FinePrint AI Legal Risk & Contract Audit MCP Server

📜 FinePrint AI

In-Memory Contract, Lease & NDA Scanner & Redline Generator

FinePrint AI is an in-memory, privacy-preserving legal contract auditor and redline synthesizer. Equipped with 60+ heuristic legal risk signatures, an in-memory PDF AST parser, and Gemini 1.5 Flash, FinePrint scans Master Services Agreements (MSAs), NDAs, commercial leases, and vendor terms to grade contract risk from A (Acceptable) to F (Unacceptable) and generate attorney-grade redline amendments in seconds with zero cloud server overhead ($0 VPS).

Download Release • CLI Quickstart • Python SDK • Architecture • Risk Categories • Enterprise Features • Examples

⚡ The Problem: The Fine Print Trap

Reviewing commercial contracts is slow, error-prone, and expensive ($500–$1,200/hr for outside counsel):

• Uncapped Indemnification: Hidden clauses forcing vendors or customers to bear unlimited financial liability for third-party IP claims.
• Asymmetric Liability Caps: One-sided limitations where the vendor's liability is capped at $100 while the customer remains fully exposed.
• Auto-Renewal Traps: Multi-year automatic renewals requiring 90- to 120-day advance cancellation notice.
• Unfavorable Offshore Jurisdictions: Mandatory arbitration clauses buried in remote or offshore court systems.
• Privacy & Client Confidentiality: Uploading non-public corporate contracts or NDAs to generic cloud AI services violates confidentiality terms.

FinePrint AI performs all text extraction and AST clause chunking locally in-memory, ensuring your private legal agreements are never leaked or stored.

🏛️ Architecture

FinePrint operates on an air-gapped, zero-knowledge in-memory architecture:

flowchart TD
    subgraph Inputs["Document Input Layer"]
        PDF["PDF Agreement (In-Memory Buffer)"]
        DOCX["Word Document (.docx)"]
        Markdown["Markdown / Plaintext Contract"]
    end

    subgraph CoreEngine["In-Memory Legal Review Engine (< 1.2s)"]
        ASTParser["In-Memory PDF AST & Layout Parser\n(Preserves Clause Hierarchy & Section Numbers)"]
        ClauseChunker["Semantic Legal Clause Segmenter"]
        RuleEngine["60+ Heuristic Risk Signatures Engine\n(Indemnities, Liability Caps, IP, Jurisdictions)"]
        AIScorer["Gemini 1.5 Flash Legal Reasoning & Redline Generator"]
        GradeCalc["Deterministic Risk Grade Calculator (A through F)"]
    end

    subgraph Exporters["Attorney Redline Output Layer"]
        ScoreReport["Executive Summary & Category Scorecard (A-F)"]
        MarkdownDiff["Markdown Side-by-Side Diff Redline"]
        DOCXTrack["DOCX Track Changes Redline"]
        WebhookAlert["Approval / Signing Gate Lock Event"]
    end

    subgraph ZeroCostEdge["Serverless Edge (api.fineprint.io)"]
        CFWorkers["Cloudflare Workers (DocuSign / GitHub PR Webhook Interceptor)"]
    end

    Inputs --> ASTParser
    ASTParser --> ClauseChunker
    ClauseChunker --> RuleEngine & AIScorer
    RuleEngine & AIScorer --> GradeCalc
    GradeCalc --> ScoreReport & MarkdownDiff & DOCXTrack
    CFWorkers -.->|Automated Webhook Contract Auditing| WebhookAlert

🎯 60+ Legal Risk Categories

🚀 Quickstart

1. CLI Quickstart

Download the pre-compiled binary from Latest Releases or install via npm:

npm install -g @ritualdev/fineprint

Run an automated audit on any contract or lease:

fineprint review ./examples/sample_vendor_agreement.md --output redline.md

Export an executive scorecard:

fineprint score ./examples/sample_vendor_agreement.md --json

2. Python SDK Quickstart (pip install fineprint)

Ideal for legal tech engineering, DocuSign webhooks, and contract data pipelines:

from fineprint import ContractScanner

scanner = ContractScanner()
report = scanner.analyze_text("""
Vendor shall indemnify Client against all claims without cap or limitation.
Vendor's total aggregate liability shall not exceed $100.
""")

print(f"Risk Grade: {report['grade']}")  # e.g. Grade F (Unacceptable)
for issue in report['violations']:
    print(f"⚠️ {issue['category']}: {issue['explanation']}")
    print(f"   Proposed Amendment: {issue['recommended_clause']}")

See examples/audit_contract.py for a complete runnable Python walkthrough.

3. Node.js / TypeScript SDK

npm install @ritualdev/fineprint

import { ContractAnalyzer } from '@ritualdev/fineprint';

const analyzer = new ContractAnalyzer();
const audit = await analyzer.auditFile('./vendor-agreement.pdf');

console.log(`Risk Score: ${audit.overallScore}/100 (Grade: ${audit.grade})`);
console.log(`Flagged ${audit.redlines.length} high-risk provisions.`);

🏢 Enterprise Features ($50K–$250K ACV Capabilities)

• 📜 Corporate Legal Playbook Customizer: Upload company-specific fallback terms and non-negotiables (e.g. Acme Corp mandates New York governing law, $5M cyber insurance, and strikes all customer indemnities). FinePrint scores incoming vendor contracts against your unique corporate playbook.
• 🗄️ Bulk Contract Repository Auditing (Legacy Contract Scanner): Batch scan thousands of legacy NDAs, MSAs, and commercial leases stored across Google Drive, Dropbox, or AWS S3 to uncover latent liabilities, expiring renewal dates, and uncapped indemnifications in bulk.
• ✍️ e-Signature Interceptor & Approval Workflows (DocuSign / PandaDoc Webhooks): Intercepts contracts before execution: if a contract receives an 'F' (Unacceptable) rating, the workflow automatically locks signature execution and routes the redline proposal to senior legal counsel for sign-off.

📊 Performance Benchmarks

• Analysis Latency: $< 1.2\text{ seconds}$ on 40-page commercial PDF agreements.
• Privacy: 100% in-memory processing; zero persistent document storage.
• Infrastructure Cost: $0.00 / month ($0 VPS, $0 server maintenance).
• Test Verification: 50 / 50 passing tests across Node.js, AST parsers, and Python 3.8+.

🤝 Community & Support

• Feature Requests & Bug Reports: Open an issue in our Public Issue Tracker.
• Enterprise Licensing: Contact enterprise@ritualdev.in for corporate playbook customization, DocuSign interceptors, and bulk legacy audits.
• Core Development: Developed and maintained by RitualDev Studio.

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