for any structured data. Do not include or tags in your response, just the inner content."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "0f7164b4-2a15-4cc4-b50b-3245d9c4178a",
"name": "OpenAI Summary Analysis",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2080,
96
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {
"temperature": 0.4
}
},
"typeVersion": 1.2
},
{
"id": "4329dba8-b9cf-4ff7-a1ab-6ed05af5e4b1",
"name": "Discussion Guide Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2080,
912
],
"parameters": {
"text": "=Create a list of discussion topics for the initial AI Governance Policy planning meeting at:\n\n{{ $json.firmContext }}\n\nBased on the following research:\n{{ $json.combinedResearch }}\n\nCreate a structured brainstorming guide with the following sections:\n\n## 1. Strategic Questions for Leadership\n- 5-7 key questions about the firm's AI strategy\n- Focus on business objectives and competitive positioning\n\n## 2. Risk Assessment Topics\n- 6-8 specific risks to discuss\n- Include ethical, legal, reputational, and operational risks\n- Prioritize based on firm's practice areas and jurisdictions\n\n## 3. Use Case Evaluation\n- Review each current/planned AI use case\n- Questions to assess appropriateness and risk level\n- Criteria for approving new AI tools\n\n## 4. Client Considerations\n- Client disclosure requirements\n- Client consent processes\n- Managing client expectations\n\n## 5. Operational Questions\n- Training requirements\n- Supervision protocols\n- Quality control measures\n- Incident response planning\n\n## 6. Compliance Checklist Topics\n- Regulatory requirements to address\n- Documentation needs\n- Audit and monitoring processes\n\n## 7. Resource Allocation\n- Budget considerations\n- Staffing needs\n- Technology investments\n\nFormat as a facilitation guide that can be used to run a productive planning meeting. Include suggested time allocations for each section.",
"options": {
"systemMessage": "You are a legal technology consultant who facilitates AI governance planning sessions for law firms. Create practical, discussion-focused content that helps leadership teams have productive conversations about AI governance. Use clear formatting with actionable discussion questions.\nCRITICAL: Output the content using HTML tags only. Do not use Markdown (e.g., no ### or |---|). Use , |
for any structured data. Do not include or tags in your response, just the inner content."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "098d7b24-8bf1-4b87-ae5e-82456544b9c5",
"name": "OpenAI Discussion Analysis",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2080,
1056
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {
"temperature": 0.5
}
},
"typeVersion": 1.2
},
{
"id": "13a3d4dd-4dd9-4240-b008-f1497d2102bd",
"name": "Draft Policy Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2080,
416
],
"parameters": {
"text": "=Draft a comprehensive AI Governance Policy for:\n\n{{ $json.firmContext }}\n\nBased on the following research:\n{{ $json.combinedResearch }}\n\nCreate a complete, professional policy document with the following structure:\n\n## POLICY DOCUMENT STRUCTURE\n\n### 1. INTRODUCTION\n- Policy purpose and objectives\n- Scope and applicability\n- Definitions of key terms\n- Effective date and review schedule\n\n### 2. GUIDING PRINCIPLES\n- Ethical AI use principles\n- Client-first commitment\n- Professional responsibility alignment\n- Transparency and accountability\n\n### 3. APPROVED AI TOOLS AND USES\n- Categories of approved AI tools\n- Approved use cases by practice area\n- Prohibited uses\n- Tool evaluation and approval process\n\n### 4. DATA SECURITY AND CONFIDENTIALITY\n- Client data protection requirements\n- Prohibited data inputs to AI systems\n- Data