Skip to main content
Revisory uses AI for document analysis. Here’s how it works and what control you have.

How is AI used?

AI is used in two areas:

1. Text extraction

After upload, AI extracts text from your documents:
  • PDF text recognition (OCR)
  • Structure recognition in tables
  • Conversion to a unified format

2. Evaluation

During analysis, AI evaluates each document against your defined evaluation steps:
  • Comparison with criteria
  • Scoring according to the defined scheme
  • Feedback generation

Which AI model is used?

Revisory uses modern language models (Large Language Models). The specific models may change to ensure the best quality.

Is my data used for training?

No. Your documents and analyses are not used to train AI models. The AI only processes your data to answer your requests.

Data processing by AI

When you start an analysis:
  1. The extracted text is sent to the AI system
  2. The AI system evaluates the text
  3. Results are stored
  4. The sent text is not stored or reused

Limitations of AI

Be aware of the limitations:
  • Not perfect: AI can make mistakes
  • Context: Highly specialized terminology may not be recognized
  • Interpretation: Evaluation depends on the quality of your criteria definitions
The more precisely your evaluation steps are formulated, the more meaningful the AI evaluations become.

Human control

AI is a support tool, not a replacement for human judgment:
  • Review results critically
  • Adjust evaluation steps if results don’t seem sensible
  • Use AI feedback as a starting point for your own assessments