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Redline grade

What this page is — the capability that grades a counterparty's proposed change against your own clause-library playbook, and tells you whether you are already authorised to accept it.

What it is for — so "can I just say yes to this?" is answered by your organisation's pre-approved fallback positions rather than by a reviewer's judgement on the day.

The problem it solves — reviewers either escalate every change or accept ones outside what the organisation allows, depending on who is reviewing that day.

Route: /org/papers/documents/<document>/ai → Negotiate → Redline grade · Permission: Use AI drafting/extraction/Q&A for documents. · Utility: papers_redline_analyzer · Cost: 450 credits estimated, 1,800 maximum.


1. What it is​

Your clause library holds, for a given clause, an approved standard position and an ordered list of fallback positions — the concessions your organisation has pre-authorised, from the smallest give at index 0 to progressively larger ones.

Redline grade decides three things about the counterparty's proposal:

  1. Is it materially equivalent to your standard, or to one of those fallbacks — that is, the same or better for you?
  2. If not, how far beyond your most permissive fallback does it reach?
  3. What is the concrete counter to send back?

It reasons about the wording, not about labels: a proposal that reaches your fallback #1 position through completely different drafting still matches fallback #1.

It grades. It does not decide.

Nothing is accepted or rejected on your behalf. within_playbook: true means a human is pre-authorised to say yes, not that anyone has.

Compares againstAnswers
Redline gradeYour clause library's standard and fallbacks"Am I authorised to accept this?"
Shadow redlineYour current text"What did they slip into this round?"
Version diffThe prior version"What changed?"
Compromise draft—"What third position could close this?"
It is one of three capabilities that will not run on a bare press

Redline grade must be told which redline to grade. Its executor refuses without a suggestion_id or suggestion_text, so the interface asks first rather than offering a Run button that would return "provide suggestion_id or suggestion_text in input" on every press.


2. Why you would use it​

Every organisation with a playbook has the same problem: the playbook is a document, and the person reviewing the redline at 5pm on a Friday has not read it recently.

  • It turns a policy document into a decision. The fallbacks exist precisely so that concessions do not need escalating. Without something checking against them, they get escalated anyway.
  • It removes the escalation that was never needed. within_playbook: true on a change your reviewer was about to send to legal is an afternoon saved, repeatedly.
  • matched_fallback_index tells you what it costs. Knowing the proposal lands on fallback #2 and not #0 is the difference between a free yes and a considered one.
  • suggested_counter is your next message. When it is out of playbook, you get the nearest authorised fallback to offer instead — so a rejection comes with a proposal.
  • It makes the playbook falsifiable. A clause whose every incoming proposal grades out-of-playbook is telling you your standard is out of step with the market.

3. What you provide​

The counterparty's proposed change — required, by one of two routes.

RouteYou give itUse when
Pick an existing redlineA suggestion or redline comment already on the documentThe change came through the platform. Prefer this
Paste the proposed textThe wording yourself, optionally naming the block it targetsThe change arrived by email or on a call
Prefer the existing-suggestion route — it is a materially better answer

Picking an existing suggestion also carries the comment's block reference, which is what resolves the targeted block to its library clause and its fallback positions.

Graded from pasted text alone there is no block reference, so the model is told "no library standard for this block" and grades against general market practice instead. You still get a grade. You do not get your playbook applied to it — which is the entire point of the capability.


4. What it reads automatically​

This capability reads more of your configuration than any other in the module.

ReadFromUsed for
Document textThe documentSurrounding context
Title & family — e.g. "MSA"The documentFraming
PartiesThe documentWhose exposure moves
Target clause bodyYour clause libraryYour approved standard position for that clause
Clause risk levelYour clause libraryThe library's risk rating for it
Fallback positionsYour clause libraryYour ordered, pre-authorised concessions

The bottom three rows are what it grades against. Without them there is no playbook to be inside of.


5. What you get back​

FieldTypeValuesMeans
within_playbookboolean—true only when the proposal is materially equivalent to your standard or a fallback — same or better for you
matched_fallback_indexnumber0-based, or -1The fallback it best corresponds to. -1 means either no match at all, or a match to your standard position
deviation_severityenumhigh, medium, low, noneHow far beyond your most permissive authorised fallback it goes. none = within playbook
rationalestring—Why, citing the concrete differences between the proposal and your standard or fallback wording
suggested_counterstring—The nearest authorised fallback when one is close; otherwise a redline pulling the proposal back inside the playbook
matched_fallback_index: -1 is ambiguous on its own

It means no fallback matched — which happens both when the proposal is out of playbook and when it simply matches your standard position, needing no fallback at all. Those are opposite outcomes.

