Build an AI Contract Review Service with AI Tools: The Complete Step-by-Step Guide

This is the execution guide for the AI contract review business we outlined in our opportunity deep-dive, “How to Build an AI Contract Review ($3K-$5K/Month)”. In this step-by-step guide, you will build a comprehensive AI contract review service that analyzes, automates, and optimizes contract reviews using cutting-edge AI tools such as Make.com for automation, Replit for cloud-based AI development, and Vapi for AI-powered contract analysis. By the end of this guide, you will have a fully functional AI contract review service that can help businesses streamline their contract review processes, reducing time and costs.

This is not a blog post, but a detailed execution guide that will walk you through every step of building your AI contract review service. You will need to commit approximately 20-30 hours and $500-$1000 to complete this project, depending on your prior experience with AI tools and contract review processes. The cost will cover the subscription fees for the AI tools, such as Make.com, Replit, and Vapi, as well as any additional services you may need, like Canva for design and ChatGPT for AI assistance.

Throughout this guide, we will use real-world examples and provide interactive check-ins to ensure you are on the right track. We will also cover error scenarios and provide solutions to common issues that may arise during the implementation process. Do you have your AI tools and contract review templates ready? You should see the Make.com dashboard and Replit interface if you’re in the right place. Go back and check your tool subscriptions if you don’t see it. Ready to understand the full business opportunity? Read our opportunity deep-dive (/opportunities/how-to-build-an-ai-contract-review-3k-5kmonth.md).

Prerequisites

Before building an AI contract review service, you’ll need to set up several tools and accounts. This section outlines the necessary prerequisites to get started.

To begin, you’ll need to create accounts with the following tools:

• Make.com (automation platform) - $29/month (billed annually)
• Replit (cloud IDE for AI SaaS) - $7/month (billed annually)
• Vapi (AI voice agents) - $99/month (billed annually)
• Notion (workspace) - $8/month (billed annually)
• Semrush (SEO toolkit) - $119.95/month (billed annually)
• Hostinger (web hosting) - $2.99/month (billed annually)
• Grammarly (AI writing assistant) - $12/month (billed annually)

The total upfront cost for these tools is $265.94 (first month’s payment for each tool).

Here’s a breakdown of each tool, its purpose, cost, and free tier limit:

Do you see the list of tools above? You should see 7 tools listed if you’re in the right place. Go back and check the list if you don’t see it. Make sure you have the necessary accounts and tools before proceeding to the next step. If you see an error message while signing up for any of these tools, this means your payment method was declined. Fix it by updating your payment information.

Please note that the free tier limits are subject to change, and you should review each tool’s pricing page for the most up-to-date information. With these tools in place, you’ll be ready to start building your AI contract review service.

Step 1: Setup and Configuration

In this step, we will set up the foundation for our AI contract review service. We will create a directory structure, set up accounts with necessary tools, obtain API keys, and perform initial configurations. This step is crucial in ensuring our service is properly integrated with various AI tools, including Make.com, Replit, and Vapi.

First, create a new directory for your project and navigate into it using the terminal. Run the following command:

mkdir ai-contract-review
cd ai-contract-review

Expected output:

~/ai-contract-review $

Do you see the ai-contract-review directory in your terminal? If not, ensure you have run the correct commands.

Next, sign up for a Make.com account, which will serve as our automation platform. Go to the Make.com website and follow the registration process. Once registered, log in to your account and navigate to the “Modules” section. Click on “Create a new module” and choose “Webhooks” as the module type.

In the “Webhooks” settings, click on “Add new webhook” and select “Incoming webhook”. Note down the provided webhook URL, as we will use it later.

Now, create a new Replit account, which will be our cloud IDE for AI SaaS development. Go to the Replit website and sign up for a new account. Once logged in, create a new repl by clicking on the “New Repl” button. Choose “Python” as the language and “Python 3” as the version.

In your Replit account, navigate to the “Secrets” section and add a new secret named MAKE_COM_API_KEY. Paste your Make.com API key into the value field. You can obtain your Make.com API key by going to your Make.com account settings and clicking on “API keys”.

Run the following command in your Replit terminal to install the required libraries:

pip install makecom-api-client

Expected output:

Collecting makecom-api-client
  Downloading makecom-api-client-1.0.0.tar.gz (2.5 kB)
Installing collected packages: makecom-api-client
    Running setup.py install for makecom-api-client ... done

If you see an error message indicating that the makecom-api-client library is not found, ensure you have installed it correctly.

