Latest Platform Release
This release introduces expanded capture coverage, improved classification accuracy, and enhanced supervision workflows across key communication channels. Updates focus on increasing data fidelity at ingestion and reducing manual review effort for compliance and legal teams.
t-b-s
Bring context into AI-driven workflows
AI Converge allows teams to securely connect enterprise data to AI tools using a Model Context Protocol (MCP) server. Teams access the context they need within AI workflows while maintaining control, oversight, and defensibility.
Capture conversations wherever work happens
Extend collection across Google Workspace and modern collaboration environments, including emerging AI interactions. Messages, attachments, and context are preserved in a unified record to support consistent monitoring and defensible outcomes.
Move faster from review to understanding
Enhancements to InsightAI introduce LLM-driven case insights, including conversation threading, sentiment analysis, and topic classification. Teams begin with context, reduce review effort, and reach decisions with greater consistency.
Reduce operational effort while maintaining control
Streamline administration with group-based role assignment, improved reporting transparency, and expanded automation across surveillance and capture. Teams operate more efficiently while maintaining governance at scale.
Upcoming changes to application URLs will require customer action
We are updating application URLs as part of platform improvements. Customers using saved links, bookmarks, or add-ins should review and update access points to avoid disruption. For details and required steps, visit the support article:
FAQs: Arctera Unified Platform SaaS URL Updates
Previous Release Updates
t-b-s
January 2026 Release
|
Frequently Asked Questions
t-b-s
How often is the Arctera Unified Platform updated?
The Arctera Unified Platform follows a quarterly release cycle, delivering new features, enhancements, and integrations on a predictable cadence. Updates are applied automatically as part of the SaaS delivery model, without requiring upgrades or downtime. This ensures compliance, legal, and IT teams consistently operate on the most current version of the platform. Minor updates and fixes may also be deployed between scheduled releases.
Do I need to purchase new features when they are released?
| No. The platform is delivered as a single SaaS offering that provides access to all capabilities across capture, classification, supervision, archiving, and discovery. When new features are released, they are included as part of the platform without additional licensing. Teams can begin using them based on configuration and administrative enablement. This model allows organizations to adopt new functionality without procurement delays. |
Are platform updates applied automatically?
| Yes. Updates are deployed automatically as part of the SaaS architecture of the platform. There is no need to install patches, manage infrastructure, or schedule upgrades. New capabilities are introduced into the existing environment without disrupting ongoing workflows. Some features may require administrative configuration before they are visible to end users. |
Do new features change existing compliance or retention policies?
| No. Existing policies, retention rules, and supervision configurations remain unchanged unless they are explicitly modified by an administrator. The platform introduces new capabilities in a way that preserves current governance settings. This allows organizations to evaluate and adopt features without impacting established compliance workflows. Changes are controlled through administrative actions and are fully auditable. |
How are new capabilities enabled within the platform?
| New capabilities are introduced through the platform’s unified control framework, which governs how features are configured and activated. Some features are available immediately after release, while others require administrative enablement. This allows organizations to control rollout based on internal policies and operational readiness. Configuration settings determine how capabilities are applied across users, data sources, and workflows. |
How does Arctera handle new AI-related features in the platform?
| AI capabilities are introduced as part of the platform’s classification and supervision architecture, where models evaluate content and context during ingestion. These features are not automatically enforced and can be enabled or configured by administrators. This allows organizations to assess how AI is applied within their governance workflows. All AI-driven outputs remain subject to existing policies, auditability, and review processes. |
How can I ensure my team is using the latest platform capabilities?
| Teams can review this page to stay informed about newly released features and enhancements. Administrators can then evaluate and enable relevant capabilities within the platform. Because all features are included in the SaaS model, adoption does not require additional licensing. Regular review of updates helps ensure the platform is fully utilized across capture, governance, and discovery workflows. |