DOCUMENT OPS

Counterparty Redline Diff to Slack on New Dropbox Upload

When a new counterparty contract version lands in a Dropbox folder, it diffs the document clause-by-clause against the prior version and posts only the material deltas to a Slack…

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew contract version uploaded to Dropbox folderDropboxDropbox
  • ActionDownload new and prior contract versionsDropboxDropbox
  • ActionAlign clauses and classify each delta as material or cosmeticOpenAI
  • LogicDrop cosmetic changes; stop if no material deltas
  • OutputPost material clause deltas to Slack deal channelSlack

What it does

Watches a Dropbox folder where counterparties drop revised contract drafts. Each time a new version arrives, it pairs it with the immediately prior version, runs a clause-by-clause comparison, and filters out cosmetic edits (whitespace, renumbering, defined-term casing). It then posts a structured summary of only the substantive changes to your deal's Slack channel so reviewers see what actually moved.

When to use it

Use it during active negotiation when a counterparty sends marked-up or clean redrafts and your team needs to triage changes fast. Ideal for deal desks and in-house legal who route many drafts and want to avoid eyeballing entire documents to spot the three clauses that changed.

How it works

  1. 1A new file landing in the monitored Dropbox folder fires the trigger.
  2. 2The flow downloads both the new file and the prior version of the same contract.
  3. 3An OpenAI step aligns clauses by heading and semantic position, then classifies each delta as material or cosmetic.
  4. 4A logic step drops cosmetic-only changes and stops if nothing material remains.
  5. 5The material deltas, each with old-vs-new text and a risk note, post to the Slack deal channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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