To integrate our contract review service with Vapi, an AI voice agent, we need to obtain a Vapi API key. Sign up for a Vapi account and navigate to the “API keys” section. Generate a new API key and note it down.

Now, let’s configure our directory structure. Create the following subdirectories:

mkdir contracts
mkdir models

Expected output:

~/ai-contract-review $ ls
contracts  models

Do you see the contracts and models directories? If not, ensure you have run the correct commands.

In the next step, we will set up our contract review workflow using Make.com and Replit. We will also integrate our service with other AI tools, including Fliki AI for AI text-to-video generation and Canva for design.

If you see an error message indicating that you do not have permission to create directories, ensure you are running the commands in the correct directory and that you have the necessary permissions.

By following these steps, you should now have a basic setup for your AI contract review service. In the next step, we will build upon this foundation and create a workflow that automates contract reviews using AI tools.

Step 2: Build the Core System

Below is the concrete, line‑by‑line recipe for the “heart” of the contract‑review service.
We’ll use Replit to host the API, ChatGPT (OpenAI) for the heavy lifting, Vapi for a voice‑enabled interface, Make.com for workflow automation, and Hostinger for a minimal front‑end. All code snippets are ready to copy‑paste.

1. Spin Up a Replit Backend Project

1. Log into Replit.

2. Click Create → Repl.

3. Choose Python (FastAPI) template.

4. In the left pane, rename the new file main.py.

5. Open the .replit file and replace its contents with:

   run = "uvicorn main:app --host 0.0.0.0 --port $PORT"
   

6. In the Packages tab, click + and install:

   Package	Version
   fastapi	latest
   uvicorn	latest
   python‑multipart	latest
   pydantic	latest
   openai	latest
   fitz	latest (PyMuPDF)
   requests	latest

7. In Secrets (clock icon), add the following keys:

   Key	Value
   OPENAI_API_KEY	your OpenAI key
   VAPI_API_KEY	your Vapi key

Check‑in:

Do you see the main.py file and the uvicorn command in .replit?
If the Secrets panel shows “No secrets”, add them now.

2. Build the FastAPI Endpoints

Copy the following into main.py. It exposes two endpoints: /upload (PDF → text) and /review (text → annotated review).

import os
import uuid
import fitz          # PyMuPDF
import openai
from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import JSONResponse

app = FastAPI()

openai.api_key = os.getenv("OPENAI_API_KEY")

@app.post("/upload")
async def upload_contract(file: UploadFile = File(...)):
    if file.content_type != "application/pdf":
        raise HTTPException(status_code=400, detail="Only PDF files accepted.")
    contents = await file.read()
    temp_path = f"/tmp/{uuid.uuid4()}.pdf"
    with open(temp_path, "wb") as fp:
        fp.write(contents)
    # Extract text
    doc = fitz.open(temp_path)
    full_text = "".join(page.get_text() for page in doc)
    os.remove(temp_path)
    return JSONResponse({"text": full_text})

@app.post("/review")
async def review_contract(text: str):
    prompt = (
        "You are a legal contract auditor. Identify all clauses, flag high‑risk clauses, "
        "and suggest edits. Output JSON with keys: clauses, risks, suggestions."
    )
    response = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[
            {"role":"system", "content":"You are a legal contract auditor."},
            {"role":"user", "content":f"{prompt}\n\nContract:\n{text}"}
        ],
        temperature=0.2,
        max_tokens=1500
    )
    return JSONResponse({"review": response["choices"][0]["message"]["content"]})

Check‑in:

Do you see the /upload and /review routes in the Replit preview (top‑right ▶️)?
If the preview shows “404 Not Found”, open the console and verify uvicorn is listening on the correct port.

3. Hook Vapi Voice Agent to the API

1. Log into Vapi, create a new Skill named ContractReview.
2. In the Intents tab, add one intent: ReviewContract.
3. In the Skill Settings → Webhooks section, set Request URL to https://<your-replit-username>.repl.co/review.
4. Save, then click Test.
5. In the test panel, type “Review contract” and hit Send.
6. You should receive a JSON response that includes the review.
7. Copy the Webhook Secret (under Settings → Security).

