Casepoint Released New Artificial Intelligence Agents
The legal technology company launched two automated tools to assist with document review and issue coding.
Updated on Sept. 24, 2026 in Artificial Intelligence
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Casepoint has introduced two specialized artificial intelligence agents designed to automate complex legal and compliance workflows within its Casepoint IQ platform. The new tools, currently available to early access customers, focus on document relevance assessments and issue coding.
Why it matters
By automating document analysis with human oversight, these specialized agents aim to streamline high-volume legal and government processes. This shift reflects a growing demand for efficiency in document-intensive professional services sectors.
The Relevance Determination Agent and Issue Coding Agent utilize a multi-model process to cross-check outputs. Users must validate agent performance against a sample set before applying the technology to full document scopes.
The players
Casepoint
Casepoint is a provider of legal technology and eDiscovery software designed to manage complex data for legal, government, and corporate teams.
The details
The agents function within the recently launched Casepoint IQ ecosystem, which provides a framework for specialized legal and government tasks. Casepoint is currently developing a broader pipeline of similar automated tools to expand its platform capabilities.
Timeline
September 2026 marked the initial launch of the Casepoint IQ platform.
September 23, 2026, was the date Casepoint released the two new AI agents.
The Tech Race
The transition to agentic AI marks a significant shift from simple automated workflows toward specialized tools capable of performing complex cognitive tasks. This development places Casepoint in competition with other legal technology providers racing to integrate autonomous systems into standard eDiscovery platforms.
Legal and compliance professionals can expect significant time savings by delegating document relevance tasks to the AI agents. However, users must maintain oversight by validating agent outputs against sample sets to ensure accuracy before full deployment.
The takeaway
The introduction of task-specific AI agents indicates that high-stakes legal document review is shifting toward human-in-the-loop automation. Professionals should focus on mastering the validation processes required to safely integrate these tools into their existing workflows.
Further reading
For broader insights into how automated systems are reshaping the field, visit the Artificial Intelligence section.
More information
To see how these tools function within the platform, request an agent demonstration.
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Do you trust artificial intelligence to make accurate decisions in professional legal or compliance work?
