AI Legal Research Assistant Cost Calculator
A legal research assistant retrieves the most relevant passages from your case and statute library and asks a model to synthesise a grounded answer with citations. Cost splits between a one-time embedding of the corpus and the per-query generation.
A RAG assistant over 50K cases/statutes, answering 300 research queries a day.
Computed at today's verified prices (28 July 2026). Adjust the inputs below for your own numbers.
Tune it: RAG Cost Calculator
Results update automatically as you type.
- Total chunks
- 350,000
- Ingestion (one-time)
- $3.58
- Vector storage
- 2.40 GB
- Storage / month
- $0.6008
- Per query
- $0.0143
- Queries / month(300/day)
- $128.26
- Total / month
- $128.86
Why this number isn't obvious
The headline people fixate on is the per-query model cost, but for a large library the one-time embedding and ongoing vector storage matter too. Retrieval also means a mid-tier model usually suffices, because the retrieved passages — not the model's memory — carry the law.
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
Does RAG reduce hallucinated case law?+
It grounds answers in retrieved passages and enables citations, which reduces fabrication — but you must still verify every cite. Treat the assistant as a research accelerator, not an authority.
What drives the monthly cost most?+
Query volume and answer length. Embedding the corpus is a one-time cost; after that you mostly pay per query, so daily research volume is the lever to watch.
More Law Firms calculators
Estimates for planning, not a quote. Pricing data last reviewed 28 July 2026.