UniClause
AI-Powered Contract Review
Every contract review should be verifiable, traceable, and justifiable.
A RAG-driven explainable AI platform that says goodbye to "black box" judgments, reshaping the legal workflow.
Core Features
Full-process loop, from risk identification to clause replenishment
Intelligent Clause Extraction & Risk Identification
Build your own review groups and checkpoints, paragraph-level RAG retrieval, auto-recall most relevant clause paragraphs, achieving risk classification and two-way comparison editing.
Smart Missing Clause Completion
Automatically discovers missing clauses through semantic similarity and generates insertion suggestions based on context, maintaining document integrity.
Visual Review Progress
Real-time display of vectorization, retrieval, review, completion full lifecycle status tracking.
Local Data Center & Multi-Model Federation
Privacy First (Local First)
Sensitive data locally desensitized, IndexedDB local vector store, enterprise fully offline deployment supported.
Model Federation
Embedding and LLM decoupled. Supports DeepSeek, Moonshot, DashScope and other mainstream domestic models.
Product Live Preview
Intuitive, efficient, intelligent contract review experience
Checkpoint by Checkpoint, Missing Nothing
UniClause simulates expert thinking, deeply retrieving and analyzing every preset checkpoint in the contract. Progress bar synchronizes review status in real-time, keeping you fully informed on review workload and progress.
- Real-time feedback on review progress (vectorization → retrieval → completion)
- Millisecond-level chunk matching for long contracts, breaking token limits
Precise Risk Identification, One-Click Revision
AI auto-marks high, medium, and low risk clauses. Highlights original text dispute areas, simultaneously providing professional legal suggestions. Supports "one-click replacement," greatly shortening the time from problem discovery to draft issuance.
- Side-by-side original and revision suggestions, smooth interaction
- RAG-supported conclusions, every suggestion backed by legal basis
Core Selling Points
Why choose UniClause? Our differentiated advantages
Explainable AI Review
Traditional solutions output results directly without verifiable basis. UniClause ensures every conclusion traces back to specific paragraphs.
Handles Large Contracts
Paragraph-level chunking + vector retrieval breaks token limits. 100-page contracts with precise matching, cost reduced 60%+
Per-Checkpoint Independent Computation
Adjusting one checkpoint doesn't require re-reviewing the entire document. Instant response to changes, supporting real-time iterative review strategy.
Automatic Missing Clause Detection
From 'human finds clauses' to 'AI proactively discovers'. Semantic similarity threshold determines what's missing, flagging and generating suggestions.
Extreme Cost Control
IndexedDB local storage, no backend vector database dependency. Using domestic models, API costs significantly reduced.
Data Never Leaves
Sensitive data stays local, desensitized before feeding AI. Enterprise version runs fully offline, strictly controlling data breach risk.
Applicable Scenarios
Deep in legal and compliance scenarios, solving industry pain points
Law Firm Batch Review
Pain Points
Large contract volume, tight deadlines, junior lawyers lacking experience leads to inconsistent standards.
Solution
RAG quickly locates key clauses, auto-generates standardized review opinions, improving output consistency.
Corporate Legal Compliance
Pain Points
Multiple contract versions, manual comparison hard to ensure every version covers all checkpoints.
Solution
Auto-comparison via preset checklist, proactive discovery of missing clauses, ensuring compliance loop.
Investment/M&A Due Diligence
Pain Points
Long transaction documents, core clauses like betting rights and preferences scattered throughout, easily missed.
Solution
Vector retrieval scans hundred-page documents in seconds, precisely extracting core clauses, reducing due diligence risk.
Financial Institution Risk Control
Pain Points
Extremely high regulatory requirements, review process needs audit trail, black-box AI can't meet compliance needs.
Solution
Explainable architecture provides traceability basis and scores for every conclusion, meeting stringent audit requirements.
Pricing Plans
Flexible options, transparent, controllable, high value
Cloud Version
For lawyers, legal consultants, small teams
Free trial + elastic billing, zero burden per checkpoint recomputation
- Core RAG review engine
- Paragraph-level traceability
- Basic checkpoint library (200+)
- No local deployment needed, ready out of box
- Community support and online docs
On-Premise Version
For mid-size law firms, corporate legal departments
Fully isolated data, offline environment supported
- Fully offline on-premise deployment
- Source code controllable, compliance audit passed
- Sensitive data locally desensitized
- Dedicated customer success manager
- One-year运维与检查
Custom Version
For large groups, financial institutions
One-time payment, lifetime use
- OA/CLM/ERP system integration
- Industry LLM deep fine-tuning
- 7×24 response plan
- Dedicated technical team on-site
- Custom corporate review checklist
Why is our pricing uniquely advantageous?
Transparent Billing
No hidden fees, one-time purchase available
Extremely High Value
Only 1/10 the price of international competitors
Domestic Compliance
Supports domestic foundations, avoiding API blocking risks
Core Differentiation Comparison
In-depth comparison between UniClause and traditional AI review tools
| Dimension | Traditional AI Review | UniClause (RAG Powered) |
|---|---|---|
| Architecture | Entire document direct (single LLM call) | RAG architecture (paragraph retrieval + generation) |
| Explainability | Black-box output, unverifiable | Traceable (retrieved paragraph + similarity score) |
| Length Limit | Long contracts forced to truncate | Unlimited (vector retrieval breaks token limit) |
| Update Mode | Change one, re-review entire document | Single-point update (independent checkpoint analysis) |
| Missing Detection | Manual experience searching | AI proactively discovers (semantic threshold) |
| Data Security | Must upload to server | Sensitive data locally desensitized, pure local supported |
| Billing Mode | High fixed annual fee | Flexible: pay-per-use / annual / one-time purchase |
Technical Engine
RAG Concurrent Architecture
Per-Checkpoint independent retrieval, review speed improved 5-10x
Technical Engine
Hybrid Storage Mode
IndexedDB local vector cache, zero backend dependency, response with no latency
Technical Engine
Domestic Foundation Adaptation
Deep adaptation of DashScope, DeepSeek and other models, compliant and cost-controlled