Legal AI adoption isn't slowing down, but the metrics defining its success have fundamentally changed. Drawing on a survey of corporate legal departments and law firms, our 2026 Legal AI Report shows rising confidence, agentic AI arriving quickly, and cost predictability emerging as the real constraint on AI adoption.

Join us as we walk through the findings and what they mean for your 2027 planning.

Key takeaways:

- Identifying AI pressure and turning executive mandates into strategic value

- Using AI agents to move from "doing the work" to "directing the work"

- Navigating AI consumption models and understanding the impact on the billable hour

- Managing rising litigation workloads and ensuring accuracy in AI-assisted tasks

Legal AI adoption isn't slowing down, but the metrics defining its success have fundamentally changed. Drawing on a survey of corporate legal departments and law firms, our 2026 Legal AI Report shows rising confidence, agentic AI arriving quickly, and cost predictability emerging as the real constraint on AI adoption.

Join us as we walk through the findings and what they mean for your 2027 planning.

Key takeaways:

- Identifying AI pressure and turning executive mandates into strategic value

- Using AI agents to move from "doing the work" to "directing the work"

- Navigating AI consumption models and understanding the impact on the billable hour

- Managing rising litigation workloads and ensuring accuracy in AI-assisted tasks

Legal AI adoption isn't slowing down, but the metrics defining its success have fundamentally changed. Drawing on a survey of corporate legal departments and law firms, our 2026 Legal AI Report shows rising confidence, agentic AI arriving quickly, and cost predictability emerging as the real constraint on AI adoption.

Join us as we walk through the findings and what they mean for your 2027 planning.

Key takeaways:

- Identifying AI pressure and turning executive mandates into strategic value

- Using AI agents to move from "doing the work" to "directing the work"

- Navigating AI consumption models and understanding the impact on the billable hour

- Managing rising litigation workloads and ensuring accuracy in AI-assisted tasks

Legal AI adoption isn't slowing down, but the metrics defining its success have fundamentally changed. Drawing on a survey of corporate legal departments and law firms, our 2026 Legal AI Report shows rising confidence, agentic AI arriving quickly, and cost predictability emerging as the real constraint on AI adoption.

Join us as we walk through the findings and what they mean for your 2027 planning.

Key takeaways:

- Identifying AI pressure and turning executive mandates into strategic value

- Using AI agents to move from "doing the work" to "directing the work"

- Navigating AI consumption models and understanding the impact on the billable hour

- Managing rising litigation workloads and ensuring accuracy in AI-assisted tasks

Legal AI adoption isn't slowing down, but the metrics defining its success have fundamentally changed. Drawing on a survey of corporate legal departments and law firms, our 2026 Legal AI Report shows rising confidence, agentic AI arriving quickly, and cost predictability emerging as the real constraint on AI adoption.

Join us as we walk through the findings and what they mean for your 2027 planning.

Key takeaways:

- Identifying AI pressure and turning executive mandates into strategic value

- Using AI agents to move from "doing the work" to "directing the work"

- Navigating AI consumption models and understanding the impact on the billable hour

- Managing rising litigation workloads and ensuring accuracy in AI-assisted tasks