The Streamline AI platform
Streamline AI’s Email Intake feature transforms how legal and business teams handle incoming email requests.
The AI Intake system automatically processes incoming emails, identifying key information to create a new request and populate form fields, saving time and reducing errors.
AI suggests field values such as request type, counterparty information, and dates, making it easier to complete requests.
Users can review AI-populated fields and either confirm or edit the suggested values, ensuring accuracy before proceeding.
Once confirmed, requests move seamlessly into Streamline’s workflows and behave like other requests, though your activity history will indicate if the request was triaged by AI Intake. with clear indicators showing that AI processed the request.
By leveraging OpenAI’s ChatGPT-4o mini, the AI Email Intake automatically parses incoming emails, creates requests, and predicts the value of relevant fields so users only need to confirm the AI suggestions, saving significant time when processing incoming requests. This dramatically reduces the manual effort required for triaging email requests and enables users to focus on higher-value tasks, like decision-making and approvals.
AI-Powered Email Parsing
The system reads incoming emails and guesses the appropriate request type and populates field values.
Request Review
The user reviews AI-populated data, with clear UI elements highlighting which fields were auto-populated.
Edit & Confirm
Users can edit AI predictions or revert to original AI values, then confirm the request to save it.
Workflow Activation
After confirmation, the request triggers workflows like approvals, rejections, or task assignments.
AI processes the email, assigns the request type, and populates fields. The user is notified and can review and confirm the information.
The email is listed in the tracker for manual triaging by the user. The user can assign the correct request type and proceed.
The user can manually update the request to the correct type.
users will be able to select the correct type and re-run AI Intake.
Users can add hashtags to the email body (e.g., #NDA) to categorize requests under the correct matter type. The AI processes the email based on the hashtag.
Natural Language Processing (NLP)
Powered by ChatGPT-4o mini, the AI processes unstructured email content and extracts relevant data.
AI Suggestions
Field values are auto-populated based on the email content.
Real-Time Parsing
AI parsing updates occur in real-time, with visual feedback for any user actions.
Email data is stored securely on OpenAI servers for 30 days before deletion as part of general operations and abuse detection.
OpenAI does not use customer data to train its models. All data processed remains isolated and is not commingled between customers.
Communications are secured, and customer data is fully protected, complying with industry standards.

“Streamline AI enabled us to deliver consistent 24-hour SLAs across multiple teams, including Legal, Finance, People Ops, InfoSec, and IT, as we scaled our vendor needs by 20% each quarter.”
Ronak Ray, General Counsel at Pantheon
The AI reads incoming emails, extracts key information, and creates a new request with auto-populated fields. Users can review and confirm the AI-predicted data before saving the request.
Yes, users can modify AI-predicted fields and revert to the original AI predictions if needed.
Email data is processed securely, with encryption for both storage and transmission. OpenAI retains the data for 30 days for operational purposes before it is deleted.
While AI is designed to make accurate predictions, there may be instances where the request type is incorrect. In this case, users can manually triage the request into the correct type.
No, Streamline does not use customer data to train OpenAI’s models. Data is only used to generate the AI suggestions within the AI Email Intake feature.
No, once the user confirms the entries, an AI-generated request will behave like any other request in the system.
When thinking about how emails enter Streamline, ask yourself the following questions: Will only the Legal team be allowed to send emails into Streamline, or will other users across the business also submit email requests? Most customers who successfully leverage email intake take one or both of the following approaches:
Internal requestors
The best practice is to set up internal requestors via SSO and user auto-provisioning in Streamline so the business gets notifications about status changes and can collaborate on the request.
External requestors
We recommend that emails from external requestors (e.g., a contact at a vendor) be received in Streamline and responded to in an email -thread. However, this means as external collaborators, they will not have access to the Streamline request in the platform; they will see communications sent to them via the “Email” tab in the collaboration hub..
Should email intake be a primary way requests get created?
If you choose email as a primary intake method, you will want to keep required fields in your forms minimal so that requests flow smoothly.
Use email for one-off use cases
Forwarding select, one-off emails into Streamline is an easy way to bring requests into the system for users who refuse to learn a new workflow.
Example: Your CFO emails you directly. Instead of asking them to complete a form, you can forward the email into Streamline, assign the CFO as the requestor, and continue the conversation from there.
If you receive requests from other systems or key aliases (e.g., nda@acmecorp.com), auto-forwarding those notifications allows Streamline to categorize and route them to the correct request type automatically—saving time and reducing manual review.
Assignees will get the most value when they communicate through adding comments in the Collaboration Hub.
This ensures that the communication is tracked in the history of the request, keeping a clean audit trail in Streamline.
If you have multiple Core Teams (e.g., both legal and HR are using Streamline as a tracking system) or groups who shouldn’t see each other’s requests (e.g., sensitive HR documentation), email intake may require extra configuration. Visibility rules can be preserved - you’ll just want to partner with your Customer Success Manager to set it up correctly.
(Included here for transparency, but we recommend building your actual workflow based on the best practices in the “Do’s” section above.)
For the most successful email intake implementation in the Streamline platform, we recommend that you think about Streamline as your point of truth for requests: All assignees and requestors ultimately collaborate in the platform, regardless of whether they started from email or form submissions.
This means you should focus on:
This means we also don’t recommend setting up your Streamline email intake in the following ways:
Scale your legal team's efficiency and effectiveness with modern workflow automation tools designed for in-house legal.