Contract management · Production

Eureka Forbes cuts contract execution from days to minutes with SpotDraft

The problem

Eureka Forbes's legal team was buried under 2,000+ unsigned contracts, had no single source of truth across 4,000+ scattered legacy agreements, and spent weeks on manual clause-by-clause reviews for audits, preventing the department from acting as a strategic business partner.

First attempt

Previous CLM tools lacked seamless workflow automation, broke down frequently, and were not built for in-house counsel needs, creating a dangerous dependency on software that couldn't be trusted.

Workflow diagram · grounded in source
1
Contract backlog accumulates
Trigger
A backlog of 2,000 unsigned contracts stalled business operations and created friction with sales teams.
▾ source quote
“A backlog of 2,000 unsigned contracts stalled business operations and created friction with sales teams”
2
Legacy contracts migrated
Integration
SpotDraft's onboarding team migrated the entire 4,000-contract backlog, capturing metadata with high accuracy.
▾ source quote
“SpotDraft's onboarding team migrated the entire 4,000-contract backlog, capturing metadata with high accuracy and allowing for instant sorting between legacy and new agreements”
3
Data extraction and NLS indexing
Ai action
SpotDraft performed complete data extraction and indexing of the 4,000+ contract portfolio, converting contracts into structured data and enabling Natural Language Search.
▾ source quote
“SpotDraft performed a complete data extraction and indexing of the 4,000+ contract portfolio. By converting these contracts into structured data, SpotDraft enabled Natural Language Search”
4
One-click signature workflow
Output
Moving to a one-click signature workflow cleared 90% of the backlog, allowing deals to close in hours rather than days.
▾ source quote
“Moving to a one-click signature workflow cleared 90% of the backlog, allowing deals to close in hours rather than days”
5
NLS clause search for audits
Ai action
The legal team queries their entire contracting history in plain English, identifying specific clauses for remedial action in seconds rather than weeks.
▾ source quote
“This allows the legal team to query their entire contracting history in plain English, identifying specific clauses for remedial action in seconds rather than weeks”
Reported outcome

Contract execution dropped from 3–5 days to minutes or hours, 90% of the 2,000-contract backlog was cleared, and 4,000+ legacy agreements were migrated and made searchable via Natural Language Search, enabling clause identification in seconds rather than weeks.

Reported metrics
Contract execution timeminutes or hours
Previous contract execution time baseline3–5 days
Signature backlog cleared90%
Unsigned contracts in backlog at outset2,000
Show all 6 reported metrics
contract execution timeminutes or hours
previous contract execution time baseline3–5 days
signature backlog cleared90%
unsigned contracts in backlog at outset2,000
legacy agreements migrated4,000+
clause identification timeseconds rather than weeks
Reported stack
SpotDraftNatural Language Search
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Source
https://www.spotdraft.com/customer-stories/how-eureka-forbes-cut-contract-execution-from-days-to-minutes-with-spotdraft
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Contract execution dropped from 3–5 days to minutes or hours, 90% of the 2,000-contract backlog was cleared, and 4,000+ legacy agreements were migrated and made searchable via Natural Language Search, enabling clause…

What tools did this team use?

SpotDraft, Natural Language Search.

What results were reported?

Contract execution time: minutes or hours; Previous contract execution time baseline: 3–5 days; Signature backlog cleared: 90%; Unsigned contracts in backlog at outset: 2,000 (source-reported, not independently verified).

What failed first in this deployment?

Previous CLM tools lacked seamless workflow automation, broke down frequently, and were not built for in-house counsel needs, creating a dangerous dependency on software that couldn't be trusted.

How is this contract management AI workflow structured?

Contract backlog accumulates → Legacy contracts migrated → Data extraction and NLS indexing → One-click signature workflow → NLS clause search for audits.

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