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    LexisNexis US Legal Taxonomy - Level 1

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    Deployed on AWS
    LexisNexis US Legal Taxonomy - Level 1

    Overview

    Legal taxonomy classification is an important "first step" needed in legal text processing. You need to know what category of Law the legal text is referring to. Many Lawyers rely on the Legal Taxonomy provided by the LexisNexis application. This Sagemaker model isolates that taxonomy classification feature so you can apply it so any text that is fed into into the application. The model behind the Sagemaker application was built using LexisNexis proprietary Machine Learning methods.

    Highlights

    • Most lawyers use and trust LexisNexis for their Legal research
    • Are you trying to process some Legal text and determine which legal specialty it relates to?
    • Use the same classification taxonomy that many lawyers rely on in the LexisNexis application with this Sagemaker application

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Pricing

    LexisNexis US Legal Taxonomy - Level 1

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (3)

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    Dimension
    Description
    Cost/host/hour
    ml.m5.large Inference (Batch)
    Recommended
    Model inference on the ml.m5.large instance type, batch mode
    $10.00
    ml.m5.large Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.large instance type, real-time mode
    $1.00
    ml.c5.xlarge Inference (Batch)
    Model inference on the ml.c5.xlarge instance type, batch mode
    $10.00

    Vendor refund policy

    None

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Initial release

    Additional details

    Inputs

    Summary

    Use to classify legal text to LexisNexis Legal Taxonomy

    Input MIME type
    application/json, text/csv
    See Input Summary
    See Input Summary

    Support

    AWS infrastructure support

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    Customer reviews

    Ratings and reviews

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    1 AWS reviews
    Chatty Kathy

    Great for my chatbot

    Reviewed on Nov 13, 2018
    Review from a verified AWS customer

    I am trying to build a legal chatbot and really need to be able to classify the text into legal categories so I can better formulate a response. Thanks LexisNexis for opening up this feature!

    View all reviews