Decentralized Legal Intelligence
AI-powered contract workflows with security, auditability, and trust by design.
Problem
Legal work is still too manual, too fragmented, and too risky.
- Contracts scattered across inboxes, drives, and siloed tools.
- Review quality varies by reviewer, time, and workload.
- AI point tools can speed tasks, but don’t solve governance or trust.
Solution
Legal Chain turns legal AI into an end-to-end workflow—built for trust.
Draft
Generate contracts and clauses aligned to real workflows—not generic prompts.
Analyze
Extract clauses, flag issues, and summarize obligations for fast decisions.
Validate
Human-in-the-loop checks + structured outputs for consistent oversight.
Secure
Blockchain-anchored integrity for tamper-evidence and audit trails.
Product
Workflow-first adoption: intake → intelligence → action → audit trail.
Primary Workflows
- Intake → Upload → Clause Extraction → Risk Signals
- Draft → Review → Redlines → Approvals
- Secure Storage → Audit Trail → Retrieval
Designed for Real Users
- Startups & SMBs (fast contracting + fundraising docs)
- Paralegals & Legal Ops (volume workflows + standardization)
- Attorneys & Firms (assistive intelligence + oversight)
Why Now
Legal AI is shifting from “chat” to operational systems.
Moat
Beyond point tools: trust-by-design legal intelligence.
Workflow-Native AI
Automation embedded into legal work—not separate chat experiences.
Verification + Auditability
Structured outputs + integrity anchoring for defensible decisions.
Security Posture
Designed for confidentiality, retention, and governance requirements.
Composable Platform
Serve individuals through enterprise with extensible workflows.
Traction
Beta is live—building with real users and real workflows.
Signals We Track
- Time-to-draft and time-to-review reductions
- Clause consistency and issue capture
- Repeat usage and workflow completion
What We’re Proving
- Faster cycles without sacrificing oversight
- Clear governance and audit trails
- High adoption through workflow-first design
Growth & Financials
Our 60-month model projects aggressive scaling in the legal-tech sector. Access the full financial projections and data structure below.
What this supports
Investor diligence, scenario planning, and disciplined operating targets.
How to use it
Review assumptions, validate growth drivers, and stress-test key levers.
Why it matters
Clear visibility into scaling paths and capital efficiency over 60 months.
Data structure
Built to be shareable, auditable, and easy to extend during beta learnings.
Team
Operators + builders + legal expertise—aligned on trust and execution.
Execution
Product delivery, operations, and GTM built for speed and quality.
Legal Depth
Grounded in practical workflows and review oversight requirements.
Security Mindset
Trust model built around integrity, auditability, and defensible outputs.
Community
Built with real user feedback loops during beta to drive adoption.
Business Model
Subscription platform with tiers that scale from individuals to enterprise.
Raise / Next Steps
Exploratory raise context: SAFE or priced round — $10,000,000.
Use of Funds
- Product: workflows, UX, reliability, and model quality
- Security & compliance: controls, monitoring, governance
- Go-to-market: partnerships, community, onboarding
- Operations: scalable support and customer success
