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From Corrs Enterprises:
CASEFOLIO is a smart, simple and secure way of taking all of your paperwork with you minus the paper! Designed by lawyers, CASEFOLIO is THE app for mobile legal review. -SMART-PDF viewer apps are a dime a dozen, but how do you capture the decisions you make about each document? CASEFOLIO captures your decisions as you move through a document set in an intuitive and user-friendly manner. Using our companion CASEFOLIO CONVERTER software you can generate import packages straight from a folder of PDFs. You can also import metadata for each PDF by including this information in a CSV file.When your review is complete, simply export your document set and, using our companion CASEFOLIO CONVERTER software, produce any of: A simple html report and folder of PDFs A CSV file containing all metadata for each document, plus a folder of PDFsCASEFOLIO information and support is available at casefolio.netBut maybe you already have a reviewed set of documents that need to be verified before an affidavit of discovery is sworn. Or, maybe you have a set of documents that are needed to depose a witness. Import the metadata that is already associated with these documents straight into CASEFOLIO! CASEFOLIO is designed to extend the functionality of leading litigation review platforms by letting you import PDFs plus any notes and other metadata that are already associated with each document. Using CASEFOLIO CONVERTER PRO you can generate import packages straight from the export files of industry leaders FTI Ringtail, kCura Relativity, AccessData Summation and eDiscoveryTools Reviewer. When your review is complete, simply export your document set and, using our companion CASEFOLIO CONVERTER PRO software, produce any of: A simple html report and folder of PDFs A CSV file containing all metadata for each document, plus a folder of PDFs An export.mdb load file and folder of PDFs suitable for importing straight into FTIs Ringtail platform or eDiscoveryTools' Reviewer platform A relativity.dat load file and folder of PDFs suitable for importing straight into kCuras Relativity platform A delimited_data.csv load file and folder of PDFs suitable for importing straight into AccessDatas Summation platform-SIMPLE-CASEFOLIO has been built from the ground up for one purpose: To capture your decisions about documents. To this end:Documents are stored locally: Have your 10 (or 100,000) key documents with you wherever you go Long flight? Leave the binders and folders at the office (your seat-mates will thank you!) No losing your network connection while waiting for a document to be pulled down from the server (Sorry your Honour, my connection has timed out...)Coding is captured locally: Capture relevance calls, and privilege and confidentiality claims while you are viewing a document Highlights, Ink annotations, Sound clips, Bookmarks and Text notes are embedded in your PDF when exportedUse Filters to view: Relevant, privileged, confidential or favourited documents Pre-defined custom collections and custodians Combine date, file-type, collection and custodian filters to pull up the exact documents you are looking for, every time.Use Search: within a single document to identify a term or phrase globally across your entire document collection to view all documents containing a specific term or phrase across annotations and certain metadata fields associated with each document in your collectionOr sort by: Title Date DocID (Bates number) -SECURE-Protect your clients data and your work product! CASEFOLIO CONVERTER will optionally secure your PDFs using 128-bit AES encryption.Remember, your data is only as safe as the strength of your password! Using complex passwords to secure your device AND your documents keeps your data and your clients data safe from harm.
- iOS 8 compatibility- New and improved search functionality including improved content searching within filtered document sets- Fixed bug with imports and exports of folios larger than 2GB- Several bug fixes and performance improvements- Exported packages are now time-stamped for easier identification