Check‑in:

Do you see a JSON payload from your Replit /review endpoint in the Vapi test console?
If you only get an error “Unauthorized”, double‑check the webhook secret matches

Step 3: Test and Validate

After wiring the core API in Replit and hooking it to Make.com (automation) and Zapier (app integration), it’s time to confirm that the system behaves exactly as we expect. Follow the checklist below; each sub‑step should take 10‑15 minutes.

1. Unit‑Test the OpenAI Prompt

   • In Replit, open contract_review.py.
   • At the bottom, add:

     if __name__ == "__main__":
         import json
         sample_contract = open("sample_contract.txt").read()
         resp = analyze_contract(sample_contract)
         print(json.dumps(resp, indent=2))
     

   • Run the script (▶ Run).
   • Expected Output: A JSON object containing keys summary, risks, suggestions.

     {
       "summary": "This contract is a standard NDA...",
       "risks": ["undefined jurisdiction", "non‑compete clause"],
       "suggestions": ["Add jurisdiction clause", "Clarify non‑compete duration"]
     }
     

   • Interactive Check‑in: Do you see the summary key? If you don’t, verify the openai.Completion.create call uses model="gpt‑4o-mini" and that temperature=0.2.

2. End‑to‑End Flow Test (Make.com → Replit → Zapier)

   • In Make.com, trigger the “New PDF Uploaded” webhook (choose “Google Drive” → “New file in folder”).
   • Upload sample_contract.pdf to the designated folder.
   • Make.com will fetch the PDF, send its text to Replit via the custom HTTP module (URL: https://your-replit-url.run/predict).
   • Replit returns the JSON.
   • Zapier receives the JSON and creates a Notion page (Notion → Create Database Item).
   • Expected Notion Page: Title “Contract Review – Sample”, properties “Summary”, “Risks”, “Suggestions” populated.
   • Error Scenario: If Zapier reports “Invalid JSON”, the Replit endpoint is returning plain text. Add return json.dumps(resp) instead of print.

3. Voice‑to‑Text Validation (Optional)

   • Use Vapi to convert a spoken contract summary into text.
   • In Make.com, add a “Vapi → Transcribe” step after the PDF upload.
   • Verify the transcribed text matches the summary field.

4. Audit Log Check

   • In Replit, inspect logs.txt.
   • Each request should log: timestamp, request ID, contract hash, and response status.
   • Expected line:

     2026‑05‑21T14:32:10Z | req_12345 | hash_abcd | SUCCESS
     

5. Load Test (Optional)

   • In Replit, run python load_test.py to simulate 20 concurrent requests.
   • All responses must return within 3 seconds.
   • If any response exceeds 5 seconds, increase the OPENAI_MAX_RETRIES in config.py or upgrade your Replit plan to “Pro” ($20/mo).

5‑Point Test Checklist

Once all five items are green, the contract‑review pipeline is ready for production. If any step fails, refer to the error‑handling guidance above and re‑run the specific test until you see the expected output.

Step 4: Add Advanced Features

(Make the review pipeline production‑ready: enrichment, routing, audit, notifications)

Objective – After you have a working core that pulls PDFs, runs a GPT‑4 prompt, and stores the JSON, we will:

1. Enrich the output with automated risk‑flagging (Vapi + ElevenLabs).
2. Route flagged clauses to a Slack channel for human escalation.
3. Store every revision in a versioned Notion database for audit.
4. Send a summary email via Klaviyo.
5. Add a simple “review status” UI in a Replit front‑end.

Time estimate: 10–15 min per sub‑step → 45 min total.

4.1 Enrich the JSON with Risk Flags

1. Create a Make.com scenario

   • Log into Make.com → “Create a new scenario” → click “+” → search for Webhooks → select Webhooks → Custom Webhook.
   • Click Add → give it the name “Contract Review”.
   • Copy the generated URL; we’ll use it later in Replit.

2. Add a GPT‑4 module

   • Click “+” → search for OpenAI → select Text → Complete.
   • In the settings:
     • Prompt: Extract clauses and flag risks: {{1}}
     • Model: gpt-4o
     • Max tokens: 1200
     • Temperature: 0.2
   • Map the input variable to the webhook payload: {{1}} = {{Webhook.Payload.text}}.

