Document Review | Fieldfisher
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Large Scale Document Review

From supporting clients involved in active litigation, to clients who want to assess their data before bringing a claim, managing disclosure in international arbitration covering most of the main arbitral bodies, of which the arbitrations invariably involve a cross border element. And supporting Inquiries.


Subject Access Requests 

Managing request which have thousands of personal data records containing numerous data points. Using specialist technology to identify and automatically redact instances of personal data in a large dataset, particularly where huge volumes of third party personal data are concerned.


eDisclosure 

Our eDisclosure service covers a broad band, and our matters range from clients involved in active litigation, to clients who want to assess their data before bringing a claim. We have set up various Early Case Assessment work spaces for clients who are at the pre-CMC stage of their disputes.

How we can help you ...
An average of 20% of items are exact duplicates and removed during data processing
During data processing, our system identifies and eliminates exact duplicate items, which typically account for about 20% of the total data. This deduplication process ensures that your dataset is clean and free from redundancy, enhancing the accuracy and efficiency of subsequent analyses.
We achieve an average of a further 84% reduction in the number of items
Beyond removing duplicates, our advanced data processing techniques further reduce the number of items by an average of 84%. This significant reduction is achieved through intelligent filtering and consolidation, streamlining your data for more effective management and analysis.
Average completion on document review is 10 working days
Our document review process is designed for speed and efficiency, with an average completion time of just 10 working days. This rapid turnaround is made possible by our automated workflows and expert review protocols, ensuring timely and thorough analysis of your documents.
Case Study
Client Challenge
  • A former employee put forward a DSAR and the subsequent data collection searches yielded 99GB of data which was uploaded to the Condor Platform
  • Upon further identification of documents this subsequently expanded to 707GB equating to 232,000 documents requiring review
  • This large set of documents needed to be reviewed urgently to meet the compliance demands of the DSAR
Our Solution
  • Using AI enabled processing and analytics process we were able to remove duplicates and defensibly reduce the number of items requiring manual review to 1,518
  • This equated to a 99% reduction, within 48 hours of receiving the client's data
  • All relevant documents were reviewed by the project team within the tight parameters and delivered to the client for sign off
Our Value
  • Client response delivered within the statutory timescale 
  • The client saved thousands of review hours 
  • The client saved tens of thousands in review and delivery costs

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