bgevconsultancy keeps edited documents from poisoning legal AI answers
Accepted or rejected tracked changes now refresh the document behind the AI, while preserving earlier versions for download.
When a legal team edits a document in the product, the AI's search and citation layer can now be refreshed to match the approved text. That closes an important credibility gap: without it, an answer could point to language that had already been changed.
- Refresh after tracked changes: accepted or rejected edits trigger a new intake of the document, keeping search results and citations aligned with the current version.
- Downloadable version history: earlier document versions are retained as files people can retrieve.
This is careful, unglamorous work, but it matters wherever people rely on AI answers while documents are still moving through review.
So what Legal teams using in-product editing alongside AI research should care because reliable citations depend on the version of the document actually under review.
Spotted something wrong? Or know the PR text has fresher detail than the writeup above?