Source-linked document question and extraction console

Reduce time spent locating and verifying document answers while keeping a source-linked record. For legal teams and administrators who answer questions and extract information from PDF documents, convert permitted PDFs, office files and text into reviewer-approved answers and extracted fields linked to their source passages. The benefit is a testable hypothesis, measured through accepted answers per reviewer hour and corrections after approval; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted PDFs, office files and text, then follow this sequence: 1. Accept PDF, Word, Excel, CSV and text uploads. 2. Index documents for search and retrieval. 3. Answer natural-language questions from document content. 4. Attach source citations with page and section references. 5. Redact confidential and personal information. Resolve uncertain cases with qualified reviewers, approve reviewer-approved answers and extracted fields linked to source passages, and measure accepted answers per reviewer hour and corrections after approval against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate answers and extracted fields for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final legal interpretation and redaction decisions remain with qualified reviewers. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, quotation accuracy and usage permissions. Qualified reviewers approve substantive answers, redactions and filing scope. One document language and one approved file set; final legal interpretation and redaction decisions remain with qualified reviewers. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One document language and one approved file set; final legal interpretation and redaction decisions remain with qualified reviewers. Implement one approved input format, a bounded representative case set and the first three task modules: accept PDF, Word, Excel, CSV and text uploads; index documents for search and retrieval; answer natural-language questions from document content. Support citation and redaction with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned document stores, authorized case files and permitted research sources. Cloud document storage, office-file import/export and case management destinations. Start with file exchange and validate destination specifications before promising direct filing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Document intake and library, Source-linked question console, Extraction and review queue, Administrator console. Use a document list with processing states, a central chat and answer panel, and a right-hand panel showing cited passages, page numbers and confidence. Let users compare answers side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant passage. Make the task-specific outcome reviewer-approved answers and extracted fields linked to source passages visible beside its evidence, review state and value baseline.