An AI contract redlining agent can read an incoming contract and match each clause to your playbook position, such as acceptable, negotiable or unacceptable, and mark where the draft differs.
Takes the counterparty's draft or markup.
Checks it against your approved text and positions.
Marks each change as minor, acceptable or off-position.
Proposes accept, reject or counter wording for each.
Legal accepts, edits or rejects each proposed response.
Legal sends the redline back to the counterparty.
For each deviation it can propose a replacement from your approved fallback language and explain the reason in a short comment.
It can also compare two versions of the same contract and summarise what changed between rounds, so the reviewer does not have to read the whole document again.
Reviewing a long counterparty draft line by line is slow, and edits slipped into later versions are easy to miss.
Wording shifts between versions without being tracked.
Different reviewers accept different language for the same clause.
A large number of routine contracts waits behind complex ones.
Comments explaining why a change was made rarely survive past the email thread.
Parse the document structure and identify each clause by type.
Compare each clause with your acceptable, fallback and unacceptable positions.
Highlight differences and label how serious each one is under your playbook.
Propose approved fallback wording with a short explanation.
Summarise changes between versions so nothing slips through.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Spotting changes | Reviewers read the full document to find edits. | Every change is located and listed against the reference. |
| Silent edits | Unmarked changes slip past tracked-change views. | Text differences are found whether or not they were tracked. |
| Positions | Responses depend on who is reviewing. | Responses follow the approved positions and fallbacks. |
| Speed | Each round needs a fresh read-through. | Each round starts with a list of what changed since last time. |
| History | Why a clause was accepted is forgotten. | Decisions and reasons are kept with each round. |
| If | Then | Who decides |
|---|---|---|
| A change matches approved fallback wording | Propose accepting it, citing the fallback | Lawyer confirms |
| A change sits outside any approved position | Mark it off-position and draft a counter | Lawyer decides |
| Text changed without a tracked edit | Flag it as an untracked change | Lawyer |
| A change is purely wording with no effect on meaning | Mark it minor for quick review | Lawyer |
| A clause was deleted | Highlight the deletion and its likely effect | Lawyer |
| A change touches liability or data terms | Route to the senior reviewer | Legal lead |
Moved clauses can look like deletions and additions. The agent tries to match moved text and shows doubtful matches for the lawyer to check.
Two approved positions may overlap. The agent shows both and the lawyer chooses which applies to this deal.
Some drafts arrive as images or PDFs. The agent reads them with lower confidence and flags the sections it could not read well.
Business may have agreed a term that differs from the playbook. The lawyer records the deviation so the agent does not flag it again.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Choose a common contract with a clear playbook.
Run beside lawyers and compare the agent's list with theirs.
Add missing positions and settle conflicts.
Use it on live negotiations while lawyers approve every response.
It shows how quickly negotiation closes. Low rates in particular clauses point to positions that meet repeated resistance and may need rethinking.
Quick answers to what people ask most about contract redlining.
Book a demoIt is the practice of marking changes to a contract, showing what is added, removed or altered against another version or a preferred position. It makes negotiation visible and reviewable.
No. It can compare, mark and suggest. Lawyers and commercial leads negotiate and decide what to send.
A clear playbook with acceptable and fallback positions for each clause type. Without it, the agent has nothing consistent to compare against.
It works best on readable text. Poor scans can reduce accuracy, so the reviewer should check anything the agent marks as uncertain.
Contract drafting is preparing the first written version of an agreement from agreed commercial terms and approved legal language.
→An AI agent for contract renewal is software that tracks contract end dates and notice periods, alerts owners ahead of deadlines, and prepares the information needed to decide whether to renew, change or cancel.
→An AI contract obligation agent is software that extracts what each party has agreed to do from a contract, such as deliverables, deadlines, usage commitments and pricing, and tracks whether it is being met.
→An AI contract intelligence agent is software that reads contracts to extract key terms, summarise them, compare versions and flag clauses that depart from your playbook.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
