DaySchedule Http BigMailer Neon Postgres Bot for Slack

Contract extraction, risk analysis and compliance automation with AI

Streamline your legal operations by automatically pulling contracts from email and cloud storage for deep AI-driven analysis. The system identifies potential risks and compliance gaps using advanced LLMs, scoring severity to ensure critical issues reach the right stakeholders immediately. It concludes by updating your management systems and generating audit-ready reports, significantly reducing manual review time.

Run this with your team's AI

What This Recipe Does

Streamline your legal and procurement operations with this sophisticated automated contract analysis system. This automation eliminates the manual burden of reviewing lengthy legal documents by using advanced AI to extract critical data points, conduct comprehensive risk assessments, and perform compliance audits in seconds. By integrating directly with your email and internal systems, it captures new contracts the moment they arrive, analyzes them against your specific business standards, and flags potential liabilities before they become problems. The system centralizes all contract metadata in a secure database while providing your team with instant notifications via Slack for high-priority findings. This ensures that your legal and operations teams can focus on high-level strategy rather than administrative document review. The result is a significantly faster contract lifecycle, reduced exposure to legal risks, and a structured, searchable repository of all your contractual obligations and compliance statuses. Whether you are managing vendor agreements, employment contracts, or service-level agreements, this automation provides the institutional oversight necessary to maintain rigorous compliance standards at scale.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

DaySchedule, Http, BigMailer, Neon Postgres, Bot for Slack connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect DaySchedule and Http once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

How does the system receive new contracts for analysis?

The automation can be triggered automatically by incoming emails in Gmail, through secure webhooks from your existing software, or on a set schedule to process batches of documents.

Can I define what constitutes a 'high-risk' clause?

Yes. The AI analysis logic can be tailored to your specific business requirements, allowing you to define the exact parameters for risk scores and compliance flags.

What types of documents can the automation process?

The system is designed to handle standard document formats including PDFs and Word files, extracting text and structure accurately for AI analysis.

Where is the extracted contract data stored?

All extracted terms, risk analysis reports, and compliance scores are automatically saved into a structured Postgres database for long-term tracking and reporting.

Coming from n8n?

This recipe uses nodes like ScheduleTrigger, Set, Webhook, GmailTrigger and 15 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

ScheduleTrigger Set Webhook GmailTrigger HttpRequest Merge ExtractFromFile Langchain.textSplitterRecursiveCharacterTextSplitter Langchain.documentDefaultDataLoader Langchain.embeddingsOpenAi Langchain.vectorStoreInMemory Langchain.lmChatOpenAi Langchain.outputParserStructured Langchain.agent Code Postgres Switch Slack StickyNote

Based on n8n community workflow. View original

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Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork