How to Extract Contract Data and Send It to Any Target
$0.00
| Workflow Name: |
Extract Contract and Send It to Any Target |
|---|---|
| AI Model Type: |
LLM / Vision |
| Model Provider: |
Goldfinch AI / OpenAI |
| Task Type: |
Clause Extraction / Classification |
| Input Type: |
PDF / Scanned Docs |
| Output Format: |
JSON / CSV |
| Who Uses It: |
Legal; Procurement Teams |
Table of Contents
Description
| Problem Before: |
Manual contract review |
|---|---|
| AI Solution: |
Clause-level AI extraction |
| Validation (HITL): |
Legal spot review |
| Accuracy Metric: |
Clause accuracy % |
| Time Savings: |
75% faster review |
| Cost Impact: |
Reduced legal hours |
Extract Contract and Send It to Any Target
This workflow enables Contract Extraction by leveraging LLM and vision models to analyze contracts from PDFs or scanned documents and identify key clauses.
Automated Clause Processing
The system detects, classifies, and structures important contractual elements such as terms, obligations, dates, and compliance clauses, then delivers the output in JSON or CSV to any target system. It helps legal and procurement teams reduce manual review effort, improve accuracy, and accelerate contract processing.
Watch Demo
| Video Title: |
Automate Data Extraction from Documents with No Code | AI Document Understanding | eZintegrations™ |
|---|---|
| Duration: |
0:27 |
Outcome & Benefits
| Accuracy: |
97% |
|---|---|
| Touchless Rate: |
70% |
| Time Saved: |
From hours to minutes |
| Cost Saved: |
$15 per contract |
Functional Details
| Business Tasks: |
Clause extraction; risk tagging |
|---|---|
| KPI Improved: |
Review time; compliance |
| Scheduling: |
Batch / On-demand |
| Downstream Use: |
Datalake / CLM |
Technical Details
| Model Name/Version: |
GPT-4o-mini |
|---|---|
| Hosting Type: |
API / Secure Cloud |
| Prompt Strategy: |
Clause-aware prompts |
| Guardrails: |
Confidentiality controls |
| Throughput: |
30 contracts/min |
| Latency: |
~5s/contract |
| Data Governance: |
No model training on data |
FAQ
1. What is the Extract Contract and Send It to Any Target workflow?
It is an AI-powered workflow that uses LLM and vision models to extract, classify, and structure contract clauses from contracts and send the data to any target system.
2. How does the workflow work?
The workflow ingests contracts in PDF or scanned document format, applies LLM and vision models to identify and extract key clauses, classifies them by type, and exports the structured output in JSON or CSV format to the configured target.
3. What types of contract clauses can be extracted?
It can extract clauses such as payment terms, termination, liability, confidentiality, renewal, governing law, and other standard or custom contract clauses.
4. What AI models are used in this workflow?
The workflow uses LLM and vision models provided by Goldfinch AI and OpenAI to accurately understand and classify contractual language.
5. What is the output of the workflow?
The extracted and classified contract data is output in JSON or CSV format and can be sent to systems such as contract management tools, Datalake, ERP, or compliance platforms.
6. Who uses this workflow?
Legal Teams and Procurement Teams use this workflow to accelerate contract review, reduce manual analysis, and improve contract visibility and compliance.
7. What are the benefits of automating contract extraction and classification?
Automation reduces review time, improves accuracy, standardizes clause analysis, and enables faster decision-making and compliance monitoring.
Resources
Case Study
| Industry: |
Legal / Enterprise |
|---|---|
| Problem: |
Slow contract processing |
| Solution: |
AI-driven contract analysis |
| Outcome: |
Faster legal decisions |
| ROI: |
3-month payback |
