中文
ProLegal7 nodes
Score 78

AI Contract Review

Upload contracts — clause segmentation, risk scoring across 18 frameworks, redline memo generation, and an issue register in one 7-node automated pipeline.

What does this workflow do?

合同文本结构化提取 → 篇章段落自动分割与 20+ 条款类型分类 → AI 逐条风险评分(金额阈值/责任分配/期限/管辖权)→ 缺失条款检测(行业标准清单)→ 修改建议与谈判策略生成 → 合法合规交叉校验(177 部法规库 · 共享 PDFNoted 双引擎检索)→ 双格式输出(Word 审查报告 + Excel 合规追踪表)

System flow

合同文本结构化提取 → 篇章段落自动分割与 20+ 条款类型分类 → AI 逐条风险评分(金额阈值/责任分配/期限/管辖权)→ 缺失条款检测(行业标准清单)→ 修改建议与谈判策略生成 → 合法合规交叉校验(177 部法规库 · 共享 PDFNoted 双引擎检索)→ 双格式输出(Word 审查报告 + Excel 合规追踪表)

Pipeline breakdown

PyPDF pdf LLM Reasoning text Pandas json LLM Reasoning json compliance-check json Python-DOCX json OpenPyXL json
  1. PyPDF pypdf — PDF text and metadata extraction, page-level splitting pdf → text
  2. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output text → json
  3. Pandas pandas — Tabular compute — join, aggregate, validate and reshape the extracted records json → json
  4. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  5. compliance-check compliance-check — Processing step json → json
  6. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling json → docx
  7. OpenPyXL openpyxl — Writes a formatted, formula-ready Excel workbook as the deliverable json → xlsx

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

78Overall
★★★★ 4.6
Executions
30
Success rate
100
Update frequency
85
Component quality
96
User rating
92

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

PyPDFpypdf

PDF text and metadata extraction, page-level splitting

py-pdf/pypdf ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Pandaspandas

Tabular compute — join, aggregate, validate and reshape the extracted records

pandas-dev/pandas ↗
compliance-checkcompliance-check

Processing step

FlowSync proprietary
Python-DOCXpython-docx

Renders the final Word document with headings, tables and styling

python-openxml/python-docx ↗
OpenPyXLopenpyxl

Writes a formatted, formula-ready Excel workbook as the deliverable

theorchard/openpyxl ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • 供应商合同批量审查
  • 投资协议条款清单
  • NDA 标准化审查
  • 并购尽职调查
  • 跨境合同 GDPR/CCPA 合规
  • 劳动合同合法性审查

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · 30% commission on forks · PRO tier · Official

Field notes

LawGeex $500/月,FlowSync $19/月。合规校验直接引用民法典合同编和公司法,法务团队审核时间缩短 70%。

— 法务总监 James, 企业法务

投资意向书 AI 审查加合规校验,指出一条可能违反反垄断法的条款,规避了重大风险。

— 创业者 杨, 创始人

GDPR 和 CCPA 交叉校验非常实用,处理跨境数据共享协议时一键定位合规风险点。

— 合规官 Lisa, 跨国企业合规

Data handling

合同内容涉及商业机密,文档仅在您的会话中加密处理,不落盘存储,不用于模型训练。法规库静态存储于服务器,不涉及您的合同数据。处理完成后支持一键彻底删除。企业版支持私有化部署。

FlowSync Workflow Marketplace · 78 reputation score · 30% execution · 100% success · 7-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Upload contracts — clause segmentation, risk scoring across 18 frameworks, redline memo generation, and an issue register in one 7-node automated pipeline.