Platform Control Outflanks Marveri
Marveri
The real choke point in AI diligence is not the extraction model, it is control over where documents live and who is allowed to see them. Marveri can read a deal room well, but platforms like Datasite, Harvey, and Legora are moving upstream into the default workspace where files are stored, permissions are enforced, and lawyers already spend time. Once diligence is one tab inside that broader system, a separate diligence purchase becomes much harder to justify.
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VDR vendors have the cleanest route to squeeze standalone tools because they already own the document pipe. Datasite says it handles more than 40% of the top 100 global M&A deals annually, launched an MCP server on April 28, 2026, and lets AI assistants analyze live VDR content without exporting files, while keeping room level permissions and audit trails in place.
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Legal AI platforms attack from the opposite direction, through firmwide adoption. Harvey is at $300M ARR as of May 2026, Legora reached $100M ARR in April 2026, and firms are increasingly using both as general legal workspaces for research, drafting, and diligence. That gives them a built in channel to add M&A review features before a specialist tool is even evaluated.
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Comparable workflow companies show why environment control matters. Emma connects directly into VDRs and cloud repositories, syncs documents in real time, classifies them against an IRL checklist, and flags missing items before clause review starts. That means the winning product is often the one that organizes intake and access first, not the one that only analyzes after export.
This market is heading toward bundled diligence inside the systems that already own legal work or deal execution. Marveri’s path to durable leverage is to become the best high trust review layer inside those systems, or to own a workflow so exacting in cap tables, consents, and disclosure schedules that the platforms controlling the document environment still need it to finish the job.