Collaboration tools like Slack and Microsoft Teams have become part of the glue that holds successful teams together. Today, millions of individuals around the globe log in to both systems. While this is a boon to workplace communications, it can be something of a nightmare when Slack or Teams conversations need to be collected as part of the eDiscovery process. 

When Slack data consisting of responses, reactions, edits, deleted content, and even emojis can be material to the outcome of a legal matter, the eDiscovery challenges can be huge, especially when you consider the sheer volume of additional data to be collected. 

To collect data from complex tools like these, law firms and corporations can hire third-party subject matter experts to get the job done, but this increases the number of touch points and adds expense and risk to the process of every legal hold. Casepoint is constantly building integrations and connectors for its eDiscovery platform to address the complexity of collecting from diverse data sources, and that’s why we have recently created connectors for Microsoft Teams and Slack for eDiscovery

From the standpoint of integrated technology and usability, we are convinced our connectors are the very best on the market. Why? First, we don’t just buy a solution and bolt it on to an existing platform, nor do we build a connector simply to collect and prepare data for review. We started by listening carefully to our customers and incorporating their requests into the solution. After all, law firms and their clients are using these collaboration technologies because they need them. Our goal in building them is to help customers collect, preserve, review, and present these new forms of Slack data as efficiently and cost-effectively as possible.

This is why our connectors are integrated from the ground up with the Casepoint technology ecosystem, and why there are no glitches or mismatches when these tools go live. Our uniquely adaptable technology, built upon web APIs and an N+1 scalable architecture, gives our developers the flexibility they need to rapidly create customized solutions that meet our clients’ specific needs. 

With our eDiscovery system set up to support Slack, users don’t need to log in and out of different systems to gather the required data or bring in external assistance. The same legal professionals can bring the data over themselves, apply Casepoint’s powerful integrated analytics to get visibility into the results, and immediately determine what’s relevant to present to counsel. The savings in time, cost, and efficiency are substantial.

Focusing on the Slack connector for a moment, let’s take a quick look at some of the benefits. Users can:

Easily Collaborate on Data Collection From a Single, Familiar Tool

  • Once Slack data is imported, legal teams can use Casepoint to quickly pull potentially relevant messages from targeted Slack conversations – even emojis – into their Casepoint workspace. This can be done daily, weekly, or monthly. Filtering options allows the eDiscovery team to select users, channels, direct messages, and groups to download, ensuring that data is not over-collected and thereby reducing associated costs. Filtering also ensures that important data, whether it concerns an individual user or an entire team, isn’t missed, giving legal discovery teams a complete and accurate information set. This capability is especially useful in a complex, fast-changing environment like Slack. 

Find and Share Correct and Relevant Data

  • Users also have access to data in real time, ensuring that the most comprehensive data set is retrieved for review. Collecting data from Slack can even include messages that have been edited or deleted. Once the data has been collected, users can apply the analytics tools built into the Casepoint platform to gain insight into the entire data set, enabling them to rapidly review and present to counsel information that is both precise and relevant.

Identify Specified Slack Channels

  • eDiscovery teams can access specified public, private, and shared Slack channels – even third-party Slack accounts. They can identify all Slack channels an individual user is associated with and perform one collection for the set. Even reactions within a channel, whether in words or visual form, are included in the collection. 

Our roster of connectors grows more robust every day. We’re among the top legal technology providers in terms of connectors, and we have the strength, vision, and development expertise to build exactly what our customers need in an exceptionally short time frame without sacrificing the seamless integration and end-to-end insights expected from a global eDiscovery platform.

This is what we’ve just done with Slack and Teams, and it’s how we plan to roll out a multitude of other connectors as our clients require them in the near future.

Collecting Slack Data for eDiscovery

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