GLOBAL RESEARCH ARCHIVE
App Software - Truist Securities Digital Dossier: Legora
Research evidence excerpt
App Software - Truist Securities Digital Dossier: Legora
Truist Securities
rather than isolated tasks, enabling it to review entire transaction documents, conduct research, draft agreements, and coordinate multi-
step matters with minimal human intervention. Mr. Eckstein stated that there are already dozens of customers on the Agent Pro offering,
with seat deployment ranging from 30 up to thousands of seats, with some contracts being in the millions of dollars range. Mr. Eckstein
believes owning this workflow layer, and the context embedded within it, positions Legora to become the system where legal work is
performed as AI assumes an increasingly larger share of routine legal tasks.
Consumption-Based Pricing Model. Mr. Eckstein views the introduction of consumption-based pricing for Agent Pro as an important
evolution of Legora’s business model, as it aligns revenue more closely with the value customers realize from AI-driven workflows. Unlike
traditional seat-based pricing, where higher customer usage increases inference costs without a corresponding increase in revenue,
consumption pricing enables Legora to monetize increased platform utilization while maintaining predetermined gross margin targets. Mr.
Eckstein further noted that the company can effectively lock in gross margins from the outset of a customer relationship, as additional
AI usage generates incremental revenue at the same targeted margin profile. To reduce billing uncertainty, Legora provides customers
with detailed usage analytics, administrative controls, and token limits during the pilot process to establish predictable consumption levels
before deployment. The company has highlighted that early adoption has been encouraging, as Mr. Eckstein is expecting consumption
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