Iceberg A.I. Platform
Leverage our Artificial Intelligence framework. Get your data working for you.

Iceberg is a cloud-based Artificial Intelligence platform designed to address the unique challenges of creating custom legal knowledge & analytics solutions. Enterprise offering.
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Dynamic Ontology
Iceberg's graph-oriented data representation can fit any data model from document databases to analytic profiles, classification taxonomies or temporal events
Easily evolve & refine your data model as requirements change
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Easy data Ingestion
Import/Export structured data from XML, CSV or RDF files or connect to current Databases using the built-in connectors
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Import data from Public Sources
Create crawl jobs and parsers to efficiently import data from public sources
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Import data from vLex
Re-use and extend vLex global data for your organization's internal projects (subject to content license)
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Explore & Search your Data
Explore, search and visualize your data in real-time
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Workspace-based collaboration
Workspaces provide zero-cost private copies of data so that your editors and data-scientists can experiment with data transformations without impacting your production users
When changes are ready, a data merge is one-click away
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IceNet Classification & Search Ranking Algorithms
IceNet is Iceberg’s own classification and search ranking algorithm designed to benefit from Iceberg’s graph-oriented data-representation and the past behavior of similar users
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IceNet content-based recommendations
IceNet also provides content-based recommendations that enable your users to discover content that's relevant to their research
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Enrich your data with Rule-based automations & Mass Updates
Rule-based automations and Mass Updates allow domain experts to turn their knowledge into rules and get instant results
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Scale-up human data gathering with Workflows
Workflows provide task-oriented interfaces that optimize human data enrichment tasks
Distribute tasks to internal or external teams, review outputs and track progress
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Enrich your data with vCite citator
Apply vLex's proprietary vCite algorithms to detect citations to legal documents in 20+ countries
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Track engagement metrics
Automatically collect and aggregate user engagement data and use it to feed your machine learning algorithms
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Probabilistic data model
Every fact in Iceberg is assigned a Quality Score that describes your editorial judgement of the data quality
Quality Scores can naturally describe the uncertainty associated to ML outputs and enable editors to override the output of automations if necessary
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Iceberg Text Engineering
Iceberg Text Engineering provides built-in integration with the General Architecture for Text Engineering (GATE) framework to enable hand-crafted data extraction pipelines from text (vCite, metadata extraction, document segmentation)
This can be used in combination with ML
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Plug-and-play API integrations with ML providers
API integrations with best machine-learning-as-a-service providers
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Build Applications consuming your Cloud Data Set
Create Apps connecting to Iceberg GraphQL APIs
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Professional Services upon request
Related Products
vLex Global
Academic Edition
vLex Global provides comprehensive coverage of primary law for over 20 jurisdictions and selected coverage for 100+ countries, as well as vetted editorial content from 1,000+ partner publishers curated by a global editorial team all on a single, powerful platform that gets you relevant results fast