Contract Clause Extraction and Analysis Workflow

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This n8n workflow automates the extraction, analysis, and logging of clauses from contracts via a webhook. It leverages AI and vector storage technologies to process, store, and retrieve contract data intelligently. The process begins with an HTTP POST webhook that triggers the workflow when a contract text is received. The text is then split into manageable chunks for detailed processing. Using Cohere’s embeddings, each chunk is converted into vector representations, which are stored in a Weaviate vector database for efficient retrieval. When a query is made, relevant contract clauses are fetched from the vector store. An AI-powered language model (OpenAI) interacts with the retrieved data, assisting in analyzing or defining contract clauses. The final step logs relevant information into a Google Sheet for record-keeping. This workflow is useful for legal teams or businesses managing large contracts, enabling quick retrieval and understanding of specific clauses without manual searching.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, stickyNote, webhook

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