Limited published evidence · Legal transactional diligence
Group deal documents and draft a first-pass diligence report
Ropes & Gray
Developing and testing a proprietary tool for commercial-contract diligence; rollout scale is not disclosed.
A published third-party example, not a Nuvepro customer case or evidence of a partnership.
What the source reports
OpenAI describes a tool that inventories a data room, groups related documents and drafts summaries and a report. Lawyers compare test drafts with reports from completed deals and refine the rubric. They inspect source documents and interim summaries before delivering advice to clients.
Reported technology: OpenAI. Scope and outcomes are source-reported.
What the enterprise environment would need
The following is a proposed project design for an enterprise doing similar work. Published details are marked; the remaining systems, data and scenarios would be agreed for your project.
- Systems and evidence
- Proposed: provide fictional linked contracts, amendments and a versioned diligence rubric in a read-only data room.
- People and agents
- Proposed: agents group evidence and draft findings; lawyers check completeness and decide which risks require escalation.
- State and permissions
- Proposed: retain document identities, grouping decisions and unresolved evidence. Prevent external delivery without human approval.
A proposed simulation
An illustrative practice design derived from this work, not an executed assessment.
Proposed: prepare a traceable diligence draft that separates supported findings from unresolved questions.
Review gate: A reviewer checks document coverage, issue-level evidence and exceptions before approving a client-facing report.
Challenge the result: An amendment reverses a contract term. The agent must reconcile both documents rather than summarize the earlier agreement alone.
What needs checking
- Proposed: independently verify that amendments and linked contracts are considered together.
- Proposed: compare issue-level findings against an expert-authored reference and record omissions.
- Proposed: verify that every risk conclusion cites supporting source passages.
Review environment fidelity, human capability and agent performance separately. The enterprise’s accountable owners decide acceptance of the shared workflow and any operating use.
Shape this around your enterprise
Bring a similar workflow and the people responsible for it. Together, define the records and systems to use, the result your team will build or configure, and how its owners will check it. Nuvepro scopes the simulation, environment and preparation. Agree any existing-agent evaluation, implementation assistance and production responsibilities separately.
Sources and limitations
Curation review: . This is the date this source example was reviewed, separate from source publication dates.
- This is a provider account, not independent validation.
- Hours rather than weeks is an ambition, not a measured result. Evaluation sample size, error rates and rollout coverage are undisclosed.
- Proposed practice and checks are illustrative designs, not executed Nuvepro work.
- How Ropes & Gray is developing AI for transactional diligenceSource publication: 2026-10-29