NewsCFOCrew named an OpenAI Select Partner

Capacity, control, and better business insight

AI solutions for law firms and legal teams

Improve firm economics and selected legal workflows with explicit confidentiality, review, and professional-responsibility boundaries.

Explore concrete use cases See engagement packages

Where the pressure shows up

Start with the operating constraint.

The right answer may involve workflow design, training, AI, finance, or a combination. Technology comes after the business problem and decision rights are understood.

  • Matter economics are difficult to see
  • Confidentiality limits experimentation
  • Legal work requires defensible human review
  • Partners need proof before approving implementation

Concrete use cases

See the problem, workflow, review, and result together.

Each use case belongs to a specific operating problem for law firms and legal teams. The visible output connects to the workflow, review point, and business result.

Matter profitability brief60 claims traced
Corporate41.8%
Real Estate35.4%
Disputes26.9%
Halloran Industries-$365K
Claim C041 resolves to source rows and calculation

Use case 01

Matter profitability brief

A high-revenue client is shown to be loss-making, with every number traceable.

  1. 01Firm source systems
  2. 02Calculate economics
  3. 03Partner review
  4. 04Monthly brief
Human review

Firm leadership confirms definitions, source rows, calculations, and the management conclusion.

Business result

A high-revenue client is shown to be loss-making, with every number traceable.

Use-case register8 active
Internal summaryApproved
Client data analysisReview
External commitmentRestricted

Use case 02

AI use-case register

Ownership, data boundaries, review status, and decision rights remain visible.

  1. 01Use-case intake
  2. 02Classify and control
  3. 03Owner approval
  4. 04Monitor and reassess
Human review

Assigned business, security, legal, and data owners approve or restrict each proposed use case.

Business result

Ownership, data boundaries, review status, and decision rights remain visible.

Team practice progress68%
Responsible useCompleted
Review AI workIn practice
Role workflowManager review

Use case 03

AI adoption workspace

Training connects to approved work, review quality, and follow-through.

  1. 01Role baseline
  2. 02Practice workflow
  3. 03Manager review
  4. 04Adoption evidence
Human review

Managers review practice quality and approve when a role is ready to use the workflow independently.

Business result

Training connects to approved work, review quality, and follow-through.

Three ways to engage

Choose an assessment, an implementation, or a broader program.

Begin with the level that matches your current need and capacity. Each engagement is tailored to the workflow, systems, risk, and people involved.

01

Assess

AI Readiness and Risk Review

Best forFirm leaders who need a practical view of opportunity, confidentiality, and professional obligations

Inventory current use, identify appropriate workflows, and define data, review, and accountability boundaries.

Typical timeframe2 to 4 weeks

What you receive

  • Use-case and tool inventory
  • Risk and data classification
  • Professional review requirements
  • Prioritized action plan
What you can seeLegal use-case register and risk review board
Business resultA usable path forward that legal, technology, and firm leadership can evaluate together.
Discuss a readiness review
02

Implement

Focused implementation

Business of Law Brief

Best forFirms seeking better visibility into matter economics, realization, WIP, and profitability

Assemble source-traceable firm economics into a monthly management brief with definitions, claims, and release controls.

Typical timeframe6 to 10 weeks

What you receive

  • Matter profitability brief
  • Metric and definition contract
  • Claim and source register
  • Monthly production workflow
What you can seeExecutive brief, profitability view, and claim ledger
Business resultA repeatable view of firm economics that shows both the finding and how it was calculated.
Explore the business brief
03

Scale

Practice Productivity Program

Best forFirms ready to improve selected legal and administrative workflows with controlled adoption

Combine safe foundations, role-based training, selected workflow pilots, and an operating governance cadence.

Typical timeframe3 to 6 months

What you receive

  • Role and workflow assessment
  • Selected pilots
  • Training and review standards
  • Governance and adoption program
What you can seePractice workflow gallery, review queue, and adoption dashboard
Business resultMeasured capacity improvement with explicit lawyer review and client-data controls.
Discuss a firm program

How implementation works

No invisible jump from idea to production.

The implementation is made understandable before systems are connected or people are asked to change how they work.

Bring one real workflow

Start with the current people, inputs, decisions, systems, and friction.

Make the result visible

Show the proposed interface, AI preparation, human review, and business output.

Test inside boundaries

Use approved data, defined acceptance criteria, and explicit release decisions.

Transfer capability

Document the workflow, train the people, and establish monitoring and support.

Delivery boundaries

The client, CFOCrew, and AI each have a defined role.

Scope changes by engagement, but consequential decisions remain with accountable people and implementation claims remain evidence-based.

Your team owns

  • Business priorities and final decisions
  • Approved source data and system access
  • Subject-matter review and acceptance

CFOCrew delivers

  • Workflow and control design
  • Implementation, testing, and documentation
  • Training and responsible handoff

AI supports

  • Structured preparation and drafting
  • Classification, retrieval, and analysis
  • Exception and missing-information signals

Related capabilities

Continue from sector context to the capability you need.

These pages explain the implementation, governance, training, and finance capabilities behind the sector packages.

AI Governance Strategy and Readiness Training and Adoption

Bring one real problem and the current way the work gets done.

We can identify the right engagement level, the evidence needed, and the smallest responsible next step.

Discuss the right package