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A 5-attorney firm paying $950/month for a complete AI stack — research, contracts, eDiscovery, practice management, and intake — is not hypothetical in 2026. Here is how to build it.
Move from this guide to practical legal AI tool shortlists and comparison pages.
When a 5-attorney family law and estate planning firm in suburban Chicago evaluated its AI tools in late 2025, the managing partner expected the consolidation exercise to be simple. Instead, she discovered that her five attorneys held nine separate AI-related subscriptions — a mix of firm-approved platforms, individually expensed tools, and one subscription the firm had stopped using but never canceled. Total monthly spend: $1,340. After consolidation, they rebuilt the stack with four platforms at $870/month with better capability coverage and a clear owner for each tool.
This is the small firm AI procurement story of 2026: not a shortage of tools, but an abundance of them without a framework for evaluation. The $1,000/month ceiling is achievable and it covers everything a 2-20 attorney firm needs. The challenge is making deliberate choices rather than accumulating subscriptions over time as vendor sales cycles hit different partners in different months.
This article provides the specific budget breakdown for a 5-attorney firm, scales it for different firm sizes, addresses phased rollout strategy, and identifies the volume discounts worth negotiating.
The 2-20 attorney firm segment faces a different AI procurement challenge than solo practitioners and large firms. Solos optimize for cost per feature. Large firms negotiate enterprise contracts with dedicated vendor account managers and IT departments to handle integration. Small firms sit in between: they have enough scale to benefit from firm-wide pricing, but not enough scale to command large-firm enterprise terms or to absorb the overhead of complex procurement processes.
The small firm market has become a significant focus for legal AI vendors in 2025-2026. Several platforms have introduced explicit small-firm tiers — pricing bands for 2-10 and 10-25 attorney firms that provide per-seat pricing below solo rates when purchased as a firm-wide license. This shift has made the small firm AI market meaningfully more accessible than it was even two years ago.
The selection challenge at the small firm level is also different from solo practice. With multiple attorneys who have varying technical comfort levels, varying practice areas, and varying current workflow habits, the small firm AI decision requires change management in a way solo practice does not. A tool that works beautifully for one partner and sits unused by two associates has negative expected ROI once training costs are included.
The framework below is built around maximizing adoption depth rather than maximizing feature count.
Legal Research Platform (firm-wide): $350-500/month The anchor investment. At 5 attorneys, firm-wide pricing for Casetext, Westlaw Precision, or vLex is significantly more cost-effective than individual subscriptions. Negotiate for a firm-wide license that covers all attorneys plus two paralegal seats.
At $400/month firm-wide ($80/attorney/month), versus individual solo subscriptions at $75-80/attorney/month, the cost difference is modest — but the firm-wide license typically includes administrative features, usage reporting, and better support terms.
Practice Management with AI (firm-wide): $250-400/month For 5 attorneys, platforms like Clio, MyCase, or Filevine run approximately $50-80/user/month at small firm pricing. Prioritize platforms with integrated AI intake, billing, and document management to avoid standalone subscriptions in those categories.
Document Drafting / Contract AI: $150-250/month If your practice has significant transactional or drafting volume, a dedicated drafting AI is worth the investment. Spellbook for contract drafting, DraftWise for transactional practices, or Harvey AI at small firm pricing if you need combined research and drafting.
Client Intake Automation: included in PM or $75-100/month standalone For most small firms, intake automation should be included in the practice management platform rather than purchased separately. If your PM platform lacks robust AI intake features, services like intake chatbots run $75-100/month and typically pay for themselves within 10 new client engagements.
eDiscovery (per-matter): Variable Do not subscribe to an enterprise eDiscovery platform if you handle fewer than 10 discovery matters per year. Per-matter pricing from Logikcull at approximately $250/matter for small document sets, or Everlaw for larger matters, is almost always more cost-effective. Budget $200-500/month as a blended average if discovery is a regular part of your practice.
Total at 5 attorneys: $825-1,250/month with per-matter eDiscovery included in the higher range.
For a 2-attorney firm: reduce research and PM costs proportionally. Total target: $400-600/month.
For a 10-attorney firm: firm-wide licensing becomes more favorable. Research platform at $600-800/month covers all seats. Total target: $1,500-2,500/month.
For a 20-attorney firm: you are approaching mid-market pricing. Enterprise contracts become available. Total target: $3,000-5,000/month.
Many vendors offer per-seat and firm-wide pricing tiers. The decision point depends on actual utilization:
The firm-wide model also simplifies billing and eliminates the administrative overhead of managing individual subscriptions for each attorney.
Phase 1 (Month 1-3): Legal Research Deploy the research platform firm-wide first. This category has the fastest time-to-value, the clearest ROI measurement, and the most universal applicability across practice areas. Start here, measure time savings after 90 days, and use that data to build support for subsequent investments.
