Source-grounded assistance
Summaries and findings that point back to the passages they came from, so reviewers can verify them.
Intelligent Legal Workflow Assistance
Research and prototype work on AI assistance for legal workflows — helping professionals organize, review and act on documents while keeping every step traceable.
Overview
Legal work is document-heavy, precedent-sensitive and unforgiving of error. MedSynapse explores how AI can reduce the manual effort of reviewing and organizing material while keeping professionals firmly in control.
The work is at the research and prototype stage. It is being designed so that governance controls from QNE Labs’ security research apply from the start rather than being added later.
Design goals
Summaries and findings that point back to the passages they came from, so reviewers can verify them.
AI suggests; qualified professionals decide. Approval steps are part of the workflow, not optional extras.
Handling of privileged and confidential material treated as a first-order design requirement.
A record of what the system was asked, what it produced and who approved the result.
Development status
MedSynapse is in research and prototype development. It is not commercially available, and capabilities described here are design goals rather than delivered features.
Status labels are provisional and subject to final founder verification.
AI Runtime Security & Governance
Designed to detect suspicious AI interactions, evaluate security policies, support enforcement and preserve auditable security evidence.
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Governed connections between AI systems and the enterprise tools and data they rely on.
View product: Connector as a ServiceTell us about your AI systems and the risks you’re working to control.