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AI automation for legal docs and sanction paper drafting

Closed
Deadline
Deadline not specified
Contract Details
Category
Negotiated Procedure
Reference
035833-2026
Value
Not disclosed
Location
Cheshire, United Kingdom
Published
August 20, 2026
CPV Code
Project Timeline

Tender Published

April 20, 2026

View Original
Budget
Not disclosed
Duration
Not specified
Location
Cheshire
Type
Negotiated Procedure

Original Tender Description

After a publication of a UK 5 notice the Development Bank of Wales will enter in to a contract with a supplier to undertake AI consultancy services to support the automation of legal document generation and sanction paper drafting. The supplier will deliver an end to end AI enabled workflow covering design, prototyping, testing and operational rollout. This includes creating structured and repeatable AI augmented processes, establishing controls and guardrails, enabling modular “agent based” workflow steps, and refining outputs through real user testing. The work also includes a targeted half day readiness session to ensure users and governance stakeholders understand safe and responsible use, limitations, validation requirements, and escalation procedures. The solution will expand on prototypes developed previously and will transform two must win internal workflows (legal work and sanction papers) into functional operational processes, enabling improved efficiency, quality, auditability and consistency across DBW teams.

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Basic Requirements

  • Company registration in EU required
  • Proven track record in similar projects
  • Financial stability documentation

Documents

3 documents available with AI summaries

OCDS RecordDOC
035833-2026_ocds_record.json

No summary available for this document.

OCDS Release PackageDOC
035833-2026_ocds_release.json

No summary available for this document.

Official PDF VersionPDF
035833-2026_official.pdf

No summary available for this document.

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Quality Score

Comprehensive quality analysis of this tender scoring legal compliance, clarity, completeness, fairness, practicality, data consistency, and sustainability on a 0-100 scale with detailed breakdown and recommendations.

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