Install
openclaw skills install legal-cogAI legal document generation powered by CellCog. Contracts, NDAs, terms of service, privacy policies, freelance agreements, employment contracts, compliance...
openclaw skills install legal-cogLegal 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.
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",
)
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",
)
print(result["message"])
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.
Professional contracts with proper clause structure:
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."
Protect your information:
Legal foundations for digital products:
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)."
Research-powered legal intelligence:
Essential documents for founders:
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 |
| Scenario | Recommended Mode |
|---|---|
| Single contract, NDA, or policy | "agent" |
| Complex multi-document legal packages | "agent" |
| Deep regulatory research or compliance analysis | "agent team" |
| High-stakes contracts, litigation research, regulatory filings | "agent team max" |
Use "agent" for most legal documents. CellCog handles contracts, policies, and standard legal documents excellently in agent mode.
Use "agent team" for complex legal research — multi-jurisdiction compliance analysis, regulatory deep-dives, or when the legal reasoning itself is the deliverable.
Use "agent team max" for high-stakes legal work — litigation preparation, M&A due diligence contracts, regulatory compliance for heavily regulated industries, or any legal work where the cost of an error far exceeds the cost of deeper analysis. All settings are maxed for the deepest reasoning. Requires ≥2,000 credits.
Specify jurisdiction: "A contract" is vague. "A Delaware-governed contract for California-based parties" gives CellCog the legal context it needs.
Name the parties clearly: Include entity types (LLC, Corp, sole proprietor) and locations.
Define the deal terms: Payment amounts, timelines, equity splits, deliverables — the more specific, the better.
State what clauses matter: "Include IP assignment, non-compete, and arbitration" focuses the document.
Indicate formality level: "Standard startup-friendly language" vs. "formal corporate tone" changes the output significantly.
Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate.
OpenClaw users: Run clawhub install cellcog instead.
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.