Legal AI Guides

Long-form, practical guides for choosing, implementing and governing legal technology.

Last reviewed on October 3, 2026.

Each guide is written to be read end to end and is dated so you can see when it was last reviewed. None of them are sponsored.

GuideTopicWhat it covers
Legal AI Implementation RoadmapImplementationFrom scoping and pilot design to full rollout and measurement.
Measuring ROI on Legal AI InvestmentsROIA numbers-first framework with a worked example.
AI Vendor Due-Diligence ChecklistProcurementSecurity, data, contract and viability questions before signing.
Building an AI Policy for a Law FirmGovernanceA short, usable AI use policy framework.
Legal AI Ethics FrameworkEthicsCompetence, confidentiality, candour and supervision.
Small-Firm Technology RoadmapSmall firmsA pragmatic technology plan for solos and small firms.
Choosing Contract Management SoftwareContractsScoping, evaluating and piloting a CLM platform.
Building a CLM Business CaseContractsTurning faster contract cycle times into numbers finance accepts.
How to Choose an eDiscovery PlatformeDiscoveryFeatures, pricing models and selection criteria.
AI Document Review in eDiscoveryeDiscoveryTAR, continuous active learning and generative-AI review, and how to validate them.
IP Management Software Buyer's GuideIPChoosing patent and trademark docketing and IP management software.

For shorter, time-sensitive analysis see the blog; for specific products, the tools directory and comparisons.