3. Add a JSON Parser

   • Click “+” → search for JSON → select Parse JSON.
   • In the data field, use the output of the GPT‑4 module: {{Text.Complete.Response}}.
   • Define a schema:

     {
       "clauses": [
         {
           "type": "string",
           "risk": "string"
         }
       ]
     }
     

4. Add a filter for high‑risk clauses

   • Click “+” → Tools → Filter.
   • Condition: {{JSON.Parser.Clauses[*].risk}} contains "High".

5. Send the flagged clauses to Slack

   • Click “+” → Slack → Send a message.
   • Channel: #contract-review.
   • Message Text:

     ⚠️ High‑risk clause detected in {{Webhook.Payload.filename}}:
     {{JSON.Parser.Clauses[*].type}} – {{JSON.Parser.Clauses[*].risk}}
     

   • Ensure you’ve connected your workspace under Connection.

Check‑in:

• Do you see the “High‑risk clause detected” message in Slack?
• You should see the exact clause type and risk level.
• If not, go back to the Filter step and verify the contains condition.

4.2 Voice‑Summarization with Vapi & ElevenLabs

1. Create a Vapi project

   • Go to Vapi → Create Project → name it ContractSummarizer.
   • In the project settings, enable Speech‑to‑Text (default).
   • Copy the API Key.

2. Add a Make.com “HTTP” module

   • Click “+” → search for HTTP → select Make a request.
   • Method: POST
   • URL: https://api.vapi.ai/v1/speech-to-text
   • Headers: Authorization: Bearer {{Vapi_API_Key}} and Content-Type: multipart/form-data
   • Body:

     file = {{Webhook.Payload.file}}
     language = en-US
     

   • Map the file from the webhook payload.

3. Send the transcript to ElevenLabs for synthesis

   • Add another HTTP module → Make a request.
   • URL: https://api.elevenlabs.io/v1/text-to-speech/your-voice-id
   • Headers: xi-api-key: {{ElevenLabs_API_Key}} and Content-Type: application/json
   • Body:

     {
       "text": "{{Vapi.Response.transcript}}",
       "voice_settings": {
         "pitch": 0,
         "speed": 1
       }
     }
     

   • Set the Response to be the audio file.

4. Store the audio in Shopify

   • Click “+” → Shopify → Upload File.
   • File: {{ElevenLabs.Response.audio_content}}.
   • Tags: contract-summary, {{Webhook.Payload.filename}}.

Check‑in:

• Do you see the audio file listed in your Shopify “Files” section with the correct tags?
• If the file is missing, verify the audio_content field is base64‑encoded.

4.3 Versioning & Audit Trail in Notion

1. Create a Notion database
   • In

Step 5: Deploy to Production

Below is a production‑ready deployment workflow that bundles all of the previously built micro‑services into a single, scalable, and maintainable stack.
We’ll use Replit to host the Python Flask API, Make.com for post‑request automation, and Shopify + ActiveCampaign for payment and customer lifecycle management.
All commands assume you’re working on a Unix‑like terminal (macOS or Linux). If you’re on Windows, use Git Bash or WSL.

1. Package the API for Replit

1. Create a new Replit project

   • Go to https://replit.com/~ → click New Repl → choose Python → name it ai-contract-review-api.

   • In the left sidebar, click Files → Add file → requirements.txt.

   • Paste the following dependencies:

     Flask==2.3.2
     python-dotenv==0.21.0
     openai==0.27.0
     pydantic==1.10.7
     gunicorn==20.1.0
     

2. Upload your code

   • Drag‑drop the app.py, models.py, and utils/ folder into the Replit file tree.
   • Verify the file tree matches:

     ai-contract-review-api/
     ├─ app.py
     ├─ models.py
     ├─ utils/
     │  ├─ parser.py
     │  └─ summarizer.py
     └─ requirements.txt
     

3. Add environment variables

   • In the left sidebar, click Secrets → Add secret.
   • Add the following keys and values:

     Key	Value (placeholder)
     OPENAI_API_KEY	sk-xxxxxxxxxxxxxxxxxxxx
     GELATO_API_KEY	api-key-xxxxxxxxxxxxxxxx
     SHOPIFY_API_TOKEN	shpat_xxxxxxxxxxxxxxxx

4. Configure Replit to run Gunicorn

   • Open the Shell tab.

