Iceberg A.I. Platform

Leverage our Artificial Intelligence framework. Get your data working for you.

Iceberg A.I. Platform

Iceberg is a cloud-based Artificial Intelligence platform designed to address the unique challenges of creating custom legal knowledge & analytics solutions. Enterprise offering.

  • 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

  • Easy data Ingestion

    Import/Export structured data from XML, CSV or RDF files or connect to current Databases using the built-in connectors

  • Import data from Public Sources

    Create crawl jobs and parsers to efficiently import data from public sources

  • Import data from vLex

    Re-use and extend vLex global data for your organization's internal projects (subject to content license)

  • Explore & Search your Data

    Explore, search and visualize your data in real-time

  • 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

  • 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

  • IceNet content-based recommendations

    IceNet also provides content-based recommendations that enable your users to discover content that's relevant to their research

  • 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

  • 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

  • Enrich your data with vCite citator

    Apply vLex's proprietary vCite algorithms to detect citations to legal documents in 20+ countries

  • Track engagement metrics

    Automatically collect and aggregate user engagement data and use it to feed your machine learning algorithms

  • 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

  • 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

  • Plug-and-play API integrations with ML providers

    API integrations with best machine-learning-as-a-service providers

  • Build Applications consuming your Cloud Data Set

    Create Apps connecting to Iceberg GraphQL APIs

  • Professional Services upon request

Related Products

vLex Global

Academic Edition

vLex Global provides comprehensive coverage of primary law for over 14 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

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