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See the 60-second demo →Every attorney who sees a live AI deposition analysis tool for the first time asks the same second question. The first question is "does it actually work?" The second is "what does it cost?"
I've spent the last six months benchmarking Courtroom AI against real depositions across nine medical specialties. We've run it through over 200 expert-witness depositions ranging from 45-minute ER doc testimony to 4-hour cardiothoracic surgeon marathons. Along the way I built a pretty precise model of what it actually costs to run AI on a deposition, and how that stacks up against the traditional alternatives plaintiff firms have been paying for decades.
This post is that breakdown. No marketing — just the unit economics.
A 3-hour expert-witness deposition costs roughly $5.85 in API costs to run through Courtroom AI end to end. That's the hard cost of Deepgram transcription plus Claude Haiku analysis across the four output lenses (medical accuracy, Daubert vulnerability, prior-testimony cross-check, cross-examination questions).
Six months ago the same analysis cost $44 for the same depo. We cut it 86% through segment batching, filler filtering, and model swap-downs to Haiku where Sonnet wasn't needed. That's the compute side.
On the customer side, Courtroom AI is sold at two tiers: Essentials ($99/month, 10 hours of deposition analysis included) and Pro ($299/month, 50 hours). The pilot code COURTROOM50 cuts the first three months 50%.
Now let's compare that to what plaintiff firms have been spending.
Before AI was in the picture, there were essentially three options for getting a deposition transcript reviewed and analyzed for use at trial or in motion practice. All three coexist in most med-mal and PI shops.
This is the gold standard in med-mal. A certified LNC reads the transcript, flags medical inaccuracies, cross-references against the chart, drafts a deposition summary, and produces impeachment material for trial prep.
Worth every penny when the LNC is good. But two problems: it happens after the deposition (not during), and it's a real budget line item on every case. A firm with 40 active med-mal cases and two depositions per case per year is looking at $160,000-$400,000 annually in LNC deposition review alone.
Certified transcripts are still the legal record of a deposition. Standard turnaround is 7-14 business days. When trial or a motion deadline is coming up fast, firms order rush.
Total for rush + summary: $1,700-$3,600. The paralegal summary is usually descriptive ("witness testified that...") rather than strategic. It's not impeachment material.
At some firms, a first- or second-year associate reads the transcript and prepares the memo. The logic: we're billing the client anyway, so the analysis is a sunk cost for the firm.
Even if the firm eats the cost rather than billing, the associate has now spent a week that could have been billed to something else. Opportunity cost: real.
Here's what an actual 3-hour Courtroom AI session burns through:
| Component | Volume | Cost |
|---|---|---|
| Deepgram Nova-2 Medical streaming | 180 minutes audio | $1.30 |
| Claude Haiku 4.5 — medical accuracy | ~120 batched segments | $1.08 |
| Claude Haiku 4.5 — Daubert vulnerability | ~120 batched segments | $1.14 |
| Claude Haiku 4.5 — cross-exam Qs | ~120 batched segments | $1.22 |
| Claude Haiku 4.5 — prior-testimony check | ~120 batched segments | $0.96 |
| Infrastructure (websocket, SQLite writes, S3 archive) | 3 hours compute | $0.15 |
| Total hard cost | $5.85 |
Key insight: the transcription is the cheapest line. The four analysis lenses running in parallel via Haiku are the real spend, and they're only at about $1 each because we switched from sending every transcript fragment individually to batching roughly 15-second chunks. That single change cut analysis cost by about 70% without any meaningful drop in output quality.
Let's put numbers on both sides of the ledger. Assume a plaintiff med-mal firm with 40 active cases, averaging 2 expert depositions per case per year. That's 80 deposition-analysis events annually.
| Approach | Cost per depo | Annual (80 depos) |
|---|---|---|
| LNC full review | $2,000-$5,000 | $160,000-$400,000 |
| Rush transcript + paralegal summary | $1,700-$3,600 | $136,000-$288,000 |
| Junior associate review (billed) | $2,500-$14,000 | $200,000-$1,120,000 |
| Courtroom AI Pro ($299/mo, 50 hrs) | ~$6 per depo | $3,588 + usage |
Even if you assume a firm replaces only half of its LNC depo-review workflow with Courtroom AI — keeping the LNC for chart cross-reference and report writing, but using AI for live analysis and initial cut — you're looking at $80,000-$200,000 annual savings on a tool that costs $3,600 at the top tier.
A deeper workup of the full-firm economics (intake, records review, chronology, deposition, trial prep) lives on our Courtroom AI ROI page, which models savings across the whole case lifecycle rather than just the deposition line.
A few honest caveats before the pricing numbers get read as a replacement claim.
The right framing is not "replace the LNC with the AI." It's "move the LNC's time from reading transcripts to doing higher-value expert analysis, because the first-pass read is now $6 instead of $4,000."
Courtroom AI is currently sold with bundled hours:
The 50-hour Pro bucket is sized for a firm running 15-17 depositions per month. Above that, overage is cheaper than adding a seat. Full pricing lives on our pricing page, which also breaks out the 21 other tools in the MedLegal AI suite.
The pilot code COURTROOM50 gives 50% off the first 3 months on either tier. It's capped at 10 redemptions to keep the pilot group small enough to onboard personally. Full details on the Courtroom AI product page, side-by-side feature matrix on the comparison page, or redeem COURTROOM50 directly.
Courtroom AI is not the right fit for every firm. If you do fewer than 6-8 expert depositions a year, the $99/month Essentials tier is more subscription than you'll use. You're better off on a pay-per-depo model, which we offer at $49 per depo up to 3 hours.
Similarly, if your practice is 100% defense-side and you're comfortable with the existing LNC + associate workflow, the marginal value of live analysis during the deposition is lower — the plaintiff attorney is the one taking the witness, and you're defending. Live Daubert flags matter less when you're not the one cross-examining.
Where the math crushes is plaintiff-side medical malpractice, birth injury, and nursing home neglect — cases where the expert-witness depositions are the backbone of the trial and where a single caught inconsistency can swing a verdict seven figures. In those matters the $6-per-depo cost is a rounding error next to the leverage.
For attorneys who want to understand the underlying evidentiary framework that AI-assisted Daubert flagging sits on top of, Cornell's Legal Information Institute maintains the canonical text of Federal Rule of Evidence 702. The tool's Daubert lens is trained against the four Daubert factors plus the 2023 amendments to Rule 702. That's the standard it checks every batched witness statement against.
The cost story on AI deposition analysis is not subtle. The API cost to run a 3-hour deposition through four parallel analytical lenses is about the price of a deli sandwich. The subscription pricing that sits on top of it is an order of magnitude below what firms already pay for LNC review and rush transcripts. And the output — live during the deposition, not two weeks after — creates impeachment opportunities that the old workflow physically cannot produce.
Whether that math works for your specific firm depends on case volume and practice area. But the days of paying $3,000 for a per-deposition workup because there was no alternative are functionally over.
COURTROOM50 at checkout = 50% off 3 months. 10 redemptions available. Essentials becomes $49.50/mo, Pro becomes $149.50/mo for the first three months.
Questions on the cost model? Email [email protected]. If you want to walk through the numbers against your firm's actual case volume, we'll build you a spreadsheet.