March 29, 2024 Release: Multi-matter models for predictive coding, data upload improvements, and more!

AU release: March 26, 2024

Release for all other: March 29, 2024

Knowledge Base updates: March 29, 2024

 

With this release, you can now leverage predictive coding models across your organization, see latitude and longitude metadata, 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:

Introducing Multi-matter models

Multi-matter models enable organizations on Everlaw to leverage previously trained predictive coding (“PC”) models to find relevant documents in brand-new, similar matters. Since these models are already trained, they can generate prediction scores on documents in new matters immediately. Once initial prediction scores are generated, teams can prioritize reviewing documents that the multi-matter model predicts to be relevant. 

 

 

Over time, organizations on Everlaw will be able to leverage a library of their own tailored multi-matter models to find important documents in specific legal matters, enabling review teams to start reviewing documents predicted to be relevant sooner.

Learn more about multi-matter models here.

 

Data upload improvements

Latitude and longitude as standard metadata fields 

Latitude and longitude will now be standard metadata fields. During native upload, latitude and longitude metadata from pictures and videos will be parsed into Everlaw standard metadata fields “GPS Latitude” and “GPS Longitude” .

Imaging options for PowerPoint files with speaker notes 

This release will introduce a third processing option to “include speaker notes with original formatting” upon Native upload.

Learn more about native uploads here.

Ability to move or remove the “Type” column from the Results Table 

The Type column will now have the same removable and moveable properties as other columns in the results table.

Learn more about the results table here.

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