Phase 2 (Month 3-6): Practice Management Migrate to or optimize your AI-enabled practice management platform. This is the highest-friction deployment — it touches billing, client records, and daily workflows — so it benefits from being done after the team has some AI adoption experience from Phase 1.
Phase 3 (Month 6-12): Specialty Tools Add drafting tools, contract review AI, or specialty tools based on what practice areas have the highest remaining time inefficiency. Use the ROI data from Phases 1 and 2 to justify the budget.
Annual prepay: most vendors offer 10-20% discounts for annual payment versus monthly. At $800/month, that saves $960-1,920/year.
Multi-year contracts: 2-3 year contracts can yield 15-25% discounts but sacrifice flexibility. Appropriate for anchor platforms (research, PM) but not for newer tools still proving ROI.
Bar association discounts: many state bar associations negotiate discounts with legal AI vendors for member firms. Check with your state bar before subscribing to any major platform.
Bundle pricing: vendors with multiple products increasingly offer bundle pricing. Evaluate whether single-vendor bundles offer genuine savings or just consolidation without discount.
A 7-attorney general litigation firm in Texas phased its AI deployment over 12 months beginning in Q1 2025.
Phase 1 (Q1 2025): Deployed Casetext firm-wide at $490/month. After 90 days, measured average research time savings of 55 minutes/day per attorney. At the firm's average billing rate of $375/hour, the recovered capacity value was approximately $215,000/year. Q1 ROI was strongly positive.
Phase 2 (Q2 2025): Migrated to Filevine from legacy case management. Cost: $420/month for 7 attorneys plus staff. Integration took 6 weeks and required $4,500 in vendor professional services. By month 4 post-migration, billing time had decreased 40 minutes/week per attorney due to automated billing assistance.
Phase 3 (Q3-Q4 2025): Added Logikcull on a per-matter basis for two significant discovery matters. Per-matter cost averaged $380. Added DraftWise for the two most drafting-intensive partners at $120/month for two seats.
Year-end total: $1,030/month for full AI stack serving 7 attorneys. Year-one total cost including integration and training: $16,800. Year-one recovered capacity value: estimated $310,000. Net ROI after costs: approximately 18x.
Q: Our firm has attorneys with very different practice areas. Can one AI research platform serve litigation and transactional work equally well?
A: Leading platforms like Casetext and Westlaw Precision have strong coverage across practice areas. The gap is usually in depth of secondary sources for specialized areas. A firm spanning litigation and transactional work is well-served by a single firm-wide research platform.
Q: What is the typical timeline from tool deployment to measurable ROI for a small firm?
A: Research tools show measurable ROI within 60-90 days of full deployment. Practice management platforms take longer — 4-6 months — because the efficiency gains come from workflow changes that take time to adopt. Budget 6 months before assessing PM platform ROI.
Q: Should we implement one tool at a time or deploy multiple tools simultaneously?
A: Sequential deployment consistently produces better adoption outcomes. Deploying multiple tools simultaneously overwhelms attorneys with change, reduces adoption depth for each tool, and makes it impossible to attribute ROI to specific tools. Phase the rollout even if budget permits simultaneous deployment.
Q: Our managing partner is skeptical of legal AI. How do we build internal support for the investment?
A: Run a 60-day pilot with two or three willing early adopters, measure their time savings with before/after data from billing records, and present the results in financial terms — recovered capacity at their specific billing rates. Data from your own attorneys in your own practice is more persuasive than vendor case studies.
Q: How do we handle the training time cost when attorneys are billing targets?
A: Plan for 8-15 hours of training per attorney per platform and treat it as an investment cost in your ROI model. If attorneys are on billable hour targets, that training time should either be excused from targets for the relevant period or offset by demonstrating that adoption will help them exceed future targets.
Small firms benefit from matter-management platforms that bundle AI, and should audit billable-hour recovery rates quarterly to validate tool ROI.
A complete, well-configured AI stack for a 5-attorney firm is achievable at $800-1,000/month in 2026. The four-category framework — research, practice management, document drafting, and per-matter eDiscovery — covers the full workflow needs of most general practice firms at this scale.
Phased deployment beats simultaneous rollout on adoption and measurable ROI. Start with legal research, measure carefully, and use that data to build internal support for subsequent investments. Volume discounts — annual prepay, multi-year contracts, bar association pricing — can reduce total spend by 15-25% without capability tradeoffs.
The hidden costs of year-one deployment (training, integration, professional services) typically add $8,000-15,000 to the stated subscription cost. Building these into your ROI model from the start produces more realistic projections and avoids the credibility problem of missing your first-year numbers.
This article reflects independent editorial analysis. LawyerAI does not accept payment for editorial coverage. Tool scores are based on methodology described in Our 5-Dimension Methodology. Last reviewed: 2026-08-27.
