can an LLM make mistakes?
Yes.
An LLM is still a language model.
It may misinterpret part of a document, overlook an important detail or draw an overly broad conclusion.
That is why AI should support lawyers, not assume their responsibility.
The system can find information, prepare summaries and assist with analysis much faster.
But the final assessment remains with the person.
In legal practice, an answer should not be considered true just because it sounds professional.
It should be based on data.
The key distinction
It can be summed up in three sentences.
AI is a broad group of technologies that perform tasks associated with intelligence.
An LLM is a type of AI specialized in working with language.
Bezpieczna Kancelaria is a system that uses an LLM while controlling the data, permissions, functions and context provided to the model.
That is why Bezpieczna Kancelaria is not simply a chatbot connected to documents.
The software system acts first.
The system knows where the data is stored, what permissions the user has and what information is needed to carry out the request.
Only then does the LLM use the prepared context to understand the request, analyze the material or present the result in natural language.
This combination of traditional software and the capabilities of language models is what allows AI to become a practical tool for law firms.
The goal is not for the agent to know everything at all times.
The goal is for it to know exactly what it needs to complete the task - when the user needs it.