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.png?width=600&height=79&name=Untitled%20design%20(18).png "cloudficient logo")
Expireon AI Studio
Applying machine learning models to classify emails, reducing manual review time and error risk.
Trained locally on customer-specific data, Expireon AI Studio applies machine learning models to classify emails by category and sensitivity, continuing to learn over time. Expireon AI Studio identifies Business Relevant, ROT, Sensitive, Privileged, or System Generated data flagging any items for human review under a configurable confidence threshold. To improve the model’s decisions over time, Expireon AI Studio provides a second layer of review for flagged items using an LLM to help reduce or completely remove human intervention.
Expireon AI Studio may be used to prioritize document review, ensuring reduced document sets focused on business relevant data to maximize efficiency and accuracy. Additionally, exports can be split by category to support workflows where, for example, sensitive information is reviewed in house or system-generated/non-business relevant messages are reviewed using AI and analytics rather than linear human review.
For some of our early beta customers, we’re commonly seeing reductions in data sent for review by up to 33%.
Prioritized Review in eDiscovery
Prioritize eDiscovery review with business-relevant emails to maximize efficiency and accuracy.
Category tags from Expireon can be used to further refine workflows such as having all sensitive emails reviewed internally first.
Reduce review costs significantly by eliminating ROT and system-generated emails from downstream review.
Efficient Machine Learning
AI Studio uses highly performant machine learning models to classify data at blazingly fast speeds.
No GPUs required and no per-token charges to worry about.
If you choose to use LLM-enhanced secondary review, you can connect your own LLM to take advantage of existing enterprise agreements.
.png?width=265&height=300&name=Label%20Emails%20(LLM%20Confidence).png "Label Emails (LLM Confidence)")
.png "Label Emails (Classify)")
Identify & Classify Emails
AI Studio classifies messages into five categories: business relevant, sensitive, privileged, ROT, and system generated with extremely high accuracy.
The classifications can then be exported as tags with the data, or customers can choose to split exports by category to support more advanced review workflows.
Automated Review with LLM
Connect to an LLM to support confidence-based training reviews that can help automate the training process and reduce the need for human review during training.
Configurable confidence scores for both the primary model and the LLM allow customers to set a threshold for automation, leaving the remaining items for human review.
.png?width=346&height=300&name=Overview%20(Inference).png "Overview (Inference)")
.png "Overview (Trainingset)")
Trained On Your Data
AI Studio is trained locally on customer data to maintain privacy and security boundaries.
Content is not passed to a centralized system for review, and by allowing customers to bring their own LLM for secondary review, they can leverage the agreements and approvals already in place for LLM use within their organization.
A Guide to Hyperlinked Files for Legal and IT
Cloudficient's Hyperlinks guide offers legal and IT teams a detailed understanding of these files, their risks, and best practices for managing them effectively in eDiscovery, covering the following key topics:
- How hyperlinked files work in major platforms (Microsoft 365, Google Workspace, Dropbox, Box, Slack, etc.)
- Key legal and IT challenges when handling hyperlinked files
- Strategies for retrieving and preserving the correct version of
hyperlinked files - Third-party solutions for managing hyperlinked files
Please complete the form below to request the Hyperlinks Guide!
Expireon Connectors
