AI tools for law firms, like Harvey, are priced to capture a portion of the firm's labor budget, not just its software spend. With an average contract value near $200,000, Harvey is effectively selling a replacement for a human lawyer, accessing a much larger market.

The world's largest law firm is spending $500M on a proprietary AI platform not just for efficiency, but as a strategic defense. They anticipate AI service providers like Harvey could eventually offer services directly to clients, cutting out traditional law firms. This in-house build is a move to prevent being disintermediated by their own tech vendors.

DocuSign's market leadership stems from a network effect built on trust. Businesses choose the platform because their counterparties (customers, partners) already trust it, reducing friction in high-stakes transactions, especially with new customers.

The concept of AI agents signing contracts is no longer theoretical. DocuSign has commercially released its agentic platform to tens of thousands of customers. While human-in-the-loop safeguards are key, this marks a significant step towards automating high-volume, low-stakes agreements like NDAs and simple procurement orders.

Harvey's initial product was a tool for individual lawyers. The company found greater value by shifting focus to the productivity of entire legal teams and firms, tackling enterprise-level challenges like workflow orchestration, governance, and secure collaboration, which go far beyond simple model intelligence.

A new ecosystem is emerging where law firms are not just end-users of Harvey's AI but also channel partners. They are leveraging their expertise to help their in-house legal clients adopt and implement the technology, creating a new, high-margin line of business for themselves as tech consultants and implementers.

Releasing AI-powered contract summaries for consumers was framed internally not as a feature, but as a moral question. The CEO felt it would be a "dereliction of duty" not to provide context, even with liability concerns, as it's better than consumers signing blindly.

While many legal AI tools use the same foundational models, they differentiate by offering features crucial for law firms: strict permissions, compliance controls, and integrations with proprietary legal databases like Westlaw. This 'packaging' of trust is the real product, for which discerning law firms willingly pay a premium.

OpenAI's partnership with ServiceNow isn't about building a competing product; it's about embedding its "agentic" AI directly into established platforms. This strategy focuses on becoming the core intelligence layer for existing enterprise systems, allowing AI to act as an automated teammate within familiar workflows.