Due Diligence

Definition: Due diligence is the investigation or exercise of care that a reasonable business or person is normally expected to take before entering into an agreement or contract with another party or an act with a certain standard of care.


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 ayfie automates the highly manual process of going through often massive amount of data in a Due Diligence process.

  • Easy data collection: Select data from over 80 sources, including file servers, Virtual Data Rooms or other repositories where the documents are held.
  • High-speed filtering: Leverage ayfie’s linguistic toolset to gain rapid insight of the data via search and automated entity extraction.
  • Highlight important content: While previewing documents, you can make annotations for further reference by M&A teams.  
  • Tag relevant results: Tag documents on the fly to sort content and create work packages for colleagues.  
  • One-click timeline creation: Simply add relevant documents to a timeline to graphically present them in chronological order.
  • Add interesting notes: At any time you may add additional notes to a document or timeline.
  • Customize the timeline: Easily re-arrange documents according to their real dates – even add custom events, e.g. calls.
  • Export all data: Export all relevant documents, timelines, associated notes, annotations, and tags to PDF or Excel or feed the data into a virtual data room, such as HighQ or Ruby Datum.

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It can all be much easier!

ayfie's flexible processing pipeline efficiently produces document sets for further review.


  1. Select
    the relevant documents for an initial data set.

  2. Reduce
    the data by applying ayfie's text analytics toolset.

  3. Code
    the remaining documents by adding notes, tags, and annotations.

  4. Rearrange
    documents according to specific dates within a timeline.

  5. Produce
    a document set and export it to a virtual data room.

 

Now it’s possible to build timelines with one click and then augment or modify documents.

ayfie's proprietary NLP technology crawls the contents of all selected files and automatically extracts dates as well as key entities including persons, locations and organisations. This allows for a more rapid discovery process. The timeline can be built based on the date of document, a date mentioned within a document or a custom date set by the user. 

In addition, team members working on the case or transaction can add and review annotations, notes, and tags - which are layered on top of the source document. 


Timeline view

note
Add notes

date
Adjust date

annotate
Add annotations

Related Case Studies

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