Where Should a Law Firm Implement AI First?

The first AI workflow matters disproportionately. A useful first deployment creates measurable value, teaches the firm how to operate AI responsibly, and builds confidence for the next one. A poor first deployment creates skepticism that can outlast the technology itself.

The right starting point is usually not the most ambitious idea. It is the workflow with the strongest combined case across value, feasibility, risk, and adoption.

1. Value

Start with the business result. Would improving the workflow increase capacity, reduce turnaround time, improve client experience, protect revenue, or strengthen operational control?

Look for work that is frequent, expensive, delayed, or dependent on repeated manual coordination. A small improvement in a high-volume workflow can matter more than a dramatic improvement in a rare task.

2. Feasibility

A workflow is easier to implement when its inputs are available, its steps can be observed, its output can be evaluated, and the surrounding systems can support integration.

Ask whether the firm can access representative examples, define a good output, and identify the system of record. If the process depends on undocumented partner judgment or data scattered across inaccessible systems, more foundation work may be needed first.

3. Risk

Risk is not a reason to avoid AI. It is a design requirement.

Evaluate confidentiality, privilege, reliability, downstream consequences, client commitments, and the degree of attorney judgment involved. High-risk workflows may still be appropriate, but they require stronger controls, narrower scope, and more explicit review.

A bounded internal workflow is often a better first deployment than an externally facing one.

4. Adoption

The people doing the work must feel the benefit. A workflow that saves leadership money but creates extra steps for attorneys or staff will struggle.

Good candidates remove an obvious burden, appear inside tools people already use, and produce an output that is easy to review. Identify a credible workflow owner and a small group of respected users who can test under real conditions.

Use a simple scorecard

Score each candidate from one to five across:

• economic or client value;

• frequency and volume;

• data readiness;

• integration feasibility;

• reviewability;

• risk and reversibility;

• user pain;

• executive ownership.

Do not let the arithmetic replace judgment. The scorecard makes assumptions visible so leadership can compare opportunities on the same basis.

Common strong starting points

Depending on the firm, promising first workflows may include intake summarization and follow-up, consultation preparation, document collection, matter summaries, chronology creation, permission-aware precedent retrieval, client-status drafting, time-entry support, or executive operating briefs.

The best first project is specific. “Use AI for litigation” is too broad. “Create a source-linked chronology from an approved matter folder, reviewed by the assigned attorney before use” is implementable.

The goal of the first deployment is not to prove that AI is impressive. It is to prove that the firm can improve a real workflow with clear controls and measurable results.