IQ Agents
IQ Agents use a proprietary multi-model process to analyze and cross-check outputs, prove quality on a sample before scaling, and log every human and AI decision along the way.
Government, legal, and compliance teams want AI in review, but handing a decision to a model that can't explain itself, might be wrong, and gives you no way to check its work before it runs across the full scope of documents isn't worth the risk.
IQ Agents run inside a guided agentic workflow that lets your team set the criteria, track recall and precision, and affirm the quality of the results on a sample before the agent proceeds to execute across the full document set.
A guided workflow validates quality on a sample set before full execution, while multiple Al model process cross-check outputs for accuracy.
Every Al and human decision is logged with supporting rationale, with recall and precision metrics to help results hold up under scrutiny.
Reviewers retain full authority to approve agent's decision before the workflow proceeds across the full scope.
Estimated time and cost are shown before full run, giving teams full visibility before committing resources.
Is This Document Relevant or Responsive?
Determine relevance or responsiveness based on matter-specific criteria.
See the rationale and relevance likelihood score for each document.
Track recall and precision throughout the review.
Preserve a record of human and AI decisions.
Validate sample results before approving a full run.
What Issue Does This Document Raise?
Evaluate documents against defined legal, factual, or investigative issues.
Code documents for issues specific to your matter.
Review sample results to assess performance and accuracy.
Approve the agent’s progression to the full document set.
Use optional post-run quality control to calculate final recall and precision for each issue code.
Does the Evidence Support the Allegation?
Isolates the material most likely to be relevant
Extract key facts, each cited to its source
Links documents to key investigative themes
Lays out the whole story through timelines and data visualizations
Build findings and generate the report in the same place
IQ agents run within Casepoint’s unified platform security boundary and operate under existing customer permissions, governance, and access controls. Every new capability you add builds on infrastructure your team has already vetted.
The time savings and efficiency gains are clear. Casepoint's unique technology and architecture provides customers with an advantage that truly sets Casepoint apart in the market.
This is the holy grail we've been waiting for.
IQ Agents help government, legal, and compliance teams perform document review tasks through guided AI workflows with human oversight.
The Relevance Determination Agent assesses relevance or responsiveness against matter-specific criteria. The Issue Coding Agent evaluates and codes documents against defined legal, factual, or investigative issues.
Your team reviews sample results and assesses quality before approving execution across the full document set.
Reviewers retain authority over criteria, sample validation, and approval to proceed. Agents help execute review tasks within that governed workflow.
Supporting rationale and decision logs provide visibility into the work. Recall and precision metrics help teams assess performance.
IQ Agents operate within Casepoint’s unified platform security boundary, under existing customer permissions, governance, and access controls.
Estimated time and cost are displayed before full execution.
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