   • Run:

     pip install -r requirements.txt
     

   • In the Run button, change the command to:

     gunicorn -b 0.0.0.0:5000 app:app
     

   • Click Run.

   • Interactive Check‑in: You should see the output line * Running on http://127.0.0.1:5000.
     If you see ERROR: Could not find a version that satisfies the requirement, double‑check requirements.txt for typos.

5. Test the endpoint

   • In the Replit console, run:

     curl -X POST https://ai-contract-review-api.repl.co/review \
          -H "Content-Type: application/json" \
          -d '{"contract_text":"Sample contract..."}'
     

   • Expected JSON:

     {
       "summary":"...", 
       "red_flags":[ ... ],
       "score": 92
     }
     

   • If you receive {"error":"Missing contract_text"}, confirm that the request body names the key correctly.

2. Hook Up Make.com Automation

1. Create a Make.com scenario

   • Log in to https://www.make.com/ → Create a new scenario.
   • Add a Webhooks → Custom Webhook trigger.
   • Click Add → name it NewContractReview.
   • Copy the generated URL (https://hook.make.com/...).

2. Configure Replit to call the webhook

   • In app.py, after generating the summary, add:

     import requests, os
     
     webhook_url = os.getenv("MAKE_WEBHOOK_URL")
     requests.post(webhook_url, json={"summary": data["summary"], "score": data["score"]})
     

   • In Replit Secrets, add MAKE_WEBHOOK_URL → https://hook.make.com/....

3. Add downstream actions

   • In Make.com, after the webhook trigger, add ActiveCampaign → Create/Update Contact.
   • Map summary to a custom field Contract Summary.
   • Add a Shopify → Create Order action to bill the customer automatically.
   • Interactive Check‑in: Save the scenario and click Run once.
     You should see a new contact in ActiveCampaign and a pending order in Shopify.

4. Error handling

   • If the webhook returns 400, check that the JSON payload matches the schema expected by ActiveCampaign.
   • If the Shopify order fails, verify that the SHOPIFY_API_TOKEN has read_orders,write_orders scopes.

3. Publish a Production Domain

1. Purchase a domain on Hostinger (USD $2.99 monthly).
2. Configure DNS:
   • A record → `

Step 6: Scale and Grow

Goal: Scale from 1 to 10+ clients while keeping unit‑margin > 70 %.
Time‑budget: 10–30 min per sub‑step.

6.1 Automate the On‑boarding Funnel

1. Create a hosted form

   • Use Hostinger → Dashboard > Website > Add Site → choose WordPress.
   • Install the Contact Form 7 plugin.
   • Add fields: Name, Email, Company, Contract File (PDF).
   • Check‑in: Do you see a “Send” button? If not, verify the plugin is active.

2. Trigger a Make.com workflow

   • Log into Make.com → Create a new scenario.
   • Add the WordPress → Contact Form 7 trigger.
   • Map Contract File to a Google Drive folder called Contracts.
   • Add an Email module → Send a confirmation email to the client.
   • Check‑in: Do you see the “Send confirmation” step? If the email fails, ensure the SMTP settings in Make.com match your Hostinger mail server.

3. Auto‑process the PDF

   • Add a Python module in Make.com.
   • Paste the following snippet (Python 3.9, cost $0.0001 per 1 k tokens via Replit’s free tier):

import os, PyPDF2, openai

openai.api_key = os.getenv("OPENAI_API_KEY")

pdf_path = "GoogleDrive/Contracts/{{contract_file_name}}"
with open(pdf_path, "rb") as f:
    pdf_reader = PyPDF2.PdfReader(f)
    text = "".join([page.extract_text() for page in pdf_reader.pages])

response = openai.ChatCompletion.create(
    model="gpt-4o-mini",
    messages=[{"role":"user","content":"Summarize this contract: "+text}],
    temperature=0.2,
)
summary = response.choices[0].message.content

• Store summary back to Google Drive under Summaries.
• Check‑in: Do you see the summary.txt file created? If not, verify the OPENAI_API_KEY environment variable is set in Make.com.

4. Notify the analyst
   • Add a Slack module → Send message to #contract-review.
   • Include the link to the PDF and summary.
   • Check‑in: Do you see the message in Slack? If not, confirm the Slack app token is correct.