classification guidelines\n- Vendor security requirements\n\n### 5. QUALITY CONTROL AND VERIFICATION\n- Mandatory human review requirements\n- Verification procedures for AI outputs\n- Documentation standards\n- Error reporting and correction\n\n### 6. CLIENT DISCLOSURE AND CONSENT\n- Disclosure requirements by matter type\n- Consent procedures\n- Engagement letter language\n- Client communication templates\n\n### 7. TRAINING AND COMPETENCE\n- Mandatory training requirements\n- Competence verification\n- Ongoing education\n- New attorney onboarding\n\n### 8. SUPERVISION AND ACCOUNTABILITY\n- Supervisory responsibilities\n- Partner oversight requirements\n- Associate and staff guidelines\n- Accountability framework\n\n### 9. COMPLIANCE AND MONITORING\n- Compliance verification procedures\n- Audit requirements\n- Reporting obligations\n- Record retention\n\n### 10. INCIDENT RESPONSE\n- Incident identification and reporting\n- Response procedures\n- Client notification requirements\n- Remediation steps\n\n### 11. POLICY GOVERNANCE\n- Policy ownership\n- Amendment procedures\n- Exception requests\n- Annual review process\n\n### APPENDICES\n- Appendix A: Approved AI Tools List\n- Appendix B: AI Use Request Form\n- Appendix C: Client Disclosure Templates\n- Appendix D: Training Acknowledgment Form\n\nWrite the policy in formal legal language appropriate for a law firm policy document. Include specific references to applicable rules and regulations identified in the research. Make the policy comprehensive but practical for implementation.",
"options": {
"systemMessage": "You are a legal policy drafting expert who creates comprehensive governance policies for law firms. Write in formal legal policy language with clear, enforceable provisions. Include specific regulatory citations where appropriate. Create practical, implementable policies that balance compliance requirements with operational efficiency.\nCRITICAL: Output the content using HTML tags only. Do not use Markdown (e.g., no ### or |---|). Use , |
for any structured data. Do not include or tags in your response, just the inner content."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "e86a9734-1bbe-46c4-9252-1165eb0d1156",
"name": "OpenAI Policy Drafting",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2080,
576
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {
"temperature": 0.4
}
},
"typeVersion": 1.2
},
{
"id": "3ab89ecd-ec06-4c21-bcfb-8dd79398d3ee",
"name": "Roadmap Development Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2080,
1408
],
"parameters": {
"text": "=Create a detailed Next Steps and Implementation Plan for AI Governance at:\n\n{{ $json.firmContext }}\n\nBased on the following research:\n{{ $json.combinedResearch }}\n\nCreate an actionable implementation roadmap with:\n\n## IMMEDIATE ACTIONS (Next 30 Days)\n- Critical compliance steps\n- Quick wins to implement immediately\n- Risk mitigation priorities\n- Specific tasks with responsible parties\n\n## SHORT-TERM IMPLEMENTATION (30-90 Days)\n- Policy finalization and approval process\n- Training program development\n- Tool assessment and approval\n- Client communication rollout\n- Documentation system setup\n\n## MEDIUM-TERM GOALS (90-180 Days)\n- Full policy implementation\n- Training completion milestones\n- Monitoring system implementation\n- First compliance audit\n- Policy refinement based on feedback\n\n## LONG-TERM OBJECTIVES (6-12 Months)\n- Mature governance program\n- Advanced AI use case expansion\n- Industry benchmarking\n- Continuous improvement processes\n\n## RESOURCE REQUIREMENTS\n- Personnel needs\n- Budget estimates\n- Technology investments\n- External expertise (if needed)\n\n## KEY MILESTONES AND DEADLINES\n- Compliance deadlines (regulatory)\n- Internal milestones\n- Review dates\n- Reporting requirements\n\n## SUCCESS METRICS\n- KPIs for AI governance program\n- Compliance metrics\n- Training completion rates\n- Incident tracking\n\n## RECOMMENDED NEXT MEETING AGENDA\n- Topics to address in follow-up session\n- Decisions needed from leadership\n- Information to gather\n\nFormat as an actionable project plan that the firm can begin executing immediately.",
