In legal study as well as in legal practice, many laws are needed to solve cases. Legal practitioners thus often run at risk of not having the required laws at hand - or are forced to carry the relevant laws in heavy compilations. The prevalence of smartphones, eBook readers and tablets provides ideal conditions for the daily use of an electronic law collection, since just about every legal practitioner has one of these devices in his or her pocket at all times.
In practice, a market for numerous apps has formed. Yet all apps face the same obstacles:

  • navigation within the individual laws is inconvenient and
  • many compilations do not reflect the user's needs.

Therefore, the Institute of Legal Informatics has created an open-source, cross-system solution: Laws in ePub format.

Easy navigation between norms within the code

Finding the relevant norm as quickly as possible is one of the greatest challenges for legal practitioners. That is why GesetzMobil relies on a new navigation system.
The paragraphs of a code are arranged in tables and linked for direct access. This system makes it possible for the user to reach every norm in the BGB (German Civil Code) with its approximately 2,400 paragraphs within 3 clicks - much faster than classical book browsing.

Separate codes for SBP5 and SBP9

For the elective subject areas 5 and 9 of Saarland University`s faculty of Law, separate codes containing all the relevant laws are available, thus ensuring that students always have access to all relevant laws when legal issues are being discussed.


BMAS: ExamAI – KI Testing & Auditing

In the BMAS (Federal Ministry of Labour and Social Affairs) project "ExamAI" Professor Borges' chair develops concepts for auditing and certification of AI applications. Further information: ExamAI


Legal Testbed

The chair of Prof. Borges is developing solutions for Industry 4.0 through the project "Recht-Testbed Industrie 4.0" funded by the Federal Ministry of Economics and Technology (BMWi). More...


As part of the »INITIATIVE« project Professor Borges' team is working on AI-supported communication for autonomous vehicles in traffic. Click here to learn more...

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