Solution · document-heavy decisions

Read the room. Find what changes the decision. Show where it came from.

Deep Discovery is a sales-led, scoped Nexus and Enterprise workflow designed to organize a large private corpus, retrieve decision-relevant evidence, reason across the selected material, and subject findings to adversarial review before a human relies on them. Capacity, coverage, extraction quality and deliverables require a validated signed scope.

The buyer problem

Search is not the same as judgment.

A data room may contain thousands of individually plausible documents and only a handful of facts that reverse the economics, expose a control failure or invalidate a thesis. Keyword search finds mentions. Due diligence must explain why a fact matters, connect it to the decision and show the path back to source evidence.

Cull

Remove duplicates and obviously irrelevant material without pretending the discarded set was deeply reasoned over.

Retrieve

Find evidence against explicit diligence questions, criteria and risk hypotheses—not a generic summary request.

Challenge

Assign distinct analytic seats to attack findings, search for counterevidence and preserve unresolved disagreements. Cross-provider composition does not establish statistical independence.

Early case assessment and e-discovery boundary

Know which layer the workflow can support—and which authority stays elsewhere.

Document-review responsibility boundary
Layer3Dogs public positionRequired control
Collection and preservationNot claimed as a public 3Dogs capabilityUse approved collection, legal-hold and chain-of-custody systems
Processing, OCR and deduplicationMay be part of a validated Enterprise scope; no universal coverage claimRecord source set, transformations, exclusions, errors and versioned manifest
Search and retrievalDesigned to retrieve evidence against explicit questions and hypothesesPreserve queries, citations, missing evidence and retrieval limits
Judgment layerDesigned to connect retrieved facts to a business decision and challenge findingsKeep the run record, alternatives, dissent and what would change the conclusion
Privilege determinationNot claimedQualified counsel controls privilege review and waiver decisions
Legal opinionNot claimed; Deep Discovery is decision supportQualified counsel remains responsible
Source traceabilityRequired for a finding to be reviewableRetain document and passage references plus transformation provenance
Human reviewRequired before relianceNamed qualified reviewer accepts, rejects or remands findings

No public page claims corpus completeness, recall, cost savings, privilege accuracy or legal-grade output. The due-diligence citation analysis reports recorded sources for these queries; it does not validate the underlying answers.

Published evidence

Demonstrations are labeled; they are not customer claims.

Reported synthetic demonstration

Approximately 10,000-page M&A room

The published Reynolds record reports that eight planted risks were found. The corpus, answer key, manifest and scoring script are not public, so an independent rerun is not currently possible. This is not a production customer outcome.

Review the case and limitations →
Historical public corpus

Enron public-corpus reconstruction

3Dogs reports 45,320 deduplicated messages processed and 981 documents fully read. Transformation, coverage and blind-review protocol are not independently reproducible. The record does not establish predictive certainty or the same result on another corpus.

Review the case and limitations →
Enterprise delivery

Scope follows the data boundary and the decision.

Document-room work is negotiated because corpus size, source systems, decision questions, security review, retention, model routing and deployment constraints materially change the engagement.

Review the current Trust Center, Privacy Policy, Security page and signed terms before sending private data.

Limits

Evidence assistance does not transfer professional responsibility.

Deep Discovery does not replace counsel, auditors, accountants, investigators, investment committees or statutory decision-makers. Model output can omit, misread or overstate evidence. Findings must retain citations and be reviewed by qualified humans in the context of the transaction.