RM Assistant vs Lido
Lido is positioned as general template-free document extraction; RM Assistant is an insurance intake workflow that also handles email ingestion, clearance-ready identifiers, human review and the write into your system of record.
The short answer
Lido publicly positions itself as an AI document extraction platform that pulls structured data from underwriting documents without templates or custom field mapping, across applications, financial statements, loss runs and supporting schedules.
Lido is positioned as general template-free document extraction; RM Assistant is an insurance intake workflow that also handles email ingestion, clearance-ready identifiers, human review and the write into your system of record.
This page describes Lido's publicly stated positioning, not verified internal capabilities, and it was written by us — so read it as one side of the story. Product details change; confirm anything decision-critical directly with Lido. If you believe something here is inaccurate, tell us at [email protected] and we will correct it.
Which one you should actually pick
Including the cases where we are not the right answer.
Choose Lido if…
- You want a flexible extraction tool across many document types, including financial statements, not only insurance submissions.
- You already have an intake workflow and only need the extraction step improved.
- You want to upload documents ad hoc rather than have an inbox monitored.
Choose RM Assistant if…
- You want the whole path automated, from the broker's email arriving to a record existing in your policy administration system.
- You need insurance-specific handling: ACORD form recognition, loss-run itemisation merged across carriers, VIN decoding, DOT and MC capture.
- You want a review queue with field-level confidence as a built-in step rather than something you assemble.
- Commercial trucking documents are a large part of your volume.
Side by side
| Dimension | RM Assistant | Lido |
|---|---|---|
| Starting point | The broker's inbound email, ingested automatically | Documents you provide to the platform |
| Ending point | A reviewed record written into your policy administration system | Structured extraction output |
| Insurance-specific logic | ACORD recognition, loss-run merging, VIN decoding, DOT and MC capture | Positioned as general document extraction |
| Human review step | Built in and required before posting | Verify directly with the vendor |
| Pricing model | Per submission processed; reviewer seats free | Verify directly with the vendor |
Questions about this comparison
Is RM Assistant just document extraction?
No, and this is the main difference from a general extraction tool. Extraction is one of four steps. The pipeline also ingests the broker's email automatically, classifies which insurance document each page belongs to, routes low-confidence fields to a human review queue, and writes the approved record into your policy administration system. A tool that returns excellent extraction output but leaves someone to get it into your system of record has moved the manual work rather than removed it.
Can we use a general extraction tool instead?
You can, and if you already have a working intake workflow and only want better extraction, that may be the cheaper change. The insurance-specific parts — knowing an ACORD 127 from an ACORD 140, itemising and merging loss runs across carrier formats, reconciling a decoded vehicle schedule against the count on the application — are where a general tool tends to leave work behind.
Decide it on your own submissions
The only comparison that settles anything is running the same real submission through both. We will do our half in 30 minutes.
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