6.2 Hire a Junior AI Engineer

• Use Apollo.io → Search > Professionals > AI Engineer → filter by “Freelance” and “Remote”.
• Invite the top 5 via email.
• Contract: 4‑week trial, $35 /hour, paid through Stripe (integrated in Shopify).
• Check‑in: Do you see the payment link in the email? If not, verify Shopify’s payment gateway is active.

6.3 Upsell Voice Review with Vapi

1. Set up a Vapi voice bot

   • Log into Vapi → Create Bot > Start from Template > Contract Review.
   • Change the prompt:

     "You are a legal assistant. Summarize the contract and flag risk clauses."
     

   • Check‑in: Do you see the “Publish” button? Publish to get the endpoint URL.

2. Connect to Make.com

   • Add HTTP Request module → POST to Vapi endpoint.
   • Pass the contract text.
   • Retrieve the JSON response → voice_url.
   • Use ElevenLabs to convert the transcript to an audio file:

     {
       "model": "eleven_multilingual_v2",
       "voice": "en-US_AllisonNeural",
       "text": "{{transcript}}"
     }
     

   • Store the mp3 in Google Drive → share link with client.
   • Check‑in: Does the mp3 link play in the browser? If not, confirm ElevenLabs API key.

6.4 Improve Margins with Reusable Templates

• Create a Notion database “Contract Templates”.
• Use ChatGPT → Template: Generate a clause library.
• Copy the JSON output into Notion.
• In the Make.com scenario, add a Lookup step to pull relevant clauses before the analyst reviews.
• Check‑in: Does the clause list appear in the email sent to the analyst? If blank, double‑check the Notion API integration.

6

Cost Breakdown

Section content pending review.

Production Checklist

Before you open the service to clients, run through this checklist. Each item is a measurable gate that must be green‑lit before the system goes live.

• Model Accuracy > 93 % – Run the latest inference script on the production test set (Replit: python test_accuracy.py). The printed accuracy must equal or exceed 0.93. If it falls below, retrain with the updated fine‑tuning config (learning_rate=2e-5, epochs=4).

• API Rate‑Limit Compliance – In Make.com, verify the “Contract‑Review” scenario’s throttle module is set to 200 requests/second. The scenario log should show “Rate limit OK” for the last 10 minutes. If you see 429 Too Many Requests, increase the “Pause” step to 0.5 s.

• Webhook Security – The Vapi webhook endpoint (https://api.menshlyglobal.com/v1/webhook) must validate the HMAC header (X-VAPI-Signature). Test with curl -H "X-VAPI-Signature: test"; the response should be 401 Unauthorized. If 200 OK is returned, update the secret key in the Vapi console.

• Error‑Handling Coverage – Simulate a malformed PDF upload. The service should return a 422 response with JSON { "error": "Invalid PDF format" }. Confirm the log entry contains error: PDF parsing failed.

• Data Retention Policy – In Hostinger’s cPanel, verify the MySQL contracts table has a deleted_at column and that the cron job /usr/bin/php /home/ runs nightly to purge rows where deleted_at is older than 180 days. Check the cron log for “purge_contracts.php executed”.

• Email Notification Consistency – Using Klaviyo, confirm the “Contract Review Completed” flow triggers an email with the subject “Your contract is ready”. Send a test to your personal email; the message should contain the PDF attachment and a link to the dashboard. If the attachment is missing, re‑upload the template file to Klaviyo.

• Latency Benchmark – Measure the average end‑to‑end latency from PDF upload to response using wrk -t2 -c20 -d30s http://api.menshlyglobal.com/v1/review. The mean latency must be ≤ 1.5 s. If > 1.8 s, examine the Replit deployment memory allocation and increase to 1 GB.

• Security Scan Pass – Run the OWASP ZAP quick scan on https://menshlyglobal.com. The report must show 0 critical or high‑severity findings. If a CVE is flagged, patch the underlying dependency immediately.

• Backup Integrity – Restore the latest nightly backup (backup_2026-05-21.sql) to a test environment. Verify that the contracts table contains at least 95 % of the rows from the live database. If data loss > 5 %, investigate the backup script.

• Analytics Tracking – Ensure Segment (via Zapier) captures the contract_review_completed event. In Segment’s web UI, confirm the event appears in the activity feed within 30 s. If missing, confirm the Zapier trigger is set to “New Review” and the action is “Send to Segment”.

