Law firms exploring AI for litigation have three options: buy an enterprise platform, build in-house, or hire a consultant on a per-engagement basis. Each has clear trade-offs in cost, capability, and fit.
Option 1: Enterprise AI Platform
Harvey, CoCounsel, and Relativity are the established players. They serve different niches but share a common pricing model: annual subscriptions starting at $30,000+ with per-seat or per-user fees on top.
These platforms excel at their specialties. Harvey for contract analysis and legal research. CoCounsel for research and document review built on Westlaw data. Relativity for large-scale eDiscovery processing.
The gaps: none of them ingest WhatsApp exports alongside emails for cross-channel contradiction detection. None are scoped around a single matter under instruction of counsel. For a mid-market firm handling 3 to 5 commercial disputes per year, the annual subscription cost may exceed the value delivered.
Option 2: Build In-House
Some firms consider building their own AI capability. The appeal is obvious: full control, no per-seat fees, competitive differentiation.
The reality is harder. You need AI engineering talent ($200K+ annually), compute infrastructure, data security protocols, ongoing maintenance, and 6 to 12 months before a production system is ready. Total first-year investment: $300,000 to $500,000+ before the system handles a single case.
This path makes sense for large firms handling 50+ disputes annually. For everyone else, the build cost exceeds the buy cost by a wide margin.
Write to info@coldstorm.org to discuss a specific matter.
Option 3: Per-Engagement Consultant
A per-engagement consultant provides the analytical capability without the platform commitment or build investment. You instruct the consultant for a specific dispute, receive the analysis, and the engagement concludes when the work is delivered.
Retainers are scoped to the matter — the evidence base, jurisdictional complexity, and the standard of deliverable required. There is no public price list and no per-seat fee. Scope and terms are confirmed during a confidential intake call.
The trade-off is dependency. You do not own the system. You re-instruct on each new matter. For firms handling a small number of high-value disputes, this is often the right economic choice.
Cost Comparison
| Option | Year 1 Cost | Per-Dispute Cost | Time to Value |
|---|---|---|---|
| Enterprise platform | $30,000 to $100,000+ | Included (with limitations) | 2 to 4 weeks setup |
| Build in-house | $300,000 to $500,000+ | Marginal after build | 6 to 12 months |
| Per-engagement consultant | Scoped per matter | Scoped per matter | Days |
What to Look for in a Consultant
Multi-channel capability: can they ingest WhatsApp, email, contracts, and call transcripts in a single analysis? Source citations: is every finding traceable to primary evidence? Deployment security: where does your data go, and how is it protected? Track record: have they worked on real disputes, or is this a demo?