Legal Ai Budget Guide Firm Size

Buy AI tools in this order: general assistant first, research second, practice-specific third, enterprise last. Every firm size follows the same priority stack — the difference is where you stop. Solos stop at step one or two. Small firms reach step three. Mid-size and large firms go all the way. Skip this order and you'll overspend on specialized tools before extracting value from the basics.

This guide gives you the exact purchasing sequence at each firm size, including what to skip entirely. The legal AI market wants you to buy everything. You don't need everything.

Solo Practitioners: The $25-150/Month Stack

Buy first: Claude Team or ChatGPT Plus ($20-25/month). This covers 70% of your AI use cases — research summaries, first-draft memos, client email drafting, contract review, brainstorming case strategy. Start here and use it for 30 days before buying anything else.

Buy second: Legal research enhancement. If your bar includes Fastcase or Casetext access, pair that with your AI assistant. If not, vLex ($50-100/month) adds case law access. Only buy this if you're hitting the limits of your AI assistant for legal research.

Skip entirely: Harvey ($1,200+/year), enterprise CLM platforms, eDiscovery tools, any tool requiring a minimum 5-user license. These are built for firms, not solos. The marketing will tell you otherwise. Don't listen.

Total monthly spend: $25-150. If you're spending more than $150/month as a solo on AI tools, audit what you're actually using.

Small Firms (2-10 Attorneys): The $200-1,500/Month Stack

Buy first: Claude Team or ChatGPT Enterprise for all attorneys and paralegals ($25-60/user/month). Firm-wide AI access with admin controls and data governance. This is your foundation.

Buy second: Practice-specific tool for your primary practice area. PI firm? EvenUp for demand letters. Immigration? Docketwise. Contracts? Spellbook. One tool that targets your biggest workflow bottleneck.

Buy third: Enhanced legal research if your current platform isn't sufficient. Westlaw/Lexis AI features or standalone tools like vLex.

Skip entirely: Enterprise CLM (Ironclad, Agiloft) — Juro at $25/user covers small firm needs. Harvey — unless you're a litigation boutique handling complex cases where legal-specific AI accuracy is critical. Multiple overlapping AI tools — pick one per category.

Total monthly spend: $200-1,500. The most common small firm mistake: buying three AI tools that overlap 60% in capability. Pick one general assistant, one practice-specific tool, done.

Mid-Size Firms (11-100 Attorneys): The $2,000-8,000/Month Stack

Buy first: General AI for everyone (Claude Team at $25/user for all staff). Non-negotiable baseline.

Buy second: Legal-specific AI for power users. Harvey or CoCounsel for your top 10-20 attorneys handling the most complex work. Don't deploy firm-wide — tiered access is smarter.

Buy third: Practice-specific tools by department. Litigation: eDiscovery AI (Everlaw or DISCO). Transactional: CLM (Ironclad or Luminance). PI: EvenUp. Immigration: Visalaw.ai. Each department gets the tool that matches their workflow.

Buy fourth: Integration and governance tools. AI usage monitoring, prompt libraries, training programs. At this size, governance matters more than adding more tools.

Skip entirely: Custom AI development (premature at this size for most firms). Multiple tools solving the same problem in different departments — standardize.

Total monthly spend: $2,000-8,000. The mid-size firm mistake: deploying Harvey to all 50 attorneys when only 15 use it regularly. Audit usage quarterly.

Large Firms (100+ Attorneys): The $10,000-50,000/Month Stack

Buy first: Enterprise AI platform with firm knowledge integration (Harvey or equivalent). At this scale, the compliance, audit trail, and knowledge management features justify the premium.

Buy second: General AI for all non-attorney staff (Claude Team or ChatGPT Enterprise). Paralegals, legal assistants, marketing, business development, operations — everyone benefits.

Buy third: Specialized platforms by practice group. Enterprise eDiscovery (RelativityOne + Everlaw for overflow). Enterprise CLM (Ironclad + Luminance). Litigation support AI. Transaction support AI.

Buy fourth: Custom AI development and integrations. Internal tools, custom workflows, API integrations with existing systems. At 100+ attorneys, custom development ROI starts to make sense.

Buy fifth: AI governance infrastructure. Dedicated AI committee, usage monitoring, ethics training, vendor management. This isn't optional at scale.

Skip entirely: Consumer-tier AI tools being deployed firm-wide. Point solutions that overlap with your enterprise platform. Shiny new tools without proven legal track records — let mid-size firms beta test.

The Universal Rules That Apply at Every Size

Rule 1: General before specific. A $25/month general AI tool handles more use cases than a $200/month specialized tool. Start broad, narrow later.

Rule 2: One tool per category. Don't buy Spellbook AND Luminance AND Juro for contract work. Pick one. If it doesn't work after 90 days, switch.

Rule 3: Audit usage quarterly. If less than 50% of licensed users touch a tool monthly, you're overspending. Reduce seats or eliminate the tool.

Rule 4: Budget for training, not just tools. A tool your team doesn't know how to use delivers zero ROI. Allocate 10-15% of your AI budget to training and prompt development.

Rule 5: Don't chase features you won't use. Harvey's firm knowledge base is incredible — but only if you actually build and maintain it. Ironclad's workflow automation is powerful — but only if you actually configure the workflows. Buy tools you'll implement fully, not tools with impressive feature lists.

The Bottom Line: General AI first. Research second. Practice-specific third. Enterprise last. Follow this order at every firm size. The right AI budget is 1-3% of revenue, but the right AI tools depend on where your actual bottlenecks are — not where vendors tell you they should be.