
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
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Features and programs
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Pricing
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 |
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None
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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.
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
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Customer reviews
Great for my chatbot
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!