AI E-Discovery Document Classification Cost Calculator
E-discovery means triaging huge document sets for relevance and privilege. Each document is a short classification call, but a review set runs to hundreds of thousands or millions of documents, so tiny per-call costs compound fast.
Classifying 50,000 documents a day (~2.5K tokens each) into responsive/privileged buckets.
Computed at today's verified prices (28 July 2026). Adjust the inputs below for your own numbers.
Tune it: LLM API Cost Calculator
Results update automatically as you type.
- Input cost
- $0.000375
- Output cost
- $0.0000720
- Per request
- $0.000447
- Per day
- $22.35
- Per month
- $670.50
Why this number isn't obvious
This is the opposite of contract review: outputs are tiny (a label), so the flagship model rarely earns its premium. At this volume the cheapest competent model wins decisively, and a 5x price difference per call becomes a five-figure difference on a single matter.
For cost estimation only — not legal advice. Confirm client-confidentiality and privilege obligations before sending matter data to any third-party model.
Frequently asked questions
Is a budget model safe for privilege screening?+
Use AI as a first-pass filter that a human confirms, never as the final privilege call. A cheaper model is fine for triage; keep attorney review on anything flagged sensitive.
Why does per-call price matter so much here?+
Because you make one call per document and a review set can be millions of documents. A fraction of a cent per call multiplied by millions is the whole budget.
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Estimates for planning, not a quote. Pricing data last reviewed 28 July 2026.