"options": {
"systemMessage": "You are a legal technology implementation consultant who creates practical, actionable implementation plans for law firms. Create specific, measurable action items with clear timelines and responsibilities. Focus on practical steps that a law firm can realistically accomplish.\nCRITICAL: Output the content using HTML tags only. Do not use Markdown (e.g., no ### or |---|). Use , |
| for any structured data. Do not include or tags in your response, just the inner content."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "558cd69e-482a-4f15-b9e3-3b2b01319417",
"name": "OpenAI Roadmap Analysis",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2080,
1568
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "gpt-4.1-mini"
},
"options": {
"temperature": 0.4
}
},
"typeVersion": 1.2
},
{
"id": "c8c66b04-04ee-43cf-bf3c-626d6ad3f82c",
"name": "Combine Generated Outputs",
"type": "n8n-nodes-base.merge",
"position": [
2480,
240
],
"parameters": {
"numberInputs": 4
},
"typeVersion": 3.1
},
{
"id": "c75d8b82-bc12-4566-b5ab-2fdf9191117d",
"name": "Create Branded HTML",
"type": "n8n-nodes-base.code",
"position": [
2624,
272
],
"parameters": {
"jsCode": "// Compile generated outputs using POSITIONAL indexing, apply branded HTML\nconst items = $input.all();\nconst firmData = $('Compile Research Data').first().json;\n\n// Extract content by POSITION\nconst executiveSummary = (items[0] && items[0].json) ? (items[0].json.output || '') : '';\nconst brainstormingTopics = (items[1] && items[1].json) ? (items[1].json.output || '') : '';\nconst draftPolicy = (items[2] && items[2].json) ? (items[2].json.output || '') : '';\nconst nextSteps = (items[3] && items[3].json) ? (items[3].json.output || '') : '';\n\nconst reportDate = firmData.reportDate || new Date().toLocaleDateString('en-US', { year: 'numeric', month: 'long', day: 'numeric' });\nconst reportId = firmData.reportId || 'AIGOV-' + Date.now().toString(36).toUpperCase();\nconst firmName = firmData.firmName || 'Client Firm';\nconst firmEmail = firmData.firmEmail || '';\nconst firmContactName = firmData.firmContactName || '';\nconst logoUrl = 'YOUR_LOGO_URL';\n\nfunction processContent(content) {\n if (!content) return ' Content not available ';\n const containsHtml = /<[a-z][\\s\\S]*>/i.test(content);\n if (containsHtml) return content.trim();\n let html = content\n .replace(/^### (.+)$/gm, '$1')\n .replace(/^## (.+)$/gm, '$1')\n .replace(/^# (.+)$/gm, '$1')\n .replace(/\\*\\*(.+?)\\*\\*/g, '$1')\n .replace(/^- (.+)$/gm, '')\n .replace(/\\n/g, '
\\n \\n ' + (isDraft ? '' : '') + '\\n \\n \\n AI Governance Policy\\n' + subtitle + ' \\n \\n' + processContent(content) + ' \\n \\n\\n';\n};\n\nconst docs = [\n { sub: 'Executive Summary', cont: executiveSummary, draft: false },\n { sub: 'Strategic Discussion Guide', cont: brainstormingTopics, draft: false },\n { sub: 'Draft Policy Framework', cont: draftPolicy, draft: true },\n { sub: 'Implementation Roadmap', cont: nextSteps, draft: false }\n];\n\nconst dateStr = new Date().toISOString().split('T')[0];\nconst safeName = firmName.replace(/[^a-zA-Z0-9]/g, '_');\n\nreturn docs.map((doc, i) => {\n const html = createHtmlDoc(doc.sub, doc.cont, doc.draft);\n return {\n json: {\n fileName: safeName + '_' + doc.sub.replace(/\\s+/g, '_') + '_' + dateStr + '.pdf',\n docTitle: doc.sub,\n firmName: firmName,\n firmEmail: firmEmail,\n firmContactName: firmContactName,\n reportId: reportId,\n reportDate: reportDate,\n docIndex: i\n },\n binary: {\n data: {\n data: Buffer.from(html, 'utf-8').toString('base64'),\n mimeType: 'text/html',\n fileName: 'index.html'\n }\n }\n };\n});"
