Casepoint, a leader in AI-powered legal, investigative, regulatory, compliance, and data discovery solutions for government agencies and enterprises, today announced that Elastic has standardized eDiscovery and legal hold on the Casepoint platform. The decision reflects Elastic’s focus on operational maturity, risk reduction, and pragmatic technology adoption as the company scales, with Casepoint already helping the legal team reduce outside costs and find new ways to use legal data.
Elastic selected Casepoint following a competitive RFP process that evaluated vendors against defined functional and technical requirements. Key requirements included strong support for Google Workspace and Slack, practical legal hold workflows, and a platform suited to the needs of a corporate legal department.
After a rigorous evaluation, Elastic ultimately selected Casepoint for its ability to meet all of their requirements while simplifying complex workflows, as well as for Casepoint’s partnership-driven approach.
“Elastic’s legal team is focused on building processes that match the needs of a growing, data-driven technology company,” said Jen Lenander, Sr. Director & Chief of Staff at Elastic. “Casepoint stood out because it gave us the capabilities we needed to scale and handle more eDiscovery work directly, strengthen legal hold, and manage legal data more efficiently.”
Casepoint’s partnership approach was also an important factor in Elastic’s selection and implementation. The Casepoint team provided onboarding, training, technical setup, and business-case development, helping Elastic quickly apply the platform to both standard eDiscovery workflows and more creative legal operations use cases.
“Technology fit was only part of the decision,” said Lenander. “We also needed a partner that understood our goals, responded quickly, and helped us think through practical ways to use the platform. Casepoint has supported that approach from implementation through ongoing use.”
Beyond its original eDiscovery and legal hold needs, Elastic has already identified additional ways to use Casepoint to reduce outside costs and support internal analysis. In one DSAR-related matter, the platform helped Elastic export data in a usable format for work with a third-party provider, avoiding significantly higher third-party processing costs. Elastic also used Casepoint to convert contract-alias email data into a format that could be analyzed with an AI research tool, helping the legal team surface insights into contracting workflows without a separate consulting engagement.
“Elastic approached this the right way, with a clear sense of what its legal team needed and a disciplined, unbiased evaluation process,” said Pete Feinberg, Chief Product Officer at Casepoint. “That matters because more corporate legal teams are taking greater ownership of critical legal workflows, and they need technology that fits how they want to operate for peak efficiency.”
With Casepoint, Elastic now has a more controlled way to manage legal data, collaborate with internal and external teams, reduce outside costs, and support legal work across a modern technology environment.
