Data, knowledge, independence – how to build the foundations for using AI
About this event
Data, knowledge, independence – how to build the foundations for using AI
Artificial intelligence does not operate in a vacuum. It operates on the basis of data. And it is precisely this data – its quality, structure and availability – that determines whether AI will become a genuine competitive advantage for your law firm, or remain a costly experiment.
The data used by AI systems in the legal environment can be divided into two fundamentally different types.
The first is external data: case law databases, legal acts, commentaries, and doctrinal publications. These are valuable, but also widely available – and that is precisely why they do not create an advantage. Every law firm and every lawyer has access to it.
The second type is internal data: your own cases, letter templates, established operating standards, and know-how accumulated over the years. Only one law firm has access to this – yours. And this is where the real value lies.
The problem is that in most law firms, these internal knowledge resources are scattered, unstructured and practically inaccessible to any AI system. They are stuck in email inboxes, local folders, and the minds of departing lawyers. For AI to be able to use them, this data must be collected, organised, processed and stored in a format that allows for further processing – regardless of which AI system is used for this purpose.
The latter is crucial. A law firm that builds its own, well-organised knowledge base will gain more than just the ability to use AI – it will gain independence from any specific provider. Instead of being tied to a single system and its model, it will be able to connect a different tool at any time, change providers, or test a new solution. Owning your own data means freedom.
At the same time, more and more lawyers are recognising the real limitations of artificial intelligence. AI is powerful where flexibility, interpretation and working with ambiguous contexts matter. But in processes where full repeatability, precision and the absence of any errors are key – AI fails or requires such intensive verification that it ceases to save time. Paradoxically, the popularity of AI has served as a reminder of the existence of a whole class of tools that have remained in the shadows in recent years: programmes enabling fully deterministic automation of legal processes, in which AI appears only occasionally and solely in a supporting role – where its results are easy to verify and control.
This meetup aims to review various approaches to these issues. We want to showcase and discuss products that help organise legal data, as well as its collection, processing and storage in a form ready for further use by AI systems. We want to discuss best practices in know-how management in a world where AI is becoming an everyday tool for lawyers. And we want to talk frankly about when AI really helps – and when good old automation is better.
The meeting will be held in English – and this is no coincidence. The Polish legaltech market is no longer a closed market. More and more tool providers from around the world are looking to Poland: seeking clients, ideas for further development, and intellectual resources that can enrich their own products. Poland is becoming a place where legal technology is not only implemented, but also co-created. This makes this conversation even more valuable – and even more necessary.
Agenda:
- Marek Laskowski (DZP) - welcome words
- Karolina Silingiene (Crespect) - From Practice Management to Practice Intelligence: AI intelligence based on firm’s operative data
- Zbyszek Konieczny (Konieczny Consulting) - The Legal House - What software does every law firm need?
- Aku Sorainen (Sorainen) - Is it possible to run a profitable law firm without data?
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The partners for this meetup are:
- DZP Law Firm, which is hosting the event
- Crespect, which is helping with the organisation and providing refreshments
The event is hybrid: at DZP's office and online: https://teams.microsoft.com/meet/31418928123363?p=U5wDF1uohB1mDxC5EK
Source: meetup