Document Review

Ask one question across every document — and get a grounded, cited answer for each, side by side.

Reviewing a data room, a stack of NDAs or a portfolio of leases means asking the same questions of each one. Document Review turns that manual grind into a single table you can run, read and trust — every answer grounded in a verbatim quote, verified against the source.

GroundedVerifiedExportable
Document Review — illustrative
Document
Governing law?
Liability cap?
Change of control?
NDA — Counterparty A
England & Wales
£1m
Consent required
MSA — Vendor 02
New York
Uncapped
Silent
Lease — Unit 14
Scotland
12 months' rent
Landlord consent
VerifiedQuote driftNot found
Governing law? · NDA — Counterparty AVerified
“This Agreement is governed by the laws of England and Wales.”
Open in document
The problem

The same questions, asked of every document.

Reviewing a set of documents means asking the same questions of each one and writing the answers into a grid — hours of opening files, Ctrl-F, copy-paste into a spreadsheet, and re-checking. Generic AI chat can summarise a single document, but it doesn't give you a comparable, structured, verifiable view across the whole set — and it can't show you where each answer came from.

The manual grind

What it costs you today

  • Hours of opening files and Ctrl-F across the set
  • Answers copied by hand into a spreadsheet, then re-checked
  • No structured, comparable view across the whole matter
  • No record of where any answer actually came from

How it works

From a folder to answers, in three steps.

Run it once and the grid fills in. Every answer is one click from the exact sentence it came from.

Step 01

Bring your documents

Pick a project or matter, select specific existing files, or upload new ones — PDFs, Word, Excel, images or text. Each one becomes a row.

Step 02

Add your questions as columns

Start from a playbook, one-click a common column, or write your own with an AI-suggested prompt. Choose an answer format per column so it stays comparable.

Step 03

Run the extraction

Every document × column is answered in parallel, grounded and cited. Watch the grid fill in, review the citations, and export.

Why it's different · the governance wedge

An answer you can defend.

Generic legal AI gives you an answer. LegalAI Space gives you an answer you can defend — every cell traceable, every quote checked.

Verified, verbatim citations on every cell

Each answer carries the exact quote it's based on, and we check that the quote actually appears in the source. A colour-coded verdict tells you at a glance: green for verified, amber for quote drift, red for not found.

Open in the document, on the exact line

Click any citation and the source opens with the quoted passage scrolled to and highlighted. No more “trust me”.

An audit trail, not just an answer

Verifications are recorded as governance evidence — so when someone asks “how do you know?”, you can show them.

Export carries the proof

The Excel export includes a dedicated Authorities sheet listing every citation, its page and its verdict — review evidence you can file or hand to a partner or client.

Document Review — illustrative
Document
Governing law?
Liability cap?
Change of control?
NDA — Counterparty A
England & Wales
£1m
Consent required
MSA — Vendor 02
New York
Uncapped
Silent
Lease — Unit 14
Scotland
12 months' rent
Landlord consent
VerifiedQuote driftNot found
Governing law? · NDA — Counterparty AVerified
“This Agreement is governed by the laws of England and Wales.”
Open in document

Capabilities

Everything Document Review gives you.

A spreadsheet-style workspace where rows are your documents, columns are your questions, and every cell is a grounded, verified answer.

Bring documents three ways

Select a project or matter and every document becomes a row, hand-pick specific files, or drag in PDFs, Word, Excel, images or text — stored, converted and added automatically.

Playbooks to start from

Begin from a standard checklist instead of a blank grid: NDA / Confidentiality, Commercial / MSA, M&A Due Diligence, Lease Abstraction, or Employment Agreement.

Common columns, one click

Ready-made, format-aware questions: governing law, parties, term, termination rights, notice period, liability cap, indemnities, change of control, auto-renewal and more.

Answer formats that stay comparable

Tell each column how to answer — text, yes/no, date, number, percentage, monetary, currency, tag or bulleted list — so the column reads cleanly down the page.

A real data workspace

A full-screen grid with a frozen document column and header, resizable and reorderable columns, per-cell regenerate, and a docked source panel so you read the evidence without losing your place.

Export with the proof

One click to Excel — a clean Review grid plus a dedicated Authorities evidence sheet of every citation, its page and its verdict — or CSV.

Why us

Manual review, generic chat, and Document Review.

Manual review
Generic AI chat
LegalAI Space Document Review
Structured, comparable output
Hand-built spreadsheet
Prose answers
Typed columns, one grid
Works across many documents at once
One at a time
One at a time
Run the whole set
Citations
Manual
Often unverified
Verbatim + verified verdicts
Jump to the source line
Manual
Not supported
One click, highlighted
Defensible audit trail
None
None
Evidence + Authorities export
Starter playbooks
None
None
NDA, MSA, M&A, Lease, Employment

In practice

One grid, every practice area.

Pick the question set that matches the matter — Document Review runs it across the whole document set and keeps the cited evidence.

Corporate / M&A

Red-flag a data room. One grid across every contract: change-of-control, assignment, material obligations, termination triggers, open issues.

Commercial / Contracts

Abstract key terms across an MSA portfolio — liability caps, indemnities, payment terms, renewal — into a comparison table.

Real Estate

Lease abstraction at scale — premises, term dates, rent, escalations, options, break clauses — pulled into one comparable grid.

Employment

Compare offer and employment agreements — compensation, restrictive covenants, notice, severance — across a cohort.

Compliance / In-house

Run a standard question set across incoming third-party paper and keep the cited evidence for the file.

Questions

Document Review, answered

How verification, governance, and the agents work inside an SRA-regulated firm.

Still have questions? Talk to the founder
PDFs, Word, Excel, images and text — pick them from a project or matter, select existing files, or upload new ones.

Run once. Read the whole matter.

Get early access and run Document Review on your own documents — or book a call to scope it with the founder.

Important notices
  1. 01

    LegalAI Space is a technology platform. We are not a law firm and do not provide legal advice. Document Review assists with reviewing documents but does not replace qualified legal counsel or professional judgement.

  2. 02

    Verification verdicts indicate whether a cited quote was located in the source document. They are an automated check, not a legal opinion on the underlying answer.

  3. 03

    Capabilities described on this page reflect current functionality and may evolve. Illustrative product visuals do not depict real client documents.