Read it with within_playbook: true with -1 is the best possible result (they accepted your standard); false with -1 is the worst (nothing authorised covers this).


6. Worked example​

The counterparty comments on the liability clause of an MSA, proposing a cap.

Input: the existing counterparty suggestion on the Liability clause is selected.

Result:

within_playbook: false matched_fallback_index: -1 deviation_severity: high suggested_counter: "Offer fallback 0: cap at 12 months' fees but carve out confidentiality and IP breaches."

How to read it. within_playbook: false with -1 is the bad combination from §5 — nothing in the library authorises this. high says it reaches well beyond even the most permissive fallback.

What the reviewer does. They do not escalate, because suggested_counter already contains the answer: offer fallback 0, which is pre-authorised. The reply goes back the same afternoon proposing a 12-month cap with confidentiality and IP carved out — a position legal approved months ago.

Had the same proposal come back within_playbook: true with matched_fallback_index: 2, the reviewer could have accepted it outright, while knowing it consumed the second of three authorised concessions on that clause.


7. Running it​

  1. Open the document in Orbit Papers and go to the clause under negotiation.
  2. Open the AI Assistant drawer, or go to the document's AI workspace.
  3. Choose Redline grade under Negotiate.
  4. Give it the change — pick an existing suggestion or redline comment (preferred), or paste the proposed text.
  5. The grade and suggested counter appear in a result tab and are saved to the document.

Grade each substantive incoming redline before responding. Nothing is accepted; the decision to concede stays with you.

Available for auto-run from the type's AI Config tab on the on_round event, where it is fed the newest open redline automatically — on a round event that is precisely the change the counterparty just sent back. See AI configuration.


8. The admin contract​

Must be trueWhereWhat happens if it is not
Your role holds Use AI drafting/extraction/Q&A for documents.Role editorThe AI Assistant button does not appear
The papers_redline_analyzer utility is activeOrbit AI Flow → utilities"This utility is currently disabled"
The utility is enabled for your organisation/org/ai-utilitiesAbsent from Negotiate, with no error
papers.ai_monthly_credit_cap not yet reachedSystem Config"monthly AI credit cap reached: n of n credits used this month"
The clause has an approved standard bodyClause libraryThere is no baseline, and it grades against general market practice
The clause has ordered fallback positionsClause libraryEvery concession reads as out-of-playbook — the single most common cause of a wrong grade
Redlines arrive as suggestions on the documentRedlines and roundsOnly the weaker pasted-text path is available (§3)
A grade is only as good as your playbook

If a clause has no fallbacks defined, every concession grades as a deviation, and the capability becomes a machine for rejecting things you would happily have accepted. Keep each target clause's standard body and its ordered fallbacks current — they are the specification this measures against.

Confidential documents: automatic runs are blocked, manual runs are not

For a confidential document, auto-run is default-denied — a platform administrator must set papers.ai_confidential_cloud to the literal allow, and the block appears only in the server log. A manual press still works, and where a local model key is configured the run is forced on-prem and audited on the timeline as ai_local_routed.


9. Don't confuse this with…​

Clause libraryWhere the standard and fallbacks are defined. This measures against them
Shadow redlineSweeps a whole round for hidden liabilities. This grades one named change
Compromise draftInvents a bridging position. This checks against positions you already approved
Version diffReports every meaningful change. This judges one

10. Troubleshooting​

SymptomCause
"provide suggestion_id or suggestion_text in input"It was run without being told which redline to grade (§1)
Everything grades out-of-playbookThe clause has no fallback positions defined in the library (§8)
matched_fallback_index: -1 but within_playbook: trueIt matched your standard position, needing no fallback. The best outcome (§5)
The grade ignores our playbook entirelyIt was run from pasted text, so there is no block reference to resolve the library clause (§3)
The grade seems generousCheck which fallback matched — a match to your weakest authorised position is still "within playbook"
A clause we changed last month grades oddlyThe library holds the old standard. Update the clause body, not the grade
The capability is missing from NegotiateRole lacks Use AI drafting/extraction/Q&A for documents., or the utility is off for the organisation (§8). The document type does not gate it — AI Config controls auto-run only