Sold by: Instituto Ingenieria ConocimientoÂ
Deployed on AWS
LegalAnalyze process and analyze legal announcements published in the national and regional official journals to extract relevant information.
Overview
Legal-Analyze is an intelligent tool designed to process and extract relevant legal information in announcements published in the official bulletins/journals (national and regional).
By using advanced NLP and AI techniques, Legal-Analyze identifies and highlights key information from these texts through a set of 12 tags:
section (seccion), competent entity (ente competencia), location entity (ente territorio), formal act (acto formal), substantial act (acto sustantivo), publication date (fecha publicacion), target addressee (destinatario), ID (NIF), quantity (cuantia), regulatory instrument (instrumento normativo), EU regulatory instrument (intrumento normativo europeo), and judicial instrument (instrumento judicial)This makes Legal-Analyze a valuable resource for organizations, legal professionals, and institutions that need to efficiently extract relevant information from lengthy legal documents.
Given a legal announcement, Legal-Analyze identifies such key information from the complex legal language offering a user-friendly visualization that enables faster decision-making and greater transparency in legal and administrative processes. If you are looking to stay informed and compliant in a streamlined way, Legal-Analyze is the solution.
This work has received funding from the Inesdata-project (Infrastructure to Investigate Data Spaces in Distributed Environments at UPM), a project funded under the UNICO I+D CLOUD call by the Ministry for Digital Transformation and the Civil Service, in the framework of the recovery plan PRTR financed by the European Union (NextGenerationEU). Project code: TSI-063100-2022-0001
Highlights
- Information Extraction from Legal Announcements: Official legal announcements often contain important information that is hard to access due to their technical and complex language. LegalAnalyze uses AI and natural language processing to extract key elements ---such as the topic, legal basis, issuing authority, target audience, and geographical scope--- making it easier to understand and navigate large volumes of legal text.
- Intelligent Identification of Legal Text Components: Understanding the structure of official legal texts can be challenging, especially when key details are scattered or embedded in dense language. LegalAnalyze automatically identifies and segments the fundamental components of legal announcements ---such as main topic, type of announcement, affected parties, and legislative details---enabling users to access the most relevant parts of each announcement quickly and intelligently.
Details
Delivery method
Latest version
Deployed on AWS
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Pricing
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.
Dimension | Description | Cost |
|---|---|---|
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $2.76/host/hour |
ml.c6i.large Inference (Batch) | Model inference on the ml.c6i.large instance type, batch mode | $5.52/host/hour |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $1.38/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $0.10/request |
Vendor refund policy
No
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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:
Version release notes
This is the first version of Legal-Analyze. This initial release demonstrates our commitment to making Spanish machine learning resources. While this is just the beginning, we are excited about the potential applications and improvements that future iterations will bring. We look forward to refining and enhancing our classifier based on user feedback and continued research.
Additional details
Inputs
- Summary
The analyzer accepts a JSON that conforms to the following format:
- A single text
https://github.com/iiconocimiento/iic-aws/blob/main/notebooks/legal-analyze/data/input/input.json
https://github.com/iiconocimiento/iic-aws/blob/main/notebooks/legal-analyze/data/input/input.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
text | A JSON object containing the text to analyze. | - | Yes |
Support
Vendor support
AWS infrastructure support
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