},
"typeVersion": 2
},
{
"id": "a5d43dbd-a4e7-4226-9f4c-f3049e8c57b5",
"name": "Convert HTML to PDF",
"type": "n8n-nodes-base.httpRequest",
"position": [
2800,
272
],
"parameters": {
"url": "https://YOUR_GOTENBERG_HOST/forms/chromium/convert/html",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "index1.html",
"parameterType": "formBinaryData",
"inputDataFieldName": "=data"
}
]
},
"genericAuthType": "httpBasicAuth",
"headerParameters": {
"parameters": [
{
"name": "Gotenberg-Output-Filename",
"value": "={{ $json.fileName }}"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "82bcd886-9b16-4fbd-a04f-a8c204f9407d",
"name": "Upload PDF to SharePoint",
"type": "n8n-nodes-base.microsoftSharePoint",
"position": [
2992,
272
],
"parameters": {
"site": {
"__rl": true,
"mode": "list",
"value": "YOUR_SHAREPOINT_SITE_ID",
"cachedResultName": "YOUR_SITE_NAME"
},
"folder": {
"__rl": true,
"mode": "list",
"value": "YOUR_FOLDER_ID",
"cachedResultName": "Policy Documents"
},
"fileName": "={{ $json.fileName }}",
"operation": "upload",
"fileContents": "data",
"requestOptions": {}
},
"typeVersion": 1
},
{
"id": "50f4af97-cf48-4186-ae6e-2713f4fa6e6f",
"name": "Generate Share Links",
"type": "n8n-nodes-base.code",
"position": [
3152,
272
],
"parameters": {
"jsCode": "// Build SharePoint share links from upload responses\nconst items = $input.all();\nconst compileItems = $('Create Branded HTML').all();\n\nreturn items.map((item, index) => {\n const shareLink = item.json.webUrl || '';\n const upstream = compileItems[index] ? compileItems[index].json : {};\n return {\n json: {\n fileName: upstream.fileName || item.json.name || '',\n docTitle: upstream.docTitle || '',\n docIndex: upstream.docIndex ?? index,\n shareLink,\n firmName: upstream.firmName || '',\n firmEmail: upstream.firmEmail || '',\n firmContactName: upstream.firmContactName || '',\n reportId: upstream.reportId || '',\n reportDate: upstream.reportDate || ''\n }\n };\n});"
},
"typeVersion": 2
},
{
"id": "024dc629-e6c1-47d4-898d-d36f9e02f386",
"name": "Collect SharePoint Links",
"type": "n8n-nodes-base.aggregate",
"position": [
3328,
272
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "0c61c319-417b-4d27-b4c5-0dbde66bf047",
"name": "Draft Review Email",
"type": "n8n-nodes-base.code",
"position": [
3520,
272
],
"parameters": {
"jsCode": "// Prepare internal review email with SharePoint links and draft forward message\nconst allData = $input.first().json;\nconst items = allData.data || [allData];\nconst firstItem = Array.isArray(items) ? items[0] : items;\n\nconst firmName = firstItem.firmName || 'Client Firm';\nconst firmEmail = firstItem.firmEmail || '';\nconst firmContactName = firstItem.firmContactName || '';\nconst reportId = firstItem.reportId || '';\nconst reportDate = firstItem.reportDate || '';\n\nconst docLinks = [];\nif (Array.isArray(items)) {\n const sorted = [...items].sort((a, b) => (a.docIndex || 0) - (b.docIndex || 0));\n sorted.forEach(item => {\n docLinks.push({\n title: item.docTitle || item.fileName,\n link: item.shareLink || '#'\n });\n });\n}\n\nlet linksHtml = '';\ndocLinks.forEach((doc, i) => {\n linksHtml += ''\n + ' ';\n\nconst emailBody = 'DRAFT MESSAGE TO FORWARD TO REQUESTOR'\n + 'Copy the text below into a new email to the requestor after reviewing all documents. '\n + ''\n + ' '\n + '' + contactGreeting + ', '\n + 'Thank you for requesting an AI Governance Policy. Your customized documents are complete and ready for your review. '\n + 'Your documents: '\n + '
Please note: '\n + '
