AI Contract Review Agent Template
Seven-node legal pipeline: clause segmentation, risk scoring against 18 regulatory frameworks, missing-term detection and a redline memo with an issue register.
No credit card for free-tier templates · every node inspectable · export or fork at any time
中文What this workflow does
Upload contract PDF → 7-node pipeline: text → clause classification → risk scoring → missing detection → legal compliance check (18 laws: CN Contract Law/PRC Company Law/EU GDPR/US CCPA etc.) → review report + amendment tracker. Rivals LawGeex $500+/mo.
A review memo plus an Excel issue register scored by severity.
Pipeline breakdown
7 nodes, executed in order. Every step is white-box — inspect the model, the prompt and the intermediate payload.
- 01
PyPDF
PDF text and metadata extraction, page-level splitting
pdf→text - 02
LLM Reasoning
Large-language-model step that extracts, classifies, validates or writes structured output
text→json - 03
Pandas
Tabular compute — join, aggregate, validate and reshape the extracted records
json→json - 04
LLM Reasoning
Large-language-model step that extracts, classifies, validates or writes structured output
json→json - 05
LLM Reasoning
Large-language-model step that extracts, classifies, validates or writes structured output
json→json - 06
Python-DOCX
Renders the final Word document with headings, tables and styling
json→docx - 07
OpenPyXL
Writes a formatted, formula-ready Excel workbook as the deliverable
json→xlsx
Built for
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
FlowSync vs LawGeex / Luminance vs generic workflow builders
| FlowSync template | LawGeex / Luminance | n8n / Zapier / Make | |
|---|---|---|---|
| Time to first result | Minutes — pipeline pre-built | Minutes, single-purpose | Hours — you design the flow |
| Intelligence included | Prompts, validation, output schema tuned | Fixed product logic | None — you write it |
| Editable pipeline | Every node exposed | Closed product | Fully editable |
| Chainable with other AI skills | 7 skills here, 50+ available | Limited | Via API glue only |
| Output format | Business deliverable (Excel / DOCX / MP4) | Product-native export | JSON, then DIY |
The short version: workflow builders give you a canvas, point products give you one fixed answer. A FlowSync template gives you a working pipeline you can still open up and change.
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%。
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。
FAQ
Is the Contract AI clause review template free to run?
The template is on the Pro tier. You can inspect the full pipeline, node configuration and expected output for free; running it requires a Pro plan, which also unlocks every other Pro template.
How is this different from building the same flow in n8n or Zapier?
7 pre-configured nodes (PyPDF → LLM Reasoning → Pandas → LLM Reasoning → LLM Reasoning → Python-DOCX → OpenPyXL) with prompts, validation and output formatting already tuned for the task. You import it and get the deliverable, not a blank canvas.
Can I edit the pipeline or swap a node?
Yes. Every node is exposed in the editor — change the model, rewrite a prompt, insert or remove a step, then save it as your own private template. Nothing is a black box.
What do I actually get back?
A review memo plus an Excel issue register scored by severity.
What happens to the files I upload?
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。
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。
中文说明 · 合同 AI 条款审查（对标 LawGeex）
合同 AI 条款审查（对标 LawGeex）（法务 · Pro）
上传合同 PDF → 7 节点管线：文本提取 → 条款分类 → 风险评分 → 缺失检测 → 合法合规校验（民法典合同编/劳动合同法/公司法等 18 部法规）→ 审查报告 + 修改追踪表。对标 LawGeex $500+/月。内置 18 部中/美/欧法规库参考。
管线共 7 个节点：PyPDF → LLM Reasoning → Pandas → LLM Reasoning → LLM Reasoning → Python-DOCX → OpenPyXL。每个节点均可在编辑器中查看与修改，支持另存为你自己的私有模板。
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Open →Run it, then make it yours
Import the pipeline, swap a model, rewrite a prompt, save it private. FlowSync is the execution layer — the template is just the starting point.