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ExhibitManager / Causasoft

How AI makes legal research in large document collections much more efficient

Causasoft develops ExhibitManager, a specialized software solution for law firms and legal casework.

BitStone has been developing the platform for around eight years. In recent years, one focus has been on AI and natural language processing to make very large document collections searchable more quickly and precisely.

Build. | Grow.

Industry: Legal Tech

Challenges: AI with business value | Digital products & platforms | Process digitalization | Integration & data | Operation & continuous development

The challenge

Relevant information must be easy to find in large case files.

Law firms handle very large volumes of documents in complex cases.

The challenge is to identify relevant information quickly while meeting requirements for permissions, traceability, and different deployment environments.

Our journey together

Build. Grow. with targeted use of AI.

Build.

BitStone develops new platform features and integrates AI and NLP functionality.

Users can ask questions about large document collections and find relevant content using natural language.

Grow.

The existing solution is continuously developed and extended with new features.

These include document management, translations, auditability, and different installation environments.

The value for the customer

Less manual research. Faster orientation in the case.

For legal professionals, the solution means:

  • faster searches in extensive case files
  • less manual research effort
  • easier discovery of relevant information
  • traceable document processes
  • productive use of AI in a demanding specialist environment

AI is applied specifically where it supports everyday legal work.

A long-term digital partnership

Causasoft and BitStone have worked together for around eight years.

The platform is continuously developed and selectively enhanced with new technological capabilities.

ExhibitManager shows how AI can substantially enhance existing software while keeping its specialist and regulatory context in view.

Technologies used

C# | .NET | Visual Basic | Python | AI | NLP | Microsoft Azure | DeepL | Docker | Document management

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