Casepoint has joined the competition to build legal AI agents capable of performing specific functions, introducing two specialized tools aimed at automating document relevance evaluations and issue coding within eDiscovery. These agents are integrated into the company’s newly introduced Casepoint IQ platform, which includes audit logs, performance assessments, and human review mechanisms as part of its operational framework.
This initiative reflects a broader trend toward embedding AI directly into legal processes instead of offering isolated tools that claim to overhaul the field. Per the 2026 Thomson Reuters AI report, only 15% of surveyed professional-services firms currently employ agentic AI, though an additional 53% are evaluating or preparing for implementation.
Casepoint IQ Platform
Designed to streamline detailed governmental, legal, and regulatory procedures with human supervision, the Casepoint IQ platform hosts the Relevance Determination Agent and the Issue Coding Agent, both of which form part of an expanding suite of automation tools.
Currently operational within Casepoint’s eDiscovery system and being tested by select early adopters, these agents signify the initial rollout in a larger roadmap of domain-specific AI assistants tailored for governmental, legal, and compliance teams.
Agentic AI Agents
The company continues to expand its range of agents that function within the same secure infrastructure, data setting, and governance structure already familiar to its clients. One such agent, the Relevance Determination Agent, assesses documents to ascertain if they meet relevance or responsiveness criteria, offering explanations for its conclusions and assigning a probability rating.
The Issue Coding Agent reviews documents based on predefined legal, factual, or investigative themes tied to a case. A supplementary quality assurance step allows for post-processing evaluation of recall and precision rates at the level of individual issue codes.
Transparency and Control
Utilizing a proprietary multi-model methodology, both agents analyze and verify their outputs before presenting findings to reviewers. Predefined workflows mandate that users test performance against a representative sample prior to executing the agents across the entire dataset.
Accuracy is gauged through recall and precision benchmarks, while projected time and cost reductions provide legal teams with insight into anticipated outcomes before moving forward. This model merges autonomous processing with quantifiable results and human oversight.
Casepoint is also working on additional agents focused on other high-effort areas within legal, investigative, and information governance domains. Its system enables various specialized agents to collaborate sequentially throughout a workflow, progressing from relevance assessment to issue detection and beyond, eliminating the need for teams to switch between platforms.
Casepoint’s Vision
The long-term goal for Casepoint IQ involves embedding agentic AI as a cohesive layer within its unified platform, rather than deploying standalone AI applications. The two available agents function within Casepoint’s consolidated security perimeter and adhere to existing client permissions, policies, and access settings.
Demos of the Relevance Determination Agent and Issue Coding Agent, along with the wider Casepoint IQ suite, can be requested via Casepoint’s website.
Casepoint empowers government agencies and regulated enterprises to discover, secure, and act across their most critical legal, regulatory, and compliance workflows. Casepoint brings together deep government expertise with cloud-native eDiscovery innovation, serving federal civilian and defense agencies and enterprises, and unifying legal hold, eDiscovery, investigations, FOIA, regulatory, and compliance workflows in one secure platform.
Operating on a secure, cloud-native infrastructure endorsed by FedRAMP High and DOD Impact Levels 5 and 6, Casepoint integrates assistive, predictive, and agentic AI capabilities, complemented by an open MCP framework supporting third-party agent integration. This setup ensures a secure environment for running AI-driven operations.
Through its AI-enhanced platform, Casepoint enables teams to accelerate timelines, mitigate risks, and retain control amid heightened oversight. Its personalized service model guarantees clients receive the necessary resources to maximize the value of Casepoint’s offerings. Visit Casepoint’s website for further details.
