Inside Airtable: Our AI-Powered Contract Central
Airtable's legal ops team built their contract management system on Airtable. This guide breaks down how it works, the AI logic, the governance guardrails, and cross-functional workflows that turn a manual, high risk process into one that easily scales.
The problem with how legal teams manage contracts today
Every contract a company signs contains commitments, restrictions, and obligations that vary from customer to customer. Knowing what you have agreed to, for which customers, across every term you care about, requires reading every document manually, and most teams simply do not have a reliable way to do that at scale.
Most legal teams are dealing with a version of the same core challenges, regardless of company size or how many contracts they manage.
When legal teams do try to track contract terms systematically, it typically means lawyers going through a long form after every negotiation and manually recording every term the team cares about. This is a lot of work, and if the team ever needs to start tracking a new term, someone has to go back through every existing contract and capture it by hand.
Contract data lives in documents, not in systems. Because contract information is buried in PDFs and attachments rather than as structured data, it cannot be filtered, searched, or acted on without manual effort.
Lastly, the business cannot act on what legal cannot surface. When a regulatory change happens, a product feature needs to be restricted, or a marketing commitment needs to be flagged, the legal team is often the bottleneck, because the information is not in a format that allows them to move quickly.
How Airtable's Legal team uses Airtable
Airtable's legal team built their own Airtable app called ContractCentral to give the team a complete, searchable view of every commitment made across thousands of customer contracts.
What used to require lawyers manually completing long intake forms now runs automatically the moment a contract is added.
How to use this build:
1. Automate term extraction from every contract
Sync your contract repository into Airtable and set up AI fields to pull the terms, governing law, privacy clauses, co-marketing rights, data handling restrictions. AI reads the document and answers the questions. No manual entry required.
2. Filter and action your entire contract portfolio
Search, filter, and segment across every contract in seconds. Need to find every customer with California governing law before a new privacy regulation kicks in? The list is already there.
3. Pull contacts directly from contracts
Use automations to extract legal contacts from every document and link them back to the relevant record. When you need to notify a specific group of customers, the contact list builds itself.
4. Trigger business actions when contract conditions are met
New co-marketing exhibit signed? Slack fires to the marketing team. Customer has international data restrictions? They're automatically routed away from international support agents. The contract terms run the workflow.
How every part of the legal workflow changes
Term extraction
Before: Lawyers manually complete a long intake form after every contract negotiation
After: AI reads every contract as it is added and extracts all tracked terms automatically
Adding new terms to track
Before: Someone has to go back through every existing contract and capture the new term by hand
After: Add a new AI field and the extraction runs across the entire contract repository
Contract search
Before: Teams read through documents manually to find specific terms or commitments
After: Filter across thousands of contracts by any tracked term in seconds
Legal contacts
Before: Contact information is buried in contract documents with no easy way to retrieve it
After: Automations extract every contact from every contract and link them back to the record
Business notifications
Before: Legal team manually flags relevant contracts to other teams
After: Notifications and workflow triggers fire automatically when contract conditions are met
Compliance enforcement
Before: Teams rely on manual processes to ensure contract restrictions are followed
After: Contract terms drive automated routing, feature restrictions, and customer segmentation directly
What this means for your bottom line
- Eliminating the most expensive part of contract management. The manual intake process, where lawyers go through a long form and record every tracked term after every negotiation, is one of the most time-consuming and costly parts of running a legal ops function at scale. When AI handles that extraction automatically, the legal team's time goes toward higher-value work rather than data entry.
- Faster response when something changes. When a new regulation is introduced or a product change requires identifying affected customers, the legal team's ability to respond quickly depends entirely on how accessible their contract data is. With every term already extracted and searchable, a question that would previously have taken days of manual review can be answered in minutes, and the outreach or action that follows can happen just as fast.
- Reduce the risk of missing what matters. The most significant operational risk in contract management is not knowing what you have agreed to until something goes wrong. When contract terms automatically trigger the right workflows, whether that means routing support tickets, restricting product features, or notifying the right contacts, compliance becomes a function of the system rather than a function of individual memory. New contracts that meet the relevant criteria are handled automatically from the moment they are added, without anyone needing to remember to act on them.
See how Airtable's legal team uses AI-powered contract operations — and how you can build something similar.