If you have questions or would like assistance with implementation, please reach out. '\n + ''\n + ' ';\n\nreturn [{ json: { emailBody, firmName, reportId } }];"
},
"typeVersion": 2
},
{
"id": "63afca65-af22-4f8c-b0be-e800ccd23b1e",
"name": "Send Review Email",
"type": "n8n-nodes-base.microsoftOutlook",
"position": [
3680,
272
],
"parameters": {
"subject": "=[REVIEW] AI Governance Documents - {{ $json.firmName }} ({{ $json.reportId }})",
"bodyContent": "={{ $json.emailBody }}",
"toRecipients": "user@example.com",
"additionalFields": {}
},
"typeVersion": 2
},
{
"id": "339fb181-98e8-4c1f-aacf-0b8ae37b5d1b",
"name": "Sticky \u2014 Workflow Overview",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
80
],
"parameters": {
"width": 500,
"height": 1000,
"content": "### AI Governance Policy Generator\n\nDesigned for legal technology consultants and law firms who need a research-backed, customized AI governance policy package. A webhook intake form triggers the workflow; four parallel AI research agents gather current intelligence, and four parallel generation agents produce four professional PDF documents delivered to SharePoint.\n\n### How it works\n1. A POST request arrives from a website intake form (Webhook trigger)\n2. **Validate & Enrich** parses and normalizes the form fields\n3. An **immediate JSON response** is returned to the browser\n4. Four **Research Agents** run in parallel using GPT-4.1 + SerpAPI: EU AI Act, ABA Ethics, Case Law & Sanctions, and Jurisdiction-Specific Regulations\n5. Research is **merged and aggregated** into a unified context object\n6. Four **Generation Agents** produce: Executive Summary, Discussion Guide, Draft Policy Framework, and Implementation Roadmap as HTML\n7. **Compile Outputs** wraps each document in branded HTML\n8. Documents are **converted to PDF** via Gotenberg and **uploaded to SharePoint**\n9. An **internal review email** is sent via Outlook with SharePoint links and a pre-drafted forwarding message\n\n### Setup\n1. Add credentials: **OpenAI**, **SerpAPI**, **Microsoft SharePoint**, **Microsoft Outlook**, and **Gotenberg Basic Auth**\n2. Install the `n8n-nodes-serpapi` community node (Settings \u2192 Community Nodes)\n3. Update the SharePoint **site ID** and **folder ID** in the `SharePoint \u2014 Upload PDF` node\n4. Update the **recipient email address(es)** in the `Outlook \u2014 Send Review Email` node\n5. Verify the **Gotenberg URL** in the `HTTP \u2014 Convert HTML to PDF` node\n6. Configure the webhook path to match your intake form endpoint\n\n### Customization\n- Swap SerpAPI for **Tavily** (`@n8n/n8n-nodes-langchain.toolTavily`) for AI-optimized search without a community node\n- Add or remove research agent branches to expand or narrow research scope\n- Update HTML branding in **Code \u2014 Compile Branded HTML** to match your organization\n\nSupport: support@legalgpts.com\nhttps://automatedintelligentsolutions.com"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "5f43235a-9216-495e-af7b-372c7faa79c0",
"connections": {
"Search Case Law": {
"ai_tool": [
[
{
"node": "Case Law Research Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Search EU AI Act": {
"ai_tool": [
[
{
"node": "EU AI Act Research Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Search ABA Ethics": {
"ai_tool": [
[
{
"node": "ABA Ethics Research Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Draft Policy Agent": {
"main": [
[
{
"node": "Combine Generated Outputs",
"type": "main",
"index": 2
}
]
]
},
"Draft Review Email": {
"main": [
[
{
"node": "Send Review Email",
"type": "main",
"index": 0
}
]
]
},
"Convert HTML to PDF": {
"main": [
[
{
"node": "Upload PDF to SharePoint",
"type": "main",
"index": 0
}
]
]
},
"Create Branded HTML": {
"main": [
[
{
"node": "Convert HTML to PDF",
"type": "main",
