Buyer's Guide

Selecting a Communications Compliance Platform

The compliance software market is crowded, and the differences between platforms are not always obvious from a vendor's own website. This guide gives compliance officers and firm principals a framework, a side-by-side comparison, and a way to ask vendors the questions that matter.

Since 2021, off-channel communications failures have driven more than $3 billion in SEC and CFTC fines across broker-dealers and investment advisors. Choosing the right platform means choosing one that closes the gaps that drive enforcement, not just one that handles email.

This guide is written to help a compliance officer or firm principal make an informed decision, not to declare a winner. The right platform is the one that matches your firm's channels, supervision model, and growth plans. Read the six evaluation questions below, then use the comparison table to take notes as you evaluate vendors.

Six Questions to Answer Before You Choose

Before comparing platforms, get clear on what your firm actually requires. Each question below ends with what to ask the vendor.

Question 1

How are client texts captured from personal devices?

Most off-channel risk lives in advisor personal devices. Platforms take one of three approaches: contact-level whitelisting on the advisor's existing phone, a managed app the advisor installs, or a managed second number or device. Each approach has different friction and different cultural implications for how advisors actually work.

Ask the vendor Does the platform capture iMessage, WhatsApp, and Android SMS directly from the advisor's personal device and personal number, or does it require a second phone, an app install, or a managed number?
Question 2

Which channels does the platform cover?

A complete program needs to cover email, text, LinkedIn, social media, web, video, and marketing materials. Some platforms cover all of these in one product. Others require separate modules or third-party integrations for each channel, and those modules do not always share a unified audit trail.

Ask the vendor Which of these channels are native to the platform, which require add-ons, and which require an integration with another product? Is there one audit trail across all channels?
Question 3

Is the AI supervision contextual or keyword-based?

Keyword-based supervision flags any message containing trigger terms, regardless of context. The result is a high false-positive rate. Contextual AI evaluates how language is used inside the communication and identifies risk in the context of SEC and FINRA recordkeeping standards. The buyer impact is review volume: keyword AI multiplies it, contextual AI reduces it.

Ask the vendor How does the platform decide what to flag for review? What is the typical false-positive rate for a firm of our size? Can you show me the flagged-vs-cleared report from a comparable customer?
Question 4

Is marketing pre-use review included or sold separately?

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. Some platforms include marketing review in the core product with a unified audit trail. Others sell it as an add-on or route it to a third-party product, which creates a separate workflow and a separate review record.

Ask the vendor Is marketing pre-use review native to the platform? Is the approval audit trail unified with the communications archiving record, or is it a separate system?
Question 5

What does data access cost, and how fast is retrieval?

When an examiner requests records, the firm needs to produce them quickly. Some platforms charge retrieval fees, export fees, or require advance notice for large exports. During an SEC examination or a litigation hold, these charges and delays add up.

Ask the vendor Are retrieval and export included in the platform fee, or charged per-export or per-record? What is the largest export the platform can produce in 24 hours? Does storage have a cap before overage fees begin?
Question 6

Is pricing published or sales-driven?

Published pricing means the firm can model cost before any sales conversation. Sales-driven pricing means the cost is unknown until a contract is negotiated, and the cost typically grows with headcount in ways that are difficult to predict.

Ask the vendor Can you provide a written quote that includes the platform fee, per-seat fee, per-channel fee, retrieval fees, and any overage charges, scaled to our projected size two years from now?

Platform Comparison

Side-by-side view of the platforms CCOs at SEC and FINRA regulated firms evaluate most. Use this as a worksheet alongside vendor calls.

Evaluation Criterion Archive Intel Smarsh Global Relay Hadrius Greenboard MirrorWeb
Primary industry focus Multi-industry; financial services solutions for BD, RIA, banking Multi-industry; finance, legal, life sciences, insurance, energy, government Financial services (BD, RIA, private funds) Financial services (RIA, BD, hedge funds, private funds) Multi-industry; financial services, legal, insurance
Personal device text capture method Not specified publicly; verify with vendor Not specified publicly; verify with vendor Not specified publicly; verify with vendor Captures SMS and iMessage; method not specified publicly, verify with vendor BYOD capture; vendor states "no behavior change required"
Channels published on vendor website Email, IM & collaboration, mobile, social, web, voice Email, messaging, collaboration, mobile, voice, WhatsApp, IM Email, chat, social Email, Slack, Teams, SMS, iMessage, social, Bloomberg, marketing Email, SMS, WhatsApp, Zoom, LinkedIn, Teams, Slack, iMessage, Instagram, Facebook, X, Google Chat, Bloomberg, websites
AI supervision approach (per vendor) "AI agents... analyze context, sentiment and behavior" "Generative AI reviews messages in context" "Policy-aware AI," "zero-retention AI" AI-native supervision; custom-rules "AI risk graph" "Explainable AI" with scenario-based detection
Published false-flag reduction metric Not published Not published 99% Not published 98%
Native marketing pre-use review Not advertised on homepage Not advertised on homepage Yes, AI marketing reviews Yes No
Pricing published No, contact sales No, contact sales No, contact sales No, contact sales No, contact sales
Retrieval and export costs Verify with vendor Verify with vendor Verify with vendor Verify with vendor Verify with vendor

Competitor claims drawn from each vendor's own public website as of June 2026. AI behavior, false-flag metrics, and channel coverage reflect what the vendor publishes, not independent benchmark testing. "Verify with vendor" appears where the vendor does not publish a definitive answer. Use those rows as questions to bring to your vendor calls. Vendor offerings change; buyers should confirm directly before deciding.

How to Use This Guide

Step 1. Define your channels.

List every channel your advisors use today (email, iMessage, WhatsApp, Android SMS, LinkedIn, other social, video, marketing materials, web). Note which are captured today and which are not.

Step 2. Run each vendor through the six questions.

Ask the vendor question version of each criterion. Document the answers in writing, not just on a sales call. Most disputes during contracting come from verbal answers that did not survive into the contract.

Step 3. Score the comparison.

Use the table above as your scoring sheet. For every row labeled "Verify with vendor," fill in the answer you received. The vendor that answers every row precisely, in writing, with no hedge on personal device text capture or marketing review, is the vendor most likely to deliver on what they say.

Step 4. Talk to a current customer at a comparable firm.

Ask the vendor for a reference at a firm with similar headcount, channel mix, and regulator. Ask the reference what they would change about the platform and what surprised them in year one.

Head-to-Head Comparisons

For deeper review of how Archive Intel compares against each platform individually.

Talk through your evaluation with us

A direct conversation about what your program needs and whether Archive Intel is the right fit. No pitch deck.

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