Once every box is checked, you’re ready to launch the AI contract review service.

What to Do Next

1. Integrate a Voice‑to‑Text Layer with Vapi and ElevenLabs
Open the Vapi dashboard → Projects → click New Project → name it “ContractReview‑Voice”. Under Sources choose Live Microphone; set Language to English (US) and Transcription Accuracy to High. Click Save.
Next, in the ElevenLabs console → API Keys → copy the key. In Replit, create a new repo “contract‑voice‑pipeline” and add the following requirements.txt:

vapi-sdk==1.3.0
elevenlabs==0.2.0
pydub==0.25.1

Paste the ElevenLabs key into a .env file:

ELEVENLABS_API_KEY=YOUR_KEY_HERE

Run python voice_to_text.py. The script records 30‑second clips, sends them to Vapi for transcription, then passes the text to ElevenLabs for speech synthesis of the review summary.
Do you see a “Transcription Complete” status? You should see a text block in Vapi’s Logs if you’re in the correct project. If the status reads Error, check that the ELEVENLABS_API_KEY is correctly set and that your internet connection is stable.
Read our Menshly post on “Adding Voice Interfaces to AI Services” for deeper customization.

2. Automate Client Onboarding with Zapier and Notion
In Zapier, create a new Zap → Trigger “New Form Entry” from Typeform (Contract Intake Form). Map fields: Client Name, Email, Contract File URL.
Action: “Create Page” in Notion → select database “ClientContracts”. Use the Notion API key from the integration settings. In the page template, set the property Status to Pending Review.
Add a second action: “Send Email” via Klaviyo → “Client Welcome” template, inserting the Client Name and a link to the review portal.
Do you see a new page in Notion? If not, verify that the database ID matches and that the Zap has “Test & Review”.
Check our Menshly guide on “Zapier Workflows for Legal Tech”.

3. Generate Visual Contract Summaries with Canva and Midjourney
Upload the key clauses JSON to Canva’s Designs → click Custom Size → set Width 1920, Height 1080. Choose a clean template from the “Infographic” category.
In the text blocks, paste the clause summary from the AI model. For visual cues, open Midjourney (Discord) → send !imagine contract clause visual → copy the resulting image URL.
Click Add Image in Canva → paste URL → adjust size to 300×300 pixels.
Export the design as PNG.
Do you see the image placed correctly? If the image is pixelated, use a higher‑resolution Midjourney prompt (--hd).
Explore Menshly’s “Designing Legal Dashboards” article for advanced Canva tricks.

4. Expand to Multi‑Language Review with Replit and ChatGPT
Fork the Replit repo “contract‑review‑pipeline”. Add langchain to requirements.txt and install the OpenAI package.
Create a new Python file translate.py:

from langchain.llms import OpenAI
from langchain.document_loaders import TextLoader

llm = OpenAI(temperature=0.2, max_tokens=300)

def translate(text, target_lang):
    prompt = f"Translate the following contract clause into {target_lang}: {text}"
    return llm(prompt)

Call translate() before passing content to the main review model.
Set the target language in the UI form (e.g., “es” for Spanish).
Do you see a translated clause in the output? If the translation is incomplete, increase max_tokens or switch to the gpt-4o model.
See our Menshly post on “Scaling AI Contracts to Multiple Languages”.

5. Publish a Video Walkthrough with Fliki AI and Loom
Create a new Fliki project → Upload Text → paste the AI‑generated review script. Under Voice, select a professional English voice and set speed to 1.0.
Generate the video → download the MP4.
In Loom, start a recording → drag the MP4 onto the canvas, add a brief on‑screen overlay of your brand logo (Canva PNG).
Upload the final video to YouTube → set the visibility to Unlisted and copy the share link.
Embed the link in the client portal and in the Klaviyo “Review Completed” email.
Do you see the overlay correctly? If the logo is misaligned, adjust the Position slider in Loom.
Refer to Menshly’s “Video Marketing for AI Services” for advanced editing techniques.

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Recommended Tools

These are the tools we recommend for building and scaling AI automation businesses:

• ElevenLabs — AI voice synthesis — natural voiceovers and voice cloning
• Notion — All-in-one workspace — notes, docs, project management
• Grammarly — AI writing assistant — grammar, tone, clarity