Archive Intel vs. Smarsh

Smarsh is the most recognized name in communications archiving and serves the largest financial institutions in the world. Their published verticals span broker-dealers, RIAs, banking, and the public sector. That scale and brand recognition is part of what large firms buy.

Archive Intel is built for the mid-market RIA and broker-dealer segment. The supervision categories, the marketing review workflow, and the pricing structure are designed for firms that need SEC and FINRA specific tooling without an enterprise procurement process. For a 5 to 250 advisor firm, Archive Intel scales to fit; for a 50,000-seat global bank, Smarsh's enterprise infrastructure is a more conventional choice.

Bottom line: Firm size and procurement complexity drive this choice as much as feature parity does.

Off-channel text is the single largest source of recent SEC and CFTC enforcement actions against financial firms. The question is how each platform actually captures texts from advisors' personal devices.

Archive Intel captures iMessage, WhatsApp, and Android SMS directly from the advisor's personal device using contact-level whitelisting. The advisor uses the same phone and the same number they already use. Whitelisted business contacts are captured. Personal messages are not. There is no second phone, no managed app, and no behavior change for the advisor.

Smarsh offers mobile archiving as part of their broader platform. The specific implementation for personal device text capture is not described in detail on their public marketing materials. Buyers should ask Smarsh directly which channels are captured natively, which require a managed device or app, and what the configuration is for advisors who text from personal iMessage or WhatsApp.

Both platforms describe their AI as contextual. Smarsh markets "AI agents" that "analyze context, sentiment and behavior" to surface risks including "insider trading, market manipulation, and conduct risks." Archive Intel publishes a 99% reduction in false flags and a 95% reduction in manual review volume, using contextual AI tuned to the SEC and FINRA recordkeeping risk categories.

Both vendors should be able to show you a live flagged-versus-cleared report for a firm comparable in size and channel mix to yours. That demonstration is the most useful basis for comparing AI capability, more than marketing language is.

FINRA Rule 2210 requires retail communications distributed to more than 25 retail investors within 30 days to be reviewed and approved by a registered principal before use. The marketing review workflow is how firms close that requirement.

Archive Intel includes marketing pre-use review as a native part of the platform with a unified audit trail alongside communications archiving. Smarsh does not advertise marketing pre-use review as a core capability on their homepage; firms relying on Smarsh for this workflow typically supplement with a separate product. Confirm directly with Smarsh whether they offer a marketing pre-use review module.

Archive Intel publishes its pricing. The platform fee is $99 per month. Per-seat per-connector pricing has no minimums and no tiers. Marketing review starts at $500 per month. The cost is knowable before any sales conversation.

Smarsh pricing is not published and varies by configuration, channel mix, retention, and enterprise contract terms. For large enterprise procurement that is conventional. For mid-market firms it makes early-stage budgeting and vendor comparison harder.