Sponsor: Filevine

AI tools are entering legal workflows faster than most firms can vet them. Contract review, e-discovery, compliance monitoring - the use cases are real, but so are the risks. Confidentiality gaps, unreliable outputs, and tools that can't adapt to your specific playbooks can set your team back instead of moving it forward.

This guide gives legal teams a structured evaluation framework covering six critical areas - so you can ask the right questions before you commit.

What you'll learn:

• How to assess whether a tool adapts to your firm's policies, escalation rules, and precedents
• What accuracy benchmarks and error-tracking standards to require
• Key governance and ethics questions including bias audits and audit rights
• Integration requirements that determine real-world adoption
• How to tie AI selection to defined legal outcomes - not vague productivity gains
• ROI evidence and scaling criteria to validate before expanding beyond a pilot

In-house legal teams are being asked to handle more contracts, faster, without adding headcount. The result: inconsistent redlines, institutional knowledge that lives only in senior counsel's heads, and a constant tradeoff between speed and accuracy.

This toolkit from Filevine helps legal operations leaders diagnose where their contract review process is falling short — and what modernization actually looks like in practice.

What you'll get:

• A breakdown of the four hidden costs teams face when they try to scale contract review manually
• A 24-point self-assessment checklist covering volume, urgency, consistency, workflow, AI readiness, and business impact
• A scoring framework to benchmark where your team stands today
• A clear picture of what domain-specific AI looks like when it's built directly into Microsoft Word — not bolted on as a separate platform

Built for General Counsel, legal ops leaders, and contract teams navigating growing workloads with flat resources.

In-house legal teams are being asked to handle more contracts, faster, without adding headcount. The result: inconsistent redlines, institutional knowledge that lives only in senior counsel's heads, and a constant tradeoff between speed and accuracy.

This toolkit from Filevine helps legal operations leaders diagnose where their contract review process is falling short — and what modernization actually looks like in practice.

What you'll get:

• A breakdown of the four hidden costs teams face when they try to scale contract review manually
• A 24-point self-assessment checklist covering volume, urgency, consistency, workflow, AI readiness, and business impact
• A scoring framework to benchmark where your team stands today
• A clear picture of what domain-specific AI looks like when it's built directly into Microsoft Word — not bolted on as a separate platform

Built for General Counsel, legal ops leaders, and contract teams navigating growing workloads with flat resources.

AI tools are entering legal workflows faster than most firms can vet them. Contract review, e-discovery, compliance monitoring - the use cases are real, but so are the risks. Confidentiality gaps, unreliable outputs, and tools that can't adapt to your specific playbooks can set your team back instead of moving it forward.

This guide gives legal teams a structured evaluation framework covering six critical areas - so you can ask the right questions before you commit.

What you'll learn:

• How to assess whether a tool adapts to your firm's policies, escalation rules, and precedents
• What accuracy benchmarks and error-tracking standards to require
• Key governance and ethics questions including bias audits and audit rights
• Integration requirements that determine real-world adoption
• How to tie AI selection to defined legal outcomes - not vague productivity gains
• ROI evidence and scaling criteria to validate before expanding beyond a pilot