GC AI's API is generally available as of July 29, 2026. It is a REST API that lets your systems reach the same company-aware legal AI your team uses in the browser and in Word: chat, playbook reviews, files, projects, and company profile context.
The next step is putting that intelligence into the apps and systems where the rest of the business works, without buying a seat for each person who needs an answer. Your playbooks and your governance still set the rules.
Connect legal AI to the tools you already use
GC AI's API connects GC AI directly to tools and automations: Salesforce, Ironclad, Jira, Zapier, Make, n8n, custom apps. Use it when a system should call GC AI as part of a workflow. It runs on credits, so no extra seat is required.
Multi-turn conversations work the same way as chat in GC AI. An admin turns on access in Integrations. Your team creates an API key for REST use, and that key carries the same permissions as the person it belongs to.
Use GC AI as a skill in Claude or ChatGPT
Claude and ChatGPT can pull playbooks and documents from GC AI during a conversation, so answers come back against your company's real agreements without anyone leaving that tool.
Do you need the API if your team already has seats?
Probably not for day-to-day work. The Slack connector, the Word add-in, and the web app already cover that, free with the seat. The API is for people without seats, for systems that run without a human starting them, and for AI clients.
Example use cases
Here are a few ways teams put GC AI to work.
Contract risk review for deal and procurement teams: each incoming contract gets structured findings before legal opens the file.
Inbox auto-review against your playbook, so checks are ready when a reviewer arrives.
Self-serve policy Q&A for employees across the company, with cited answers.
Legal request triage that classifies, risk-scores, and routes work in seconds.
Prefer copy-pasteable tutorials over click-around demos? Start here:
Credits, privacy, and control
Usage is billed in credits, pooled across your organization. One credit is $5, which buys minutes of a $200/hr senior attorney's time. Each API chat message costs 1 credit. Each playbook check costs 0.1 credit, so a 30-check playbook review costs 3 credits.
API chats are private by default. They do not appear in anyone's chat history unless your integration is configured to save them, so batch reviews and bots stay out of your workspace. Save only the chats that need human attention, and store the chat ID when the call returns.
Your legal team stays in control: keys follow user permissions, only your playbooks and documents are accessible, and admins see usage.
Get started
Building an integration takes technical work: code, an AI coding assistant, a no-code path through Zapier or Make, or a partner in legal ops, IT, or engineering.
If you are an organization admin, you can turn on access yourself. Otherwise ask your admin to turn it on for you.
Then start with code someone else already wrote. The docs publish three working examples: a contract risk heatmap, a triage router, and a Slack bot. Copy one, point it at a playbook your team already runs, and you have a first integration reviewing real contracts.
FAQ
Can You Automate Contract Risk Review and Still Keep Attorney Oversight?
Yes, when the automation stops at the analysis. A connected system sends each incoming contract to an AI platform, which runs it against your playbook and returns structured findings: flagged clauses, a severity level, and suggested redlines. The reviewer still decides what to accept, escalate, or negotiate. GC AI's API works this way, and a published walkthrough called Contract Risk Heatmap shows the pattern in code.
What AI Tools Can Automate Legal Intake and Triage Requests?
AI platforms built for legal operations can classify an incoming request, score its risk, and route it to the right owner without anyone sorting a queue by hand. GC AI's API returns that classification as structured data, so a ticketing system, intake form, or Slack bot can act on it and assign the work in seconds. A published walkthrough called Triage and Route shows the code pattern for teams building it themselves.
How Do Employees Get Answers to Policy Questions Without Going Through Legal?
An internal chatbot connected to your policy documents can answer routine questions directly, with citations back to the source document so the employee can check the language. Legal decides which documents the bot reaches and which playbooks apply. Because GC AI's API bills in pooled credits, a company can serve answers across a workforce without buying a seat for each person who asks.
How Does Pricing Work for an AI Contract Review API?
GC AI's API bills in credits rather than seats, and credits are pooled across your organization. Cost tracks the volume of work you send through, so a heavy month of contract review draws more credits than a light one without changing who has access. Chat messages and playbook checks draw different amounts, and current per-unit rates are published in GC AI's documentation.
What Happens to Contract Data Sent Through a Legal AI API?
Calls are authenticated per request, and a key only reaches what it is scoped to. A personal key sees exactly what its owner can read in the app; an organization key sees org-wide resources that are not access-controlled and cannot reach items shared privately with specific members. Either way, data stays in your GC AI workspace, and admins can monitor usage and credit consumption across the organization.\
