Contract management · Production

3Commas replaces legacy CLM with Juro AI Assistant to turn around contracts up to 90% faster

The problem

3Commas had a CLM in place but it was generating its own inefficiencies, slow turnaround times, and unpredictable results, creating friction for a lean legal team managing employment, service, and commercial contracts in a fast-moving regulated sector.

First attempt

The existing CLM platform failed to deliver satisfactory results, producing its own inefficiencies and slow, unpredictable contract turnaround times.

Workflow diagram · grounded in source
1
Business user self-serve trigger
trigger
“Commercial colleagues are able to self-serve on contracts and get them agreed at scale, with the lean legal team staying in control”
2
HiBob data auto-create
integration
“A colleague in HR can select an employee profile, then choose a contract type, like an employment contract, and Juro auto-creates the document using all the relevant data from HiBob”
3
Human review before signing
human_review
“HR can just check the information briefly and send it for signing”
4
AI Draft clause generation
ai_action
“Yuliia uses AI Draft to generate new clauses and language during negotiations with counterparties on service agreements. "The counterparty might leave comments and amendments, but not propose a version of the clause. Juro's AI function h…”
5
Full-document context analysis
ai_action
“AI Assistant differs from regular LLM platforms in that it analyses the whole context of the document before offering solutions and responses to prompts. Users can even input playbooks to set guardrails that guide the responses returned …”
6
Mass-create and mass-sign output
output
“We also use mass-create and mass-sign for common documents, like option agreements - that's a game-changer in terms of time saved”
Reported outcome

After switching to Juro (implemented December 2022) and adopting AI Assistant in mid-2023, 3Commas can turn around contracts up to 90% faster, commercial colleagues self-serve on contracts at scale, and mass-create and mass-sign features deliver significant time savings for common documents.

Reported metrics
Contract turnaround speedup to 90% faster
Time saved via mass-create and mass-signgame-changer in terms of time saved
Reported stack
JuroAI AssistantAI DraftHiBob
Source
https://juro.com/case-studies/3commas
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After switching to Juro (implemented December 2022) and adopting AI Assistant in mid-2023, 3Commas can turn around contracts up to 90% faster, commercial colleagues self-serve on contracts at scale, and mass-create an…

What tools did this team use?

Juro, AI Assistant, AI Draft, HiBob.

What results were reported?

Contract turnaround speed: up to 90% faster; Time saved via mass-create and mass-sign: game-changer in terms of time saved (source-reported, not independently verified).

What failed first in this deployment?

The existing CLM platform failed to deliver satisfactory results, producing its own inefficiencies and slow, unpredictable contract turnaround times.

How is this contract management AI workflow structured?

Business user self-serve trigger → HiBob data auto-create → Human review before signing → AI Draft clause generation → Full-document context analysis → Mass-create and mass-sign output.

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