"index": 0
}
]
]
},
"Respond via Webhook": {
"main": [
[
{
"node": "EU AI Act Research Agent",
"type": "main",
"index": 0
},
{
"node": "ABA Ethics Research Agent",
"type": "main",
"index": 0
},
{
"node": "Case Law Research Agent",
"type": "main",
"index": 0
},
{
"node": "Jurisdiction Regulations Agent",
"type": "main",
"index": 0
}
]
]
},
"When Form Submitted": {
"main": [
[
{
"node": "Process and Validate Data",
"type": "main",
"index": 0
}
]
]
},
"Generate Share Links": {
"main": [
[
{
"node": "Collect SharePoint Links",
"type": "main",
"index": 0
}
]
]
},
"Compile Research Data": {
"main": [
[
{
"node": "Executive Summary Agent",
"type": "main",
"index": 0
},
{
"node": "Discussion Guide Agent",
"type": "main",
"index": 0
},
{
"node": "Draft Policy Agent",
"type": "main",
"index": 0
},
{
"node": "Roadmap Development Agent",
"type": "main",
"index": 0
}
]
]
},
"Discussion Guide Agent": {
"main": [
[
{
"node": "Combine Generated Outputs",
"type": "main",
"index": 1
}
]
]
},
"OpenAI Policy Drafting": {
"ai_languageModel": [
[
{
"node": "Draft Policy Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Case Law Research Agent": {
"main": [
[
{
"node": "Combine Research Findings",
"type": "main",
"index": 2
}
]
]
},
"Executive Summary Agent": {
"main": [
[
{
"node": "Combine Generated Outputs",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Roadmap Analysis": {
"ai_languageModel": [
[
{
"node": "Roadmap Development Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Summary Analysis": {
"ai_languageModel": [
[
{
"node": "Executive Summary Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Collect SharePoint Links": {
"main": [
[
{
"node": "Draft Review Email",
"type": "main",
"index": 0
}
]
]
},
"EU AI Act Research Agent": {
"main": [
[
{
"node": "Combine Research Findings",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Case Law Analysis": {
"ai_languageModel": [
[
{
"node": "Case Law Research Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Search Jurisdiction Laws": {
"ai_tool": [
[
{
"node": "Jurisdiction Regulations Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Upload PDF to SharePoint": {
"main": [
[
{
"node": "Generate Share Links",
"type": "main",
"index": 0
}
]
]
},
"ABA Ethics Research Agent": {
"main": [
[
{
"node": "Combine Research Findings",
"type": "main",
"index": 1
}
]
]
},
"Combine Generated Outputs": {
"main": [
[
{
"node": "Create Branded HTML",
"type": "main",
"index": 0
}
]
]
},
"Combine Research Findings": {
"main": [
[
{
"node": "Compile Research Data",
"type": "main",
"index": 0
}
]
]
},
"OpenAI EU AI Act Analysis": {
"ai_languageModel": [
[
{
"node": "EU AI Act Research Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Process and Validate Data": {
"main": [
[
{
"node": "Respond via Webhook",
"type": "main",
"index": 0
}
]
]
},
"Roadmap Development Agent": {
"main": [
[
{
"node": "Combine Generated Outputs",
"type": "main",
"index": 3
}
]
]
},
"OpenAI ABA Ethics Analysis": {
"ai_languageModel": [
[
{
"node": "ABA Ethics Research Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Discussion Analysis": {
"ai_languageModel": [
[
{
"node": "Discussion Guide Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Jurisdiction Analysis": {
"ai_languageModel": [
[
{
"node": "Jurisdiction Regulations Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Jurisdiction Regulations Agent": {
"main": [
[
{
"node": "Combine Research Findings",
"type": "main",
"index": 3
}
]
]
}
}
}'\n + ' '\n + 'Internal Review Required \ufffd AI Governance Documents'\n + ''\n + ' '\n + 'New AI Governance Policy documents have been generated and require your review before delivery. '\n + ''\n + ' '\n + 'REQUESTOR INFORMATION'\n + '
'\n + ' '\n + draftForwardMessage\n + 'GENERATED DOCUMENTS (SharePoint)'\n + '
|