| What it does | AI-powered legal document analysis that transforms contracts and agreements into clear, actionable summaries
| AI-driven patent intelligence for prior-art research, novelty analysis, claim strategy, and patent drafting
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| Stage | Startup
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| Founded | 2025
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| Based in | Not given
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| Pricing model | Not given
| Freemium
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| Pricing | Free: 5 documents per month, no credit card required. Starter: $49/month for 20 documents per month. Business: $199/month for 250 documents per month. Enterprise: Custom pricing for unlimited documents.
| Free: 100 pages/month, 1 custom workflow, 50+ pre-built templates, 1 user. Basic: $299/month for 1,000 pages/month, 5 custom model training runs, 5 custom workflows, 1 user. Growth: $599/month for 5,000 pages/month, 5 custom model training runs, 5 custom workflows, 10 users. Yearly pricing: Basic $2
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| Key features | - Plain-language document summaries
- Risk identification and severity scoring
- Balance of power analysis
- Key obligations extraction
- Party identification
- Interactive document Q&A
- Support for PDF, Word, and plain text files
- Real-time analysis status updates
| - AI-driven prior-art search across global patent databases and scientific literature
- Patentability and novelty analysis with feature-by-feature evidence mapping
- Claim strategy development exploring distinguishing features and claim scope
- Invention disclosure intake and technical context framing
- Iterative search across terminology variants and technical concepts
- Source verification and confidence flagging of findings
- SOC 2 Type II certified with encryption and granular access controls
- Custom agent creation for specialized technical fields and drafting styles
- On-premise and private cloud deployment options
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| What makes it different | - Plain-English explanations at 8th-grade reading level
- Quantified balance of power score showing which party contract favors
- Documents never used to train AI models
- Fraction of attorney review cost
| - Professional judgment retained: investigation and evidence mapping precede drafting, not replacing practitioner expertise
- Evidence-grounded research: iterates across multiple source types rather than relying on single query formulation
- Built for confidential IP work with no model training on invention data
- Specialist AI agents coordinated by a supervisor across search, disclosure analysis, evidence mapping, claim strategy and drafting
- Searches patent and non-patent sources together including scientific literature, standards and public technical sources
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 36 ● no change since last check | 17 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 11 |
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| Citation Flow (Majestic) | 19 | 18 |
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| Referring domains (Majestic) | 70 | 161 |
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ClearTerms