Casepoint Released Specialized Legal AI Agents
The company has launched new tools for relevance determination and issue coding within its eDiscovery platform.
Updated on Oct. 7, 2026 in Artificial Intelligence
Live Poll
Do you trust AI agents to accurately conduct document reviews for sensitive legal and compliance work?
Casepoint has introduced two new AI agents, the Relevance Determination Agent and the Issue Coding Agent, designed for use within its eDiscovery application. These tools are built to support legal and government teams by automating document analysis.
Why it matters
Government and legal teams increasingly require specialized agents that operate within established controls to manage large volumes of evidence efficiently. By incorporating these tools into the Casepoint IQ platform, the company aims to provide more reliable and transparent results for high-stakes investigations.
The new agents utilize a multi-model process to analyze documents and cross-check outputs to ensure accuracy. All final decisions made by the agents are recorded in an audit trail to maintain compliance requirements.
The players
Casepoint
Casepoint is a provider of eDiscovery and investigative technology solutions for government agencies and legal teams.
The details
The Relevance Determination Agent provides reasoning and likelihood scores for document relevance, while the Issue Coding Agent evaluates documents against defined legal or investigative issues. Users are required to validate the performance of these agents against a sample document set before allowing full-scale execution.
Timeline
Casepoint announced the release of the two AI agents on October 7, 2026.
The Tech Race
This development represents a shift toward specialized AI agents that replace traditional, manual review processes in the legal sector. It positions the company against competitors who are also racing to integrate audit-ready, multi-model AI workflows into their existing software suites.
Legal professionals using this application will now benefit from automated reasoning and likelihood scoring for relevance in document review. These tools require users to verify output against sample sets, ensuring that legal teams maintain control over the automated analysis before full execution.
The takeaway
The move toward specialized AI agents signifies a transition to more controlled and audited automated legal research. Legal teams should implement these tools by testing them against sample sets to ensure the outputs meet their specific case requirements.
Further reading
For more on the current landscape of legal technology, visit the Artificial Intelligence section.
More information
To learn more about these new tools or review documentation, visit the Casepoint official website.
Source note: This article includes information reported by KMWorld.
Live Poll
Do you trust AI agents to accurately conduct document reviews for sensitive legal and compliance work?
