We’re excited to introduce the new Holdings Analytics Overlap Tool, designed to help libraries better understand and optimize their collections. This tool allows you to analyze overlap between collections at both a high-level summary and a detailed, title-by-title view.

With clear visualizations and interactive reports, you can easily identify complete overlap, partial overlap, and unique titles across collections. Detailed overlap results include coverage timelines, overlap percentages, and exportable title-level data for deeper analysis.

The tool supports comparisons between subscribed collections, non-subscribed Knowledgebase collections, your entire holdings, and even custom or a-la-carte collections uploaded via Excel. All reports can be saved and exported for further review and sharing.

Resolver statistics now include a new “Open Access Available” indicator, giving librarians clearer insight into how often Open Access options were available during resolver requests.

This column counts how many resolver requests included at least one Open Access link, regardless of which link the user ultimately selected. An Open Access link being available does not imply that it was used, users may still have accessed full text via subscription-based services.

This metric helps institutions understand the presence of Open Access alongside licensed access.

Data for this metric is collected starting from February 1, 2026, and the column appears automatically in Resolver reports for date ranges that include this date.

We’ve introduced several powerful AI enhancements to help users move faster from question to insight, reducing manual steps and making advanced functionality more accessible.

The new Ask & Extract capability allows users to define their own data points and extract them directly from the abstracts of selected publications. Instead of relying only on predefined metrics, users can now ask questions such as study considerations, limitations, or specific characteristics, and receive structured results in a table.

For most searches, AI-powered search is the fastest and most effective way to get results, simply describe what you’re looking for in natural language and let the AI do the heavy lifting.

That said, some research scenarios require highly specific, carefully constructed Boolean queries. To support these advanced use cases, we’ve introduced AI Assisted Query, located at the top of the Advanced Search page, directly above the traditional Query Builder.

This feature translates natural language requests into structured Boolean queries, providing a strong starting point that users can review, refine, and adjust using the existing Boolean tools. It combines the ease of AI with the precision of manual query building.

Citation matching is now faster and simpler with a new single-textbox AI Citation Matcher. Users can paste a full citation, no matter the format, and the AI will parse it automatically. There’s no longer a need to split citations into separate fields.

The Library eResources Favorites widget has been completely redesigned to make managing favorites faster and more intuitive. Previously, the widget was view-only—adding, reordering, renaming, or removing favorites required navigating to separate pages.

Now, everything can be done directly within the widget. Users can add new journals, books, and databases, remove items, and manage their favorites without leaving the page. This experience makes it easier for patrons to personalize their access to library resources.

We’ve added a new Cite & Export action link directly to each Discover search result, making it easier than ever to reference and reuse content. Patrons can now generate citations and export them to popular reference managers, such as EndNote, RefWorks, Mendeley, Zotero, Word, or PDF, without opening the full record.

Administrators can enable this feature from Admin Panel > Discover > Settings > Results by adding the Cite action link.

We’re excited to introduce a new Preview feature in the Repository Record Editor. Editors can now preview records, whether in draft or containing unsaved changes, without publishing or saving them. This allows you to validate layout, content, and formatting before anything goes live.

Access the new Preview option from the editor’s three-dot menu. The record will open in a new tab showing a simulated published view, along with a clear banner indicating that you are viewing an unpublished preview.

We’ve added a new Bookmarks Widget to help patrons access their saved items more easily, and to make the bookmarks feature more visible and engaging. Logged-in users can now view their bookmarks directly from the portal homepage, with support for folders and smooth navigation.

If a user isn’t logged in, the widget prompts them to sign in, helping increase bookmark usage and overall engagement. Administrators can also customize the widget’s appearance and options to match their portal layout.

We’ve redesigned the Date Filter Chart in Discover from the ground up to make it faster, smoother, and better suited for collections that span long historical periods.

The updated chart now displays more years at a glance and includes a Timeline Zoom Bar that appears automatically when the date range is large. This new tool lets users easily scroll, zoom in, and focus on specific time periods for more precise filtering.

Interactive actions like clicking or dragging to select a date range now respond instantly for a more seamless search experience.

We’re excited to share several powerful AI updates which were released over the last two months that make Discover even smarter and more intuitive:

The AI Assistant is now available directly within the Bookmarks section, making it easier to summarize, explore, and interact with saved resources.

A new AI Search Feature Snippet is now available. This option is useful for administrators who prefer to keep keyword search as the primary search method. It allows them to display their own results from their own resources at the top, while still including the highly relevant and powerful AI Search results within the page.

Our spell check engine has been completely rebuilt with AI capabilities and now recognizes and corrects spelling across multiple languages. Administrators no longer need to set a predefined language. This is especially useful for multilingual institutions where, for example, the interface is in Spanish but users search in both English and Spanish.

The new autosuggest engine delivers more relevant and context-aware results than ever, helping patrons find what they need faster. Like the new spell check, it no longer requires a preset language and automatically detects the language of each query. Search suggestions are optimized across multiple domains, including Medical, Engineering, and General Academic.

We’re happy to introduce Response Templates in the Document Delivery module. Administrators can now create predefined reply templates for common request responses. This makes it faster and easier to communicate with patrons, ensures consistency in messaging, and improves overall workflow efficiency.