Easily produce a document set from case data with additional comments and annotations.
Early Data Assessment
Definition: Early Data Assessment provides a comprehensive overview of the content and context of a collection of electronically stored information at the beginning of the life cycle of litigation, audit or investigation. By understanding the data at an early stage, parties can begin to quantify information that may need to be uncovered.
ayfie optimizes the highly manual process of producing a document set for a case matter.
Easy data collection:
More than 80 data sources can quickly be selected to create an initial data set.
Leverage ayfie's linguistic toolset to only select inclusive mails, remove duplicate documents, exclude spam, and filter on automatically created entities.
Highlight important content:
While previewing documents, you can make annotations for future reference by project 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 of a case matter 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 review platform.
It can all be much easier!
ayfie's flexible processing pipeline efficiently produces document sets for further review.
Select the relevant documents for an initial data set.
Reduce the data by applying ayfie's text analytics toolset.
Code the remaining documents by adding notes, tags, and annotations.
Rearrange documents according to specific dates within a timeline.
Produce a document set for export to PDF or a review platform.
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.
Related Case Studies
Take a look how our customer apply our solutions
Notice: Use of undefined constant length - assumed 'length' in /var/www/html/site/assets/cache/FileCompiler/site/templates/_func.php on line 475
We understand that starting a process like that can be demotivating because you know it will take time and that you will have to be both strategic and detail-oriented. Read how ayfie strived to cut down the time needed to sift through documents but also maintain the attention for detail required with these processes.