How AI can help eDiscovery

Using AI in eDiscovery can help identify relevant information, speed up the review process, and reduce the costs associated with eDiscovery.

EDISCOVERY ARCHIVING AI

9/15/2022 1 min read

How AI can help eDiscovery

The process of eDiscovery can be daunting for any organization, especially for those with large data sets. The sheer volume of data can make it difficult to identify relevant information, and the need to comply with regulations can further complicate the process.

However, artificial intelligence (AI) can be a powerful tool for helping to manage eDiscovery. AI can help to identify relevant information, speed up the review process, and reduce the costs associated with eDiscovery. There are several ways AI can help with eDiscovery. For example, machine learning can identify patterns in data that may be relevant to a case. This can help to narrow down the data set and make it easier to review.

However, artificial intelligence (AI) can be a powerful tool for helping to manage eDiscovery. AI can help to identify relevant information, speed up the review process, and reduce the costs associated with eDiscovery. There are several ways AI can help with eDiscovery. For example, machine learning can identify patterns in data that may be relevant to a case. This can help to narrow down the data set and make it easier to review.

The use of AI in the eDiscovery process can be extremely helpful in reducing the amount of data that needs to be reviewed and the time needed to review it. For companies with large data sets, AI can help make the eDiscovery process more efficient and effective and ultimately help save time and money.