AI agentContracts

AI contract version comparison agent

An AI contract version comparison agent compares two or more versions of one contract and lists each change, including changes made outside tracked edits.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Latest draft
Previous version
Negotiation requests log
AI contract version comparison agentPrepared for review
  • ✓Change list against prior version
  • ✓Outstanding requests list
  • ✓Version history entry
Handed toNegotiator gets unexpected changes
3inputs it reads
6steps in the walkthrough
1point where a person decides
3outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Receive new draftRecord
  2. 2Find prior versionAgent
  3. 3Detect changesAgent
  4. 4Classify changesAgent
  5. 5Negotiator decidesPerson
  6. 6Log versionRecord

The counterparty returns a revised version.

The agent matches it to the last version on record.

Added, deleted and moved text is identified, including silent edits.

Each change is tied to a request made earlier.

The negotiator accepts or rejects each unexpected change.

The version history records what changed and why.

The basics

What is an AI contract version comparison agent?

It explains the practical effect of each change, so a reviewer sees the shift in obligation, risk or cost, not just the changed words.

Read the full explanation

It separates formatting and renumbering from substantive edits, and flags changes nobody mentioned in the covering email.

Where it breaks

Why this step is hard by hand

Counterparties return drafts with tracked changes switched off, or with edits the cover note does not mention. A plain text diff also drowns the reader in noise.

A returned draft may include changes that were never marked.

The summary from the other side lists some edits and not all.

Renumbering and formatting hide the changes that matter.

'May' to 'shall' or 'and' to 'or' alters an obligation.

Nobody can say which side introduced which change.

The path

How the agent does it

  1. 01Line up the versions

    Order the drafts by date and confirm which is the base for the comparison.

  2. 02Detect changes

    Find added, deleted and moved text, including edits made without tracking.

  3. 03Filter the noise

    Set aside renumbering, formatting and defined-term capitalisation changes.

  4. 04Explain the effect

    State in plain words what each substantive change does to obligation, cost or risk.

  5. 05Reconcile with the cover note

    List changes that were not mentioned by the sender so the reviewer can ask.

Want to see this flow on your own items?

Bring a small sample and watch Flo work through it.

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Under the hood

Inside the work

AspectBy handWith the agent
Silent editsChanges outside the redline go unseen.Every difference from the prior version is detected, tracked or not.
Matching asksReviewers check by hand whether requests were honoured.Each change is matched to the earlier request that prompted it.
Version chaosFiles are named final, final2 and latest.Versions are ordered with dates and sources.
Time per roundEach round takes a fresh full read.Only the delta is read, with unchanged text confirmed.
HistoryWhy a clause changed is lost.The decision trail stays with the version.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Legal decides on each changePeople accept, reject or counter.
  • ✓
    The negotiator sets the relationship toneA person decides what to raise and how.
  • ✓
    A person raises the untracked editsThe agent flags them, but the conversation with the supplier is human.
  • ✓
    Final version control stays with peopleThey confirm which draft is the one to sign.

Mistakes to avoid

  • ×
    Trusting the cover noteIt reflects what the sender chose to mention.
  • ×
    Reading only tracked changesEdits made with tracking off do not appear.
  • ×
    Comparing against the wrong baseA diff against an old draft shows changes already agreed.
  • ×
    Losing the historyWithout a record of who changed what, issues get reopened.

Not sure where contract version comparison fits in your process?

Talk it through with the team. We will map it to your steps and show where a person stays in control.

  • Works from a sample of your real items
  • Shows what Flo handles and what it hands over
  • No commitment to start
Rollout

Rolling it out

  1. 1Fix naming

    Agree one version label scheme before starting.

  2. 2Run on live negotiations

    Compare each returned draft with the prior one.

  3. 3Link to requests

    Match changes to the request log.

  4. 4Archive history

    Keep delta records with the final contract.

Signs you would benefit

Counterparties return drafts with unmarked changes.
Rounds repeat points already agreed.
Files circulate in several versions.
Nobody can show what changed between rounds.
The numbers

How to measure it

Set your own baseline first. We do not publish benchmarks without a source you can check.
Metric 1

Untracked change rate

Rate (%) =
versions with unreported changesversions returned× 100

This shows how often returned drafts include changes the sender did not flag. It tells you how much weight to put on cover notes.

  • Track by counterparty.
  • Use it to decide when to run a full comparison every round.
Questions

Frequently asked questions

Quick answers to what people ask most about contract version comparison.

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What is contract version comparison?

It is the comparison of two drafts of the same agreement to identify exactly what was added, removed or reworded between them.

How is it better than a standard document compare?

A basic compare shows every character change. The agent filters noise and explains the effect of the changes that matter.

Does it catch changes made without tracked edits?

Yes. It compares the text itself, so edits made with tracking off still show up.

Does the agent decide which version is final?

No. It reports differences. People decide what to accept and which version goes to signature.

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Try contract version comparison on your own data

Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.

  • People approve, sign and pay
  • Every action is logged
  • Start with a small sample