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Legal Documents

该 Skill 通过 CellCog API(chat_mode=agent、chat_tier=max)按自然语言提示起草合同、NDA、服务条款、隐私政策、合规清单与法律备忘录,输出具备专业排版的法律文档/PDF;声明不构成法律意见,建议律师复核,首次使用需参照 cellcog SDK 并配置 CELLCOG_API_KEY。

cellcog
cellcog
热度 72.89
最近更新 2026-08-24 10:04:48
分类:知识依赖:代码执行 / 第三方 API / 内部调用大模型应用场景:法律文档 / 研究 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add legal-documents-cellcog
Metadata
name
legal-documents-cellcog
description
AI legal documents and contract drafting powered by CellCog. Contracts, NDAs, terms of service, privacy policies, freelance agreements, employment contracts, compliance reviews, legal research. Precision legal drafting from natural language prompts. Not legal advice.
metadata
{"openclaw":{"emoji":"⚖️","os":["darwin","linux","windows"],"requires":{"bins":["python3"],"env":["CELLCOG_API_KEY"]}}}
author
CellCog
homepage
https://cellcog.ai
dependencies
["cellcog"]

Legal Documents - AI Legal Drafting Powered by CellCog

Legal demands two things: frontier-level reasoning and precision document generation. CellCog delivers both.

Legal is the frontier of human intelligence — and it's done best when powered by the frontier of AI intelligence. #1 on DeepResearch Bench (Apr 2026) for the deep reasoning that legal work requires, paired with state-of-the-art PDF generation for documents that look as professional as the thinking behind them.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
    chat_tier="max",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
    chat_tier="max",
)
print(result["message"])

Important Note

CellCog generates legal documents using frontier AI reasoning and research. However, AI-generated legal documents should be reviewed by a qualified attorney before execution — especially for high-value contracts, regulated industries, or jurisdiction-specific requirements. CellCog provides an excellent starting point that saves significant time and cost, but human legal review remains important for critical documents.


What You Can Create

Contracts & Agreements

Professional contracts with proper clause structure:

  • Freelance Agreements: "Create a freelance services agreement for a web development project"
  • Employment Contracts: "Draft an employment contract for a senior engineer in California"
  • Consulting Agreements: "Create a consulting agreement with milestone-based payments"
  • Partnership Agreements: "Draft a partnership agreement for a 60/40 equity split startup"
  • Licensing Agreements: "Create a software licensing agreement for SaaS distribution"

Example prompt:

"Create a freelance contractor agreement:

Client: Acme Corp (Delaware C-Corp) Contractor: Jane Smith (Web Developer, sole proprietor) Project: E-commerce website redesign Duration: 3 months (March 1 – May 31, 2026) Payment: $15,000 (50% upfront, 50% on completion)

Include: Scope of work, deliverables, payment terms, IP ownership (work-for-hire), confidentiality, non-solicitation, termination clauses, dispute resolution (arbitration).

Professional legal formatting with numbered clauses."

NDAs & Confidentiality

Protect your information:

  • Mutual NDA: "Create a mutual NDA between two companies exploring a partnership"
  • Employee NDA: "Draft an employee confidentiality agreement with non-compete"
  • Investor NDA: "Create an NDA for sharing financial information with potential investors"
  • Vendor NDA: "Draft a one-way NDA for a vendor accessing our customer data"

Terms & Policies

Legal foundations for digital products:

  • Terms of Service: "Create terms of service for a SaaS platform"
  • Privacy Policy: "Draft a GDPR and CCPA-compliant privacy policy for a mobile app"
  • Cookie Policy: "Create a cookie consent policy for a European-facing website"
  • Acceptable Use Policy: "Draft an acceptable use policy for a community platform"
  • EULA: "Create an end-user license agreement for desktop software"
  • Return Policy: "Draft a refund and return policy for an e-commerce store"

Example prompt:

"Create a comprehensive privacy policy for:

Company: HealthTrack (health & fitness mobile app) Data collected: Name, email, health metrics, workout data, location (optional) Third parties: Stripe (payments), Firebase (analytics), AWS (hosting) Jurisdictions: Must comply with GDPR (EU users), CCPA (California), and HIPAA (health data)

Include: Data collection, use, storage, sharing, user rights, data deletion, breach notification, children's privacy (13+ only), and contact information.

Professional formatting, clear language (not impenetrable legalese)."

Legal Research & Compliance

Research-powered legal intelligence:

  • Regulatory Research: "Research GDPR requirements for AI-powered SaaS products"
  • Compliance Checklists: "Create a SOC 2 compliance checklist for a startup"
  • Legal Memos: "Draft a legal memo on intellectual property considerations for AI-generated content"
  • Jurisdiction Analysis: "Compare contractor vs. employee classification rules across US states"

Startup Legal Documents

Essential documents for founders:

  • SAFE Notes: "Create a SAFE note template for a pre-seed round"
  • Founder Agreements: "Draft a co-founder agreement with vesting schedules"
  • Advisor Agreements: "Create an advisor agreement with 0.5% equity and 2-year vesting"
  • Board Resolutions: "Draft a board resolution for approving a new equity plan"

Why CellCog for Legal?

The Two Pillars

1. Intelligence — Legal work requires deep reasoning about context, jurisdiction, edge cases, and implications. CellCog's #1 ranking on DeepResearch Bench means it reasons about legal nuances at a level other AI tools can't match.

2. Document Generation — Legal documents need precise formatting, proper clause numbering, consistent terminology, and professional presentation. CellCog's state-of-the-art PDF generation produces documents that look like they came from a top law firm.

Generic AI CellCog Legal Cog
Generic contract templates Jurisdiction-aware, context-specific drafting
Basic text output Professional PDF with proper legal formatting
Surface-level clauses Deep reasoning about edge cases and implications
One format Contracts, policies, memos, research — all from one platform

Choosing Mode & Tier

Use chat_mode="agent", chat_tier="max" for legal work. Legal drafting is quality-critical — the cost of an error far exceeds the cost of deeper reasoning.

Scenario Recommended
Contracts, filings, compliance documents chat_mode="agent", chat_tier="max"
Informal summaries of a document you provide chat_mode="agent" (defaults to "flash")

Agent Team (chat_mode="team") is reserved for deep research — legal work runs best on Agent max. chat_mode="team" for multi-jurisdiction regulatory RESEARCH (research, not drafting).


Tips for Better Legal Documents

  1. Specify jurisdiction: "A contract" is vague. "A Delaware-governed contract for California-based parties" gives CellCog the legal context it needs.

  2. Name the parties clearly: Include entity types (LLC, Corp, sole proprietor) and locations.

  3. Define the deal terms: Payment amounts, timelines, equity splits, deliverables — the more specific, the better.

  4. State what clauses matter: "Include IP assignment, non-compete, and arbitration" focuses the document.

  5. Indicate formality level: "Standard startup-friendly language" vs. "formal corporate tone" changes the output significantly.


If CellCog is not installed

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: openclaw skills install @cellcog/cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.