02/07/2025 | Press release | Archived content
With this release, we've added the ability to batch translate and store non-English text and more - read on for more information about the features coming out this month! If you would like to learn more about the features in this release, join us for a live training session.
User-facing features in this release:
Everlaw now supports batch translation and translation storage for non-English language text for organizations that have purchased Everlaw AI credits. This functionality is enabled at the project level and allows you to:
Translations can be created by batch in the results table or created per document in the review window. They can also be exported as needed. It is a feature add-on requiring Everlaw AI credits.
This feature does not replace the existing option to translate non-English language text ad hoc. The existing translation tools for single documents are still available at no additional cost.
Note
To learn more about purchasing credits for Everlaw Translation, please speak to your Everlaw Customer Success Manager or request a call.
Note
The ability to batch translate and store non-English text is not available in Everlaw GovCloud. To learn more, read this article about Everlaw GovCloud.
Learn more in our article Batch Translate and Store Non-English Language Text.
We made some internal adjustments to how Everlaw detects non-English language characters. This allows for the following improvements:
Org Admins are typically responsible for administering and managing all the users with access to their Everlaw data.
With this release, Everlaw has introduced several reporting and user management improvements at the organization-level:
Learn more in our article on Organization and Project Administration.
Users can now specify whether or not they would like to send out a notification when sharing an existing binder.
Learn more in our article on Binders.
This release updates two aspects of the OCR options available when reprocessing documents from the results table:
Learn more in our article on Reprocessing.
Everlaw now detects embedded files from "image" PDFs during processed uploads and identifies them with the processing flag Embedded Files in Image. This update resolves a common issue with Bates-stamped emails saved and uploaded as PDFs, where attachments were previously overlooked.
Learn more in our article Locating Uploaded Documents on Everlaw.
You can now choose whether or not to fetch attachments during native upload of Slack data, either through Everlaw's cloud connection to Slack or through a Slack export. This gives you more control over the final data size of your Slack uploads.
Learn more in our article Upload Documents from Slack.
During native upload of chat data, you now have the option to segment the chat documents into 24-hour segments. Previously, most chats were automatically segmented into 100-chat documents. With this release, you can select between these two options to segment your chat files.
Learn more in our article Upload Native Data to Everlaw.
Organizations using Everlaw's APIcan now administer Everlaw users at the project, database, and organization levels using the API. This includes adding and removing users and granting permissions.
Learn more in our article on Everlaw API.
Selected testimony can now be paired with a Draft or Deposition directly from the transcript text.
Learn more in our article in our article Deposition 3 of 4: Summary, Transcript, and Testimony.
The Native upload report now includes Native size instead of Source size.
The Source size values from previously exported reports are not comparable to those in the Native size column of new reports. You can export a new report that includes the new, Native size value for each of your previous uploads.
This change has no impact on billable size and does not change anything about your data on the Everlaw platform.
For Everlaw clients in our EU and UK environments, tasks for Everlaw AI Assistant are now solely processed in the Open AI EU region. No action is required from Everlaw users.
Learn more in our Everlaw AI Assistant FAQ.
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