Skip to main content

Training of the AI by users

possibilities of users training the AI within Legartis

Updated over a month ago

Managing the AI models is only done internally at Legartis, since this is a very complex and elaborate process best handled by our experts.

However, users have indirect ways of influencing the quality of their experience and the performance of the AI:

1. Reviewing test sets

Users can significantly influence the quality of their experience with Legartis by regularly reviewing and maintaining the test sets in their playbooks.

  • Result: This measure simultaneously improves the quality of the playbook and the performance of the AI when reviewing documents.

2. Providing feedback

Users can provide feedback on the performance of the AI.

  • Result: The Legartis product team uses this feedback to specifically improve the quality of the AI.

Did this answer your question?