Your 2025 AI Action Plan: Where to Invest, Where to Wait

January 1st is the standard time for planning. Most of my clients are asking the same question: "We want to do more with AI in 2025. Where should we invest?" Here's my framework for thinking about it.

The Three Buckets of AI Investment

High Confidence, Near-Term ROI (Invest Heavily)

These are applications where the technology is proven, your firm probably has use cases, and ROI is visible within 6 months:

• Document automation (contracts, agreements, compliance docs)
• Research assistance (legal research, competitive analysis, market research)
• Intake triage and routing
• Email and meeting summarization
• Initial document review and categorization

If you're not doing these yet, 2025 should be the year you do. The ROI is real, the risks are manageable, and you're falling behind if you wait.

Medium Confidence, Medium-Term ROI (Invest Selectively)

These are promising but not yet proven at scale. They might work for your firm. They might not. Try them with limited scope:

• AI-assisted writing for client-facing documents
• Deposition preparation and video analysis
• Contract analytics and risk scoring
• Knowledge base automation
• Internal training content generation

For these, run a pilot. If it works, expand. If it doesn't, kill it and move on. Don't bet the firm, but do allocate some budget.

Low Confidence, Long-Term (Wait)

These are interesting but not yet ready for production. Watch them. Don't deploy them:

• Fully autonomous agents doing multi-step work
• AI generating legal opinions without human review
• AI client communication without human oversight
• Video generation for client-facing content
• AI replacing partners for client relationship management

These might be relevant in 2-3 years. For now, they're not. Knowing what to wait on is as important as knowing what to invest in.

The Implementation Framework

Once you've identified where to invest, here's how I recommend structuring the work:

Q1: Audit and Plan (January - March)

Spend the first quarter really understanding your workflows. Where are you spending time on routine work? Where do people complain about inefficiency? Where would 20% time savings create disproportionate value? Map this out. Then prioritize ruthlessly—pick the top three high-confidence applications for 2025.

Q2: Pilot One (April - June)

Deploy your highest-ROI application with a real team. Not in a sandbox. In production, but with strong human oversight. Measure everything: time saved, error rates, cost, adoption. Set a clear success bar. If you hit it, you move to expansion. If you don't, you pivot.

Q3: Scale One, Pilot Two (July - September)

Expand your first success to more users. Roll out to a second practice area if you have one. Start piloting your second high-confidence application. Two pilots running in parallel, with the first one expanding.

Q4: Consolidate and Plan for 2026 (October - December)

Get your successful applications running smoothly. Document what worked, what didn't, what surprised you. Plan what to do with any budget remaining. Most importantly, start planning 2026 strategy based on what you've learned.

The Budget Question

How much should you spend? I typically recommend allocating 1-2% of operational budget to AI initiatives for firms that haven't deployed yet. If you're already running pilots, 2-3%.

This covers:

• Model APIs and licensing
• Tools and platforms (RAG, vector databases, etc.)
• Integration work
• Training
• Consulting (maybe)

If you're spending significantly more, you're probably over-building. If you're spending less, you're probably not serious about it.

The Talent Question

You need someone—full-time or fractional—who owns AI strategy. This person doesn't need to be a machine learning expert. They need to understand your business, be comfortable with technology, and have credibility with partners and practice leaders.

If you can't find someone internally, hire externally. A fractional chief AI officer is a reasonable investment. They cost less than a full-time hire, and they bring perspective from other firms.

The One Mistake to Avoid

The biggest mistake I see: firms get excited about AI and try to do everything at once. They pilot five applications simultaneously. They hire three consultants. They approve five different platforms. Six months later, nothing's deployed and they're frustrated.

Resist that urge. Pick one. Deploy it well. Learn from it. Then expand. Slow is fast.

Looking at 2025

2025 is the year of translation—from "AI is interesting" to "AI is how we work." It's the year that the firms that moved in 2024 consolidate advantage. It's the last chance for firms to deploy high-confidence applications without feeling rushed.

If you move decisively in Q1, you'll have your first wins by Q2. That's a competitive advantage. Don't wait.