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Clustify

by Hot Neuron · Since 2000
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ActiveAvailable globally
Quick facts
VendorHot Neuron
Year launched2000
StatusActive
LocationHot Neuron LLC P.O. Box 463, Bryn Mawr, PA 19010
Countries servedGlobal
Languages1
Integrations
Free tier
Free trial
Contact salesYES

About Clustify

Clustify is a document clustering software from Hot Neuron that helps organize documents by grouping them into clusters based on the similarity of the text they contain. It combines features such as clustering algorithms, document visualization, and metadata analysis so users can easily identify and manage related documents. Clustify supports various input formats and allows users to customize clustering parameters for specific needs. The software is designed to facilitate the analysis of large document sets, making it easier to find relevant information. Key capabilities: clustering algorithms document visualization metadata analysis customizable parameters supports multiple formats Best for: researchers and analysts that need to analyze and organize large volumes of text documents.

Clustify is a specialized software solution designed to streamline the document review process, particularly within legal and e-discovery contexts. Its core strength lies in its ability to automatically cluster large volumes of documents based on conceptual similarity, near-duplicates, and email threads, allowing legal teams to rapidly gain insight into the structure and content of massive datasets. By organizing documents into coherent groups, Clustify significantly reduces the need for manual review, which is both time-consuming and costly. The software’s support for multiple predictive coding workflows, including TAR 1.0, 2.0, and 3.0, adds another layer of efficiency, enabling users to train the system to identify relevant documents and apply that logic across the entire corpus. Features like adjustable word weighting and cluster labeling make it easier to refine results and focus on what's most important, while its visualization tools help users understand keyword distributions and document relationships. Additionally, Clustify includes thoughtful capabilities like email footer detection and exclusion, which helps eliminate noise from repeated boilerplate content.

Pros & Cons

What users like
  • +Reduces manual workload by grouping related documents for faster review.
  • +Helps uncover topics and themes quickly using automated keyword labeling.
  • +Eliminates redundant work by identifying duplicate and near-duplicate content.
  • +Allows seamless export of tags to review platforms or databases.
  • +Offers granular control over clustering via word weighting and filtering features.
What users flag
  • Interface and visualization tools may feel outdated compared to modern AI platforms.
  • Limited online documentation about recent updates or ongoing product development.
  • May require strong hardware or preprocessing for large datasets.
  • Lacks native support for multilingual corpora or advanced machine learning models.
  • Visualizations (e.g., SVG maps) may be static and lack modern interactivity.

Features

Key features

Document Clustering – Automatically groups conceptually similar documents into clusters to streamline large-scale review.
Near-Duplicate Detection – Identifies and groups documents that are nearly identical to reduce redundant review effort.
Email Thread Detection – Detects and groups emails that are part of the same conversation thread.
Keyword Labeling for Clusters – Automatically generates keywords that summarize the content of each document cluster.
Representative Document Identification – Highlights one document per cluster as the most representative, making review faster.

Additional features

Cluster & Keyword Visualization – Generates visual maps of document clusters and their thematic relationships.
Email Footer/Header Filtering – Excludes boilerplate text like email signatures and disclaimers from analysis.
Custom Word Weighting – Lets users prioritize certain terms to influence clustering results.
Jaccard Similarity Function – Offers an alternative algorithmic method for comparing document similarity.
Flexible Cluster Sorting – Allows sorting of clusters by metadata, keyword, or document volume.
Tag-Based Filtering – Enables review teams to filter documents by tag or cluster membership.

Pricing

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Countries & Languages

Global
Countries served
1
Interface languages
21
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇷🇺RUB🇭🇰HKD🇸🇬SGD🇮🇳INR🇧🇷BRL🇲🇽MXN🇰🇷KRW🇿🇦ZAR🇳🇿NZD🇳🇴NOK🇵🇭PHP🇹🇷TRY

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