Diligence Review

AI document review for diligence advisory teams.

Process data rooms, extract key terms, identify red flags against your playbook, separate open questions from findings, and produce memo-ready outputs with source citations.

Automate Diligence ReviewSee Case Studies

What changes for your team

Move from repetitive work to decisions people can stand behind.

Data rooms overwhelm advisory teams

Contracts, management reports, policies, financial files, operating documents, schedules, and board materials arrive in bulk, often with inconsistent names and late uploads, but teams still need consistent findings fast.

Review against your diligence playbook

We encode your review checklist, risk categories, key term definitions, and escalation rules into an AI-assisted workflow.

Extract terms and red flags with sources

The workflow identifies key clauses, unusual terms, missing documents, and potential risks, then ties each finding back to the source file and passage.

Move faster from review to memo

Outputs are structured for diligence memos, issue trackers, partner summaries, or internal workpapers so analysts spend less time reformatting and reviewers spend more time on