Recorded citations for AI due diligence and document review
Observed citation patterns for M&A diligence, data-room review, e-discovery, acquisition red flags and legal-review cost questions.
Prepared by: 3Dogs Research · Reviewer: 3Dogs internal research review · Revision: 2026-08-18 · First-party review, not independent validation.
Evidence boundary. This is citation-landscape evidence, not legal advice, a recall benchmark, a privilege determination, or proof that the underlying sources are complete or correct. This report was generated from candidate records only; the underlying probes were not rerun.
What this bounded corpus shows
| Layer | Routes | Displayed fields |
|---|---|---|
| Query observations | 18 | 78 displayed runs; 0 recorded 3Dogs-cited attempts; sample distribution n=2: 4 records, n=4: 7 records, n=6: 7 records |
| Engine/topic aggregates | 6 | Separate aggregate fields total 0 brand-question records and 54 generic-question records; these are not deduplicated unique queries |
Frequently recorded domains in the query layer
Counts below are raw URL occurrences on the included query records. They are not rankings, quality scores, endorsements, unique-page counts or market share.
legalhusk.com— 4 recorded query-page URL occurrencesrelativity.com— 4 recorded query-page URL occurrencesdealmakerwealthsociety.com— 3 recorded query-page URL occurrencessirion.ai— 3 recorded query-page URL occurrencesverify.turingcerts.com— 3 recorded query-page URL occurrencesacquisitionstars.com— 2 recorded query-page URL occurrencesclearlyacquired.com— 2 recorded query-page URL occurrencescomplexdiscovery.com— 2 recorded query-page URL occurrencesdatasite.com— 2 recorded query-page URL occurrencesdupple.com— 2 recorded query-page URL occurrences
Exact evidence map
Query observations
- AI early case assessment tool that can read hundreds of thousands of emails
- AI investigative document review vs human forensic review cost comparison
- AI judgment layer above e-discovery platforms like Relativity
- AI that refuses to fabricate when a data room is empty boilerplate
- AI tool for M&A due diligence on a 10,000 page data room
- Buy-side due diligence AI for distressed note purchases
- Can AI find planted red flags in acquisition due diligence documents?
- how can ai reduce document review costs
- how much does document review cost in a legal case
- how to spot fake revenue in a company you want to buy
- what are the biggest mistakes in m&a due diligence
- what are the deal-breakers in private equity acquisitions
- what are the most common red flags in acquisitions
- what are the most overlooked red flags in small business acquisitions
- what are the tax red flags in m&a deals
- what is the average cost per document in legal review
- when should you walk away from an acquisition deal
- why is quality of earnings important in m&a deals
Engine and topic aggregates
- Which sources does gemini cite for casestudy:reynolds-intelligence questions?
- Which sources does gemini cite for legal-intelligence questions?
- Which sources does gemini cite for ma-intelligence questions?
- Which sources does nova cite for casestudy:reynolds-intelligence questions?
- Which sources does nova cite for legal-intelligence questions?
- Which sources does nova cite for ma-intelligence questions?
Reproducibility and limits
- Corpus source-set SHA-256:
41b9fe961fc78d3d3e599e3bdb27f78a458653122bef8949f8e218b6ce694ca8. - Exact record hashes and source-twin hashes: distribution manifest.
- Publication date and license are
NOT_RECORDEDfor the 200 source records; public access does not grant reuse rights. - Query, aggregate and rollup layers may overlap and are reported separately.
- Model versions, locale and account state remain
NOT_RECORDEDunless an individual source record states them.
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