EverlawAI Clustering
Instantly group millions of documents to see the big picture without needing a single keyword search.
Visualise Your Data to Find the Truth Faster
Uncover the architecture of your case through a unique visual interface. Everlaw Clustering helps you separate the signal from the noise early in your case lifecycle, giving you a clear roadmap of where to focus your attention first so you never miss a critical theme.
Explore Your Data with Ease
Understand your data at a global scale, with key visualisations of concept clusters and document relationships. Effortlessly transition from a high-level overview of millions of documents down to the finest detail of a single page with the intuitive ease of a digital map.
Visualisations at Scale
Everlaw Clustering supports visualisation of up to 25 million documents on a single screen. Whether in early case assessment or full document discovery, Everlaw makes identifying and exploring vast data sets simple.
Uncover Hidden Connections
Preserve relationships between documents, even across different clusters and zoom levels. Explore your evidence with a fluid user interface, allowing teams to identify key documents as they understand their data and construct compelling storylines.
Gain Instant Clarity
Everlaw Clustering visualises documents in your data set by conceptual similarity. It generates insights about concepts in your documents without requiring any user input.
Explore Data at a High Level
See your documents at the highest levels, even across massive data sets, or zoom in to explore specific clusters, individual documents and outlier evidence.
Analyse Matters in a Unified View
Seamlessly integrate core search and review tools directly into your visual map to uncover multi-dimensional insights. By overlaying predictive models, search results and coding decisions onto your clusters, you can visualise the progress of your entire case and pinpoint critical evidence within even the most massive datasets.
Competing software might take me a day to train the attorney. I can do that in Everlaw in less than 90 minutes.
Sean Hert
Litigation Support Project Manager, Ohio Attorney General's Office
Frequently Asked Questions
How does document clustering help legal teams analyze discovery data?
Document clustering helps legal teams analyze discovery data by grouping documents based on conceptual similarity, so they can understand the shape of a dataset without needing keywords, coding, or prior knowledge first.
How can lawyers use AI document clustering during ediscovery?
Legal teams can use EverlawAI Clustering to explore unfamiliar data, spot themes, find related evidence, prioritize what to review first, and QC review decisions across large discovery sets.
How does EverlawAI Clustering help identify key themes in case data?
EverlawAI Clustering uses AI to analyze document contents and organize them into concept-based groups. By exploring these clusters, legal teams can quickly identify major themes, topics, and relationships within their case materials.
How does document clustering support early case analysis?
Document clustering supports early case analysis by helping lawyers quickly see the major concepts, isolate potentially important themes, and narrow a large corpus into the subsets worth deeper review.