47% of companies worldwide believe they have experienced fraud in the past 24 months (PwC Fraud Report, 2020).
Fraud has a significant economic impact on businesses, with an estimated loss of $42 billion by 2020. In the context of crisis management or regulatory investigations, companies are faced with an exponential volume of data to analyze and investigate.
Worldwide, an estimated 2.8 million emails are sent every second, increasing the workload for companies in eDiscovery.
With Connected eDiscovery, put technology at the service of these digital investigations and drastically increase your internal investigation capabilities.
Benefits of Connected eDiscovery
Manage all aspects of electronic documents collection and analysis with a simple, user-friendly interface, automated workflows and data analytics.
Optimize AI review of electronic documents by taking into account the contextual meaning of words in documents.
Reduce your manual document review effort by 80% with our powerful forensics algorithm to minimize false positives and save time.
Automatic filtering and analysis of electronic documents
From your data, the solution automates the filtering and contextualization of collected electronic documents (emails, network drives, computers...) using tools such as character recognition. Connected eDiscovery guides you through each step of the review process, from the technical processing of the data to the production of the documentation of your investigation.
Facilitation of the investigation
Connected eDiscovery allows you to process an end-to-end electronic document review. The solution includes a document review interface that allows you to assign files to be reviewed to one of your collaborators, to facilitate the review work (adding "tags"...) and to monitor the progress of the work. In addition, if you feel the need, our experts can assist you in reviewing the documentation related to your investigation.
Based on the in-depth analysis of your data, our solution facilitates the production of documents and makes them available to your customers.
- 500 GB of data
- 25 data sets
- 15 analyses
- 10 document productions
- 3 users
- 1,000 GB of data
- 40 data sets
- 30 analyses
- 15 document productions
- 3 users
- 5,000 GB of data
- 100 data sets
- 75 analyses
- 40 document productions
- 20 users
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What is fraud?
Although there is no official definition of fraud, it could be defined as "an intentional act carried out by an employee (internal fraud) or a third party (external fraud) in order to obtain an advantage, generally financial, through an illicit process".
This category includes : misappropriation of assets (illegal transfer of property from the company's assets to those of an employee, a third party or another company), accounting fraud (intentional manipulation of the company's accounts in order to give it a more flattering image), customer fraud (fraud for which the company's customers are the cause).
This is a type of external fraud such as bank card fraud, insurance fraud or the production of false documents in order to obtain a loan or a telephone subscription, for example), corruption (the act of offering, giving, receiving or soliciting something of value in order to influence a decision or to obtain an advantage, generally financial), purchasing fraud (fraud consisting of biasing the choice of a supplier within the framework of a call for tenders, among other things), (fraud consisting of biasing the choice of a supplier in the context of, among other things, a call for tenders, which, in the end, generally leads to overbilling for services rendered), intellectual property theft (fraud which consists of stealing the fruit of a work of the mind or the enjoyment of a property which is opposable to all, without prior authorization from the author or his successors) but also the misappropriation of customers, the misappropriation of personnel, tax fraud and, more globally, all ethical alerts.
What the is electronic documents review?
In a context where the volume of documents to be analyzed is considerable, the investigation often takes a "technological" turn which materializes both in the phase of identification and centralization of relevant data and in the phase of processing of these data ("e-discovery").
E-discovery covers the entire chain of processing documents to be reviewed, from information management to making the relevant documents available on a review platform.