Select and Prioritize AI Use Cases for Your Law Firm

Balancing value and risk: Selecting AI use cases that improve firm performance while managing accuracy, confidentiality, ethical, and regulatory risk.
Aligning AI to strategy and maturity: Avoiding tool-led decisions by prioritizing use cases that align with firm strategy, workflows, and current level of AI readiness.
Proving ROI under uncertainty: Justifying investment amid unclear efficiency gains, verification overhead, and evolving cost and security constraints.
Driving adoption and capability: Overcoming cultural resistance and skill gaps to ensure AI is used safely, effectively, and consistently across the firm.

Our Advice

Critical Insight

Law firms underperform on AI adoption not due to a lack of ideas or tools but because unclear outcome metrics and underestimated cultural resistance drive tool-led decisions that dilute focus, slow adoption, and obscure ROI.

Impact and Result

Produced a defensible, market-informed shortlist of AI use cases filtered by AI maturity, feasibility, and governance implications, creating clarity on where to invest now versus later.
Built shared understanding across stakeholders of trade-offs, adoption barriers, and success conditions, enabling more confident, coordinated AI investment decisions.

Select and Prioritize AI Use Cases for Your Law Firm Research & Tools

1. Select and Prioritize AI Use Cases for Your Law Firm – This research will help law firms identify, evaluate, and prioritize AI use cases that deliverable measurable value while aligning with firm strategy, culture, and maturity.

The purposed of this research is to help law firms streamline their process when selecting and prioritizing AI use cases.

2. Legal AI Use Case Library – A curated set of use cases that provide a structured view of where AI can be applied across a law firm.

This library is designed to help law firms identify, compare, and prioritize AI opportunities based on business value and operational impact.

3. Legal AI Initiatives Prioritization Tool – Use this document to determine which AI initiatives are most aligned with your value and feasibility metrics and should be included on your list for further exploration.

Determine the feasibility and value rubric used to prioritize AI use cases. Describe and score your initiatives according to the rubric to determine whether to include them on your shortlist for further consideration and validation.

4. AI Maturity Assessment Tool – An easy-to-use tool that will help focus your efforts to get your AI initiatives up to speed.

Use this framework to analyze the current state of the gaps between your current and target states and systematically develop a plan to address them.

Assign maturity scores to each of five AI dimensions, such as governance, infrastructure, and people.
Generate scores for current and target states for each AI dimension in a clear report.
Use the results as a starting point for initiatives supporting maturity growth toward your target state.

Balancing value, feasibility, and risk

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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Get the help you need in this 3-phase advisory process. You'll receive 11 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Understand Firm Capabilities and Candidate Use Cases

Call 1: Scope requirements, objectives, and your specific challenges.
Call 2: Define AI vision statement.
Call 3: Identify strategic principles.
Call 4: Establish responsible AI guiding principles.

Guided Implementation 2: Assess the AI Maturity of Your Firm

Call 1: Assess the organization’s current state capabilities for managing AI.
Call 2: Identify candidate business capabilities to be addressed by AI-based solutions.
Call 3: Assess the value and feasibility of the AI business initiatives.

Guided Implementation 3: Prioritize AI Use Cases

Call 1: Prioritize the AI business initiatives.
Call 2: Build a strategy roadmap.
Call 3: Build a communication plan.
Call 4: Build an executive AI strategy roadmap deck.

Author

Kassim Dossa

Contributors

CJ Saretto, CTO, Axiom Law
Bryce Berry, CIO, Norton Rose Fulbright – Canada
Alex Bazin, CTO/COO, Lewis Silkin LLP
Aly Dossa, Shareholder & Chair, Privacy and Security Practice, Chamberlain Hrdlicka