The legal market is evolving faster than many expected. Just a few years ago, the phrase “AI for contracts” sounded futuristic. Today, it is a practical tool that saves hours of routine work and reduces legal risks. The real question is no longer whether to use AI in contract workflows, but how to implement it correctly.
In this article, we will explore how to build services on the low-code platform Botman.one that allow businesses to:
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review contracts using AI
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perform deep AI-powered contract analysis
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draft contracts with AI
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generate contracts tailored to specific business processes
Most importantly, we will explain why everything depends on the prompt — and why that prompt must be written by a lawyer.
Why Businesses Need AI for Contract Work
Modern companies deal with dozens of contract types: supply agreements, services contracts, construction contracts, agency models, and hybrid legal structures. Manual review of every document leads to:
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time-consuming processes
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human error risks
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lack of standardization
AI-powered contract review and drafting solves these issues by enabling:
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fast pre-signature review
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structured legal risk analysis
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automated drafting of standard agreements
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integration into internal approval workflows
However, there is no universal “magic AI.” There are only well-designed systems built on legally precise logic.
Why Botman.one Is Suitable for Legal AI Services
Botman.one is a low-code platform that allows you to build automated services without complex development. You can:
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create a contract upload interface
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configure logic scenarios
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integrate AI models
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route workflows by contract type
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connect CRM systems and internal databases
In practice, this means you can launch:
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an online AI contract review service for clients
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an internal AI tool for legal departments
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a contract generation module for managers
But the key element remains the prompt.
The Most Important Thing: The Prompt Must Be Written by a Lawyer
Many assume that asking AI to “analyze this contract and find risks” is sufficient. In reality, such generic instructions produce superficial results.
If you want AI to perform a meaningful legal analysis, the prompt must include:
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The type of contract
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Applicable law
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Relevant statutory provisions
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Judicial practice and precedents
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The specific business process of the parties
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Risk allocation logic
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Acceptable deviations from standard models
Without this structure, AI-based contract review becomes a formal text scan rather than a true legal examination.
Each Contract Type Requires a Separate Prompt
One of the most common mistakes is using the same prompt template for all contracts.
For example:
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Supply agreements require analysis of risk transfer, quality, and delivery terms
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Construction contracts focus on acceptance procedures and warranties
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Agency agreements emphasize authority and liability
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Hybrid agreements (for instance, combining sale and consignment structures) require tailored legal logic
If you want to build a true AI contract generator, you must create separate prompts for each contract type.
Moreover, even identical contract categories differ across industries such as IT, construction, logistics, or distribution. Legal logic must reflect these nuances.
How to Build an AI Contract Review Service on Botman.one
A typical architecture includes:
1. Document Upload
The user uploads a file and selects the contract type.
2. Scenario Selection
The platform triggers a specific prompt based on the selected type.
3. AI Analysis
The system performs:
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structural breakdown
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risk detection
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mandatory clause verification
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inconsistency identification
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recommendations for amendments
You may offer a basic free version for express review and an extended professional analysis for corporate users.
How to Build an AI Contract Drafting Service
The drafting scenario is structured differently.
1. Questionnaire
The user provides key parameters:
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parties
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subject matter
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term
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liability model
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special conditions
2. Legal Model Selection
The system determines the appropriate legal structure.
3. Document Generation
AI produces the contract text according to the predefined legal prompt.
Again, the quality of the output depends entirely on the lawyer-designed prompt behind the system.
Free Versions and Associated Risks
Many businesses search for free AI contract review tools. While offering a simplified free version may be suitable for marketing, it rarely accounts for:
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judicial practice
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industry specifics
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complex legal risk allocation
For internal corporate systems, more advanced AI agents for legal departments can be implemented within Botman.one.
Why Business Processes Matter
The same clause can be risky in one business model and completely acceptable in another.
For example:
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100% prepayment may be a buyer’s risk but an industry standard elsewhere
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Deferred payment terms may be normal in distribution
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Extended liability clauses may be acceptable in strong B2B negotiations
Therefore, effective AI contract review must consider:
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the party’s role
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deal structure
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negotiation leverage
This logic must be embedded in the prompt — not left to generic AI interpretation.
Final Thoughts: AI Is a Tool, Not a Replacement for Lawyers
AI for contracts is a powerful instrument. It:
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accelerates workflows
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reduces routine workload
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standardizes contract processes
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enables fast preliminary review
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assists managers in preparing drafts
However, the quality of results depends not on the AI model itself but on system architecture and legal expertise embedded in the prompt.
When building AI contract services on Botman.one, remember:
AI can process text.
Only a lawyer can design legal logic.
The future of legal automation lies not in universal generators, but in well-architected systems built on professional legal expertise.