Emma aligns pricing with deal workload

Document based pricing makes Emma easier to spread inside a deal team because the buyer pays for work flowing through a live transaction, not for guessing how many lawyers, paralegals, and clients need logins. That matters in diligence, where a room can suddenly pull in dozens of reviewers for a few intense weeks. Emma packages unlimited users and unlimited data rooms around a per document meter, so procurement follows file volume, which is the clearest proxy for how heavy the deal actually is.

• Emma is built around synced virtual data rooms, where documents and folder structures update in real time and reviewers work from risk cards, document browsers, and playbooks. In that workflow, charging by document fits the unit of work better than charging by named user seats.
  2 emma 3 emma 4 sacra
• This pricing also removes a common law firm annoyance during transactions, access counting. When associates, partners, specialists, and client side reviewers join for a burst of activity, the firm does not need to buy more seats or restrict who can enter the workspace.
  1 emma 4 sacra
• The contrast with broader legal AI vendors is important. Luminance often sells enterprise subscriptions and sometimes usage based projects, while general legal AI products are commonly discussed in per seat terms. Emma is aligning price to matter volume in a narrow M&A diligence workflow, not to firmwide lawyer adoption.
  5 sacra 6 sacra 7 sacra

Going forward, this model should help Emma win teams that want to start on one live deal and then expand as document volume rises. The more legal AI splits into workflow specific tools, the more pricing will track the job being done, and not the headcount sitting around the table.