Automated Contract Clause Extraction and Analysis
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Leverage AI to automatically extract and analyze key clauses from your contracts. This workflow streamlines legal document review, saving time and reducing manual effort.
About This Workflow
The Contract Clause Extractor workflow is an intelligent automation designed to process legal documents efficiently. It begins by receiving contract data via a webhook, then intelligently segments the text for detailed analysis. Utilizing powerful language models (Cohere for embeddings and OpenAI for chat), it converts contract text into vector representations stored in Weaviate. This allows for quick retrieval and analysis of specific clauses or contract sections. The workflow integrates with a chat interface and memory, enabling sophisticated querying and contextual understanding of the contract's content. Finally, all extracted information and interactions are logged to a Google Sheet for comprehensive record-keeping and auditability.
Key Features
- Automated Clause Extraction: Intelligently identifies and extracts relevant clauses from legal documents.
- AI-Powered Analysis: Leverages LLMs for understanding context and relationships within contract text.
- Vector Database Integration: Uses Weaviate for efficient storage and retrieval of contract data.
- Conversational Interface: Enables interactive querying and analysis of extracted clauses.
- Automated Logging: Records all processing steps and extracted data to Google Sheets.
How To Use
- Set up Webhook: Configure the 'Webhook' node to receive incoming contract data.
- Configure Text Splitter: Adjust 'chunkSize' and 'chunkOverlap' in the 'Splitter' node to optimize text segmentation based on document length and complexity.
- Connect Embeddings and Vector Store: Ensure your Cohere API credentials are set in the 'Embeddings' node and your Weaviate API credentials are in both the 'Insert' and 'Query' nodes. Verify the 'indexName' ('contract_clause_extractor') matches across these nodes.
- Configure Chat and Memory: Set up your OpenAI API credentials in the 'Chat' node. The 'Memory' node helps maintain conversation context for the AI agent.
- Define Agent Tools: Connect the 'Query' node's output to the 'Tool' node, and subsequently connect the 'Tool' node to the 'Agent' node. The 'Agent' node will utilize these tools for processing prompts.
- Set up Google Sheets Logging: In the 'Sheet' node, provide your Google Sheet ID ('SHEET_ID') and the log sheet name ('Log'), and ensure your Google Sheets OAuth2 API credentials are correctly configured.
Apps Used
Workflow JSON
{
"id": "d17dc244-e60a-474d-a2d2-a1599ccc427d",
"name": "Automated Contract Clause Extraction and Analysis",
"nodes": 15,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: d17dc244-e60a...
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