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NOV LDM 29

LDMGlobalu2019s global team is highly proficient in optimizing and tailoring the latest e-Discovery technologies.<br><br>Our experts have extensive experience in managed review, AI analytics, eDiscovery, contract management, and forensics.<br><br>We develop cutting edge solutions within our unique Accelerator models.

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NOV LDM 29

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  1. eDiscovery Analytics Tools 101: Relationship Analysis and Conceptual Analysis

  2. Analytics in eDiscovery can help you gain efficiency in your review and locate key documents more quickly so you are able to make informed case strategy decisions earlier in the case.

  3. Note: This is the third part of a series about analytics in eDiscovery. Click here to read Part 1 on email threading and click here to read Part 2 on near-duplicate identification.

  4. Relationship Analysis Relationship analysis is an analytics tool used in eDiscovery review cases. The tool identifies who was taking to whom in your email data sets. But how can can relationship analysis help you in your matter?

  5. Another use case of the relationship analysis tool is to use the timeline graph to see spikes in communication. This may highlight when communication was suddenly high between key custodians. Going in the opposite direction, it may also give you information by what is lacking. For example, if there is a very low level of emails during a time period when you expect there to have been a lot of communication, this could indicate emails missing or deleted from your data set.

  6. Concept Analysis Concept analysis is often used in the early case assessment stage but can also be used after data is processed. This tool calculates concepts in your data sets in two ways: high-level concepts and sub concepts.

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