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 PDFnoted Compliance 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. PDFnoted Compliance compliance-check — Shared compliance review across configured CN, EU and US rule sources 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 ↗
PDFnoted Compliancecompliance-check

Shared compliance review across configured CN, EU and US rule sources

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.