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Legora CEO bets on usage-based pricing over software seats

Created at 11 Aug · 9:11 AM1 source↑ Market-relevant
IN SHORT

Legora CEO Max Junestrand is shifting his legal tech company to a usage-based pricing model, moving away from traditional per-user subscriptions. This change is driven by the rising costs associated with AI, where usage can vary significantly among users occupying the same software 'seat'.

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Key Numbers

3 yearstime since Legora's founding
13%higher daily user engagement with Legora Agent

Who's Involved

Legora
legal tech startup changing its pricing model
Max Junestrand
CEO of Legora, advocating for usage-based pricing
Cursor
coding startup that moved to usage-based pricing
Lovable
coding startup that moved to usage-based pricing
Harvey
competitor maintaining seat-based pricing
OpenAI
model provider charging developers based on usage
Anthropic
model provider charging developers based on usage
Legora CEO bets on usage-based pricing over software seats

↳ Why This Matters

The shift away from traditional seat-based software pricing, driven by the increasing costs and variable usage of AI, could fundamentally alter how businesses budget for and utilize software, potentially leading to more dynamic cost structures and a greater focus on actual value derived from technology.

Key facts

  • Legora CEO Max Junestrand believes software companies will abandon traditional seat-based pricing.
  • The shift is driven by the variable computing costs associated with AI usage.
  • Legora has transitioned new customers to a pay-as-you-go pricing model.
  • Some law firms have responded positively, linking software costs to specific tasks.
  • Other firms remain cautious, assessing AI's role in their operations before committing to new pricing tiers.

Legora CEO Max Junestrand is betting that the traditional software pricing model, based on per-user licenses or 'seats,' is becoming obsolete, particularly with the rise of artificial intelligence. Junestrand argues that the economics of software are being reshaped by AI, which requires significant computing power that can vary greatly depending on user activity.

Legora, a legal tech startup, has experienced this tension firsthand. The company's release of Legora Agent, designed to automate tasks for junior lawyers, led to higher computing costs for some users, even though they occupied a single software seat. Junestrand stated that it no longer made sense for light users to pay the same as those who heavily utilized the software's full capabilities.

In response, Legora shifted its pricing strategy. While existing customers can maintain their current contracts for the core product and opt for AI agents on a usage basis, new customers are now on a pay-as-you-go model. This change has elicited a mixed response from law firms. Some appreciate the ability to directly link software expenses to specific matters, allowing for cost comparisons with external counsel. Legora has introduced a dashboard for usage tracking and a calculator for spending forecasts.

However, other firms are more hesitant, especially those still exploring how AI fits into their operations. These firms are testing Legora's standard AI agents under existing contracts before considering upgrades. Junestrand noted that this pricing shift is crucial for survival for some startups, as heavy AI usage can lead to escalating costs from model providers without a corresponding increase in revenue.

Legora is not alone in moving away from seat-based pricing. Coding startups like Cursor and Lovable have also adopted usage-based models. However, Legora's competitor, Harvey, plans to continue offering seat-based pricing, citing transparency and predictability, while also exploring options for additional usage charges.

Frequently asked questions

Legora has moved to a pay-as-you-go, or usage-based, pricing model for new customers, while existing customers can opt for AI agents on a consumption basis.

The company is responding to the increased computing costs associated with AI usage, which makes traditional per-user pricing models less sustainable.

Customer responses have been mixed, with some welcoming the ability to link costs to specific tasks, while others are more cautious as they assess AI's integration into their work.

Yes, other startups like Cursor and Lovable have also adopted usage-based models, though some competitors like Harvey are maintaining seat-based pricing for now.

What Happens Next

01Law firms will continue to evaluate the cost-effectiveness of usage-based AI software.
02Other software companies may adopt similar usage-based pricing models.
03The long-term viability of seat-based pricing in the AI era will be further tested.

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Cadence

How It Developed

Software companies traditionally charged per user, regardless of actual usage.
AI's computing demands create cost disparities for software providers.
Legora released Legora Agent, which can significantly increase computing costs for some users.
Legora changed its pricing model to usage-based for new customers.
Existing Legora customers can upgrade to AI agents on a consumption basis.
Law firms had mixed reactions to the new pricing model.
Some customers welcomed the link between software spending and specific matters.
Other firms were skeptical, still evaluating AI integration into their workflows.

Sources

T1
Why Legora's CEO is betting that every software company ends up ditching the seatBusiness Insider

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