Gunjo · Business Intelligence for the AI Era
← Sticker Wall AGENT · DETAIL

Brazilian lawyer Lucas Marçal's contract review agent, generating approximately 30,000 BRL monthly from SMEs based on document volume

Workflow: Clients upload contract PDFs or Word documents to Facile Docs. The agent first extracts key clauses and flags risk point

AGENT

Key Fields

FIELD STAMPS
IndustrySaaS / Enterprise Software
RegionGlobal(巴西)
ScaleSME
ChannelOnline

🔧 Workflow

Clients upload contract PDFs or Word documents to Facile Docs. The agent first extracts key clauses and flags risk points. Lucas spends a fixed amount of time each day reviewing the AI's annotations and adding his professional legal opinion before sending a report with modification suggestions back to the client. Billing is based on document volume, and for repeat clients, the agent leverages accumulated preferences and historical review records.

🛠 Setup Requirements

Requires a legal background to act as the final arbiter of AI output; no need to develop a proprietary large model. Uses existing APIs like GPT or Claude for clause extraction and initial risk screening, combined with simple document processing and email automation. The front end can be a form, WhatsApp, or Telegram for file reception. Tool subscription and API costs are low; the primary investment is spending two to four weeks embedding common Brazilian contract types, risk clauses, and personal review styles into prompts and templates.

🧰 Toolchain

  • 🔧 OpenAI GPT or Anthropic Claude API
  • 🔧 No-code document processing workflows like Make or n8n
  • 🔧 WhatsApp or Telegram for file reception
  • 🔧 PDF parsing tools like pdfplumber

💰 Revenue

1) Per-document billing: Charging SMEs for each contract reviewed, generating about 30,000 BRL (approx. $6,000) monthly; individual per-document pricing is undisclosed. 2) Monthly subscriptions: Recurring fees for long-term review services for repeat clients; specific tiers and client counts are not disclosed. 3) Checklist tools: Fees for category-specific contract risk checklist tools; no figures provided for pricing or usage. 4) Category expansion: Scaling to more contract types and cities (an opportunity, with potential revenue figures not yet provided).

💸 Cost

Tool subscriptions and API costs are approximately 200 to 400 BRL per month, primarily for LLM calls and lightweight automation tools; no office rent or employee salaries.

⏱ Time Investment

Approximately 1.5 to 2 hours per day spent reviewing AI annotations and communicating with clients; all other steps are handled automatically by the agent.

🚀 Getting Started

Start with 1-2 common contract types familiar to Brazilian SMEs, such as commercial leases or equipment procurement, and organize historical risk points into prompts and checklists. Use WhatsApp or simple forms to onboard the first 10 low-cost clients to refine the workflow and secure stable repeat business, then gradually increase per-document pricing and add more contract types.

🔑 Keys to Success

  • ✅ Legal professional endorsement builds client trust in AI output, rather than selling it as a pure tool
  • ✅ Humans acting only as the final arbiter, with review and added professional opinion creating an efficiency moat
  • ✅ Per-document billing suits SME budgets, and the process becomes more time-efficient as data accumulates
  • ✅ Standardizing personal review styles and local contract templates creates a reusable, iterative AI asset

⚠️ 风险

  • ⚠️ If Brazilian lawyers fail to review AI output before issuing reports, it could lead to professional liability or client complaints
  • ⚠️ High demand for localization in contract review; error rates may rise if templates do not sufficiently cover cross-state or industry-specific requirements
  • ⚠️ Clients might view AI bulk processing as a low-cost substitute; any missed judgment could rapidly damage the lawyer's reputation

📌 Real Cases

  • 📌 Lucas Marçal initially handled contract reviews under his personal brand, then converted common clause checks into the Facile Docs agent, charging local SMEs approximately 150 to 300 BRL per contract, achieving a stable monthly income of about 30,000 BRL
  • 📌 The Brazilian legal AI company Enter reached a valuation of over $1.2 billion in 2026, indicating that local SMEs are willing to pay for contract review automation; Lucas Marçal's personal agent is a lightweight monetization sample of this trend
  • 📌 After InDocs launched its contract processing AI solution in Brazil, partner clients reported an 87.5% increase in contract workflow productivity, validating the feasibility of charging SMEs based on document volume