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Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets

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Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets preview
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1. Workflow Overview

How It Works This workflow automates legal policy governance for legal teams, policy managers, and compliance officers, eliminating manual document review, approval classification, and multi channe...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.gmailtool, n8n-nodes-base.slacktool, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets
Workflow name
Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets

How It Works

This workflow automates legal policy governance for legal teams, policy managers, and compliance officers, eliminating manual document review, approval classification, and multi-channel stakeholder distribution. Submitted policy documents are form-triggered, extracted into structured text, and passed to the Legal Governance Agent. Backed by shared memory and a governance model, it coordinates three specialist agents: Policy Analysis (content evaluation), Compliance Tracking (regulatory alignment), and Legal Summary (structured report generation). Gmail and Slack notification tools handle multi-channel alerts in parallel. Outputs are parsed and routed by approval status across four concurrent Google Sheets tracks: policy record storage with stakeholder notifications, approval preparation and tracking, compliance record preparation and tracking, and audit log generation, ensuring a complete, audit-ready governance trail for every submission.

Setup Steps

  1. Import workflow; configure the Policy Submission Form trigger.
  2. Add AI model credentials to the Legal Governance Agent, Policy Analysis Agent, Compliance Tracking Agent, and Legal Summary Agent.
  3. Connect Gmail credentials to the Email Notification Tool; link Slack credentials to the Slack Notification Tool.
  4. Link Google Sheets credentials; set sheet IDs for Policy Records, Approvals, Compliance, and Audit Trail tabs.

Prerequisites

  • OpenAI API key (or compatible LLM)
  • Gmail account with OAuth credentials
  • Slack workspace with bot credentials
  • Google Sheets with policy, approval, compliance, and audit tabs pre-created

Use Cases

  • Legal teams automating policy submission review and approval classification

Customisation

  • Extend routing logic to include partial-approval or escalation tiers for complex policies

Benefits

  • Eliminates manual policy triage and stakeholder notification across large submission volumes

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Policy Submission Form

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.5

Block 2 - Extract Policy Document

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1.1

Block 3 - Policy Analysis Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 4 - Policy Analysis Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 3

Block 5 - Compliance Tracking Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 6 - Compliance Tracking Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 3

Block 7 - Legal Summary Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 8 - Legal Summary Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 3

Block 9 - Legal Governance Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 10 - Governance Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 11 - Email Notification Tool

Type / Role
n8n-nodes-base.gmailTool - gmailTool
Config choices
Version 2.2

Block 12 - Slack Notification Tool

Type / Role
n8n-nodes-base.slackTool - slackTool
Config choices
Version 2.4

Block 13 - Legal Governance Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 14 - Route by Approval Status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.4

Block 15 - Prepare Policy Record

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 16 - Store Policy Records

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 17 - Prepare Approval Record

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 18 - Track Approvals

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 19 - Prepare Compliance Record

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 20 - Track Compliance

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 21 - Prepare Audit Log

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 22 - Audit Trail

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 23 - Split Stakeholders

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 24 - Send Stakeholder Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Showing the first 24 of 33 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets
Complexity advanced
Nodes 33
Categories Document Extraction, AI Summarization
Author Cheng Siong Chin
Published 29 Mar 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14436/14436.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Review legal policies with GPT-4o, Gmail, Slack, and Google Sheets do?

How It Works This workflow automates legal policy governance for legal teams, policy managers, and compliance officers, eliminating manual document review, approval classification, and multi channe...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.