First-Pass Document Reviewer | Real Minds AI
AccountingDrafting

First-Pass Document Reviewer

Reads a contract, brief, or report and drafts a structured first-pass summary — key facts, obligations, deadlines, and risks, each cited to its clause — flagging anything not evidenced, for a professional to review and own.

How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

Document-heavy review is where skilled people spend hours reading and retyping instead of judging. Contracts, briefs, tax packs, and reports arrive as prose and PDFs, and the first pass — pulling out the parties, dates, obligations, and risks — is done by hand, line by line, before any real expertise is applied. At one Australian firm a single research task ran 4.5 hours before AI cut it to 35 minutes.

This pattern reads the document and drafts a structured first-pass review: key facts, obligations, deadlines, and risks, each cited to its clause or page, with anything not in the source marked "not evidenced" rather than inferred. Exceptions route to a person. It produces the draft; the professional reviews, corrects, and owns the final read — nothing is finalised on its own.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–4 weeks. Most of it is template work we've already done.

Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
Document-type templates, risk taxonomy, review-and-sign-off workflow.
stack · LLM + JSON schema · OCR/parser · review UI (Airtable/Power Platform)
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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