extraction-claim-summary-ar

Extract structured data from Argentine insurance claim lawsuits.

Updated Feb 26, 2026

Search Tags:#parsing #triage #data-extraction #litigation #legal-documents #argentina #insurance-claims

Ready to run

npx skills add https://github.com/ossarg/ali --skill extraction-claim-summary-ar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extraction-claim-summary-ar
Source: https://github.com/ossarg/ali/tree/main/skills/extraction-claim-summary-ar
Command: npx skills add https://github.com/ossarg/ali --skill extraction-claim-summary-ar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to convert unstructured judicial documents about Argentine insurance claims into structured data for triage and drafting.

Core Features & Use Cases

Automated extraction of expediente, partes procesales, siniestro, poliza, reclamo and pruebas ofrecidas from demands filed in Argentina.
Precise field mapping with confidence scores to support downstream triage and drafting workflows.
Use Case: Given a complaint document, populate a structured payload with all required fields for immediate review by legal teams.

Quick Start

Feed the claim document to the AI and output all required fields in the structured schema.

Frequently Asked Questions about extraction-claim-summary-ar

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured data from Argentine insurance claim lawsuits?▼

To extract structured data from Argentine insurance claim lawsuits, feed the judicial document into the AI to automatically populate expediente, partes, siniestro, poliza, and pruebas ofrecidas fields for downstream triage.

What is the best way to parse litigation documents for insurance claims in Argentina?▼

Parsing litigation documents for insurance claims in Argentina involves automated field mapping of expediente and economic details, enforcing precise extraction with confidence scores to flag uncertain fields for legal team review.

Can I use automated data extraction for legal triage and drafting workflows?▼

Automated data extraction for legal triage and drafting workflows is supported by converting unstructured judicial documents into a structured payload with confidence scores, enabling immediate review and subsequent drafting processes.

Does the extraction process handle uncertain fields in insurance claim documents?▼

The extraction process handles uncertain fields in insurance claim documents by enforcing explicit confidence labeling and strict adherence to the documented data model, actively flagging uncertain data for manual verification.

How do I populate a structured payload with required fields from a complaint document?▼

To populate a structured payload with required fields from a complaint document, input the demand file and the AI will output all required fields including reclamo, plazos, and related economic details following the documented schema.

What specific data points are extracted from Argentine insurance demands?▼

Specific data points extracted from Argentine insurance demands include expediente, partes procesales, siniestro, poliza, reclamo, pruebas ofrecidas, plazos, and related economic details for legal triage.