- Metadata Extraction
- Keyword Search
- Full Text Extraction
- Compliance Management
- Case Analytics
Effortlessly retrieve crucial evidence and data analysis.
MailXaminer offers custom pricing plan
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MailXaminer is a powerful eDiscovery software. It automatically crawls the file shares, network drives and e-mail servers to extract the email messages from all the email stores. It provides various reports such as emails by sender, emails by recipient, emails ... Read More
Metadata extraction is a feature of software that allows for the automatic extraction of metadata from various types of digital files. Metadata, which stands for "data about data," is information that describes the characteristics and attributes of a particular file. This can include details such as the author, creation date, file size, and specific keywords associated with the content. The process of metadata extraction involves using algorithms and techniques to analyze the contents of a file and identify relevant information that can be used to create metadata. This
Keyword search is a powerful software feature that allows users to search for specific words or phrases within a larger collection of data. This could include web pages, documents, emails, and even entire databases. The purpose of keyword search is to quickly and accurately find relevant information based on the user's search terms. One of the main benefits of keyword search is its efficiency. By simply typing in a few words, users can narrow down their search and locate the exact information they need in a matter of seconds.
Full text extraction is a powerful software feature that allows users to extract relevant information from a large amount of text data, saving both time and effort. It utilizes advanced algorithms to identify and retrieve specific information from a document, such as keywords, phrases, or even entire paragraphs. One of the main advantages of full text extraction is its ability to quickly and accurately scan through large volumes of data. This can be especially useful for businesses and organizations that deal with a high volume of documents on a daily basis.
Managers plan, coordinate, regulate, and lead operations that assure compliance with laws and standards through compliance management. It is the process of continuously monitoring and evaluating systems to verify that they meet industry and security standards and corporate and regulatory policies and mandates. This entails assessing infrastructure to detect noncompliant systems due to regulatory, policy, or standard changes, misconfiguration, or other factors. Noncompliance can lead to penalties, security breaches, certification revocation, and other company consequences. Staying on top of compliance changes and updates keeps your business processes running smoothly and saves you money.
Case Analytics is a comprehensive feature that is designed to analyze cases and provide detailed insights, allowing users to make informed decisions and efficiently manage their operations. This feature integrates various data points and presents them in a user-friendly manner, making it a powerful tool for businesses of all sizes. With Case Analytics, users can track various performance indicators such as case volume, closure rates, and average handling time. This information is essential in identifying potential bottlenecks and streamlining processes to improve overall efficiency. Additionally,
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Disclaimer: Pricing information for MailXaminer is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
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+1 888 900 4529
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Location
Utah, United States
MailXaminer is a powerful eDiscovery software. It automatically crawls the file shares, network drives and e-mail servers to extract the email messages from all the email stores. It provides various reports such as emails by sender, emails by recipient, emails by mailbox, emails by size and emails by date range that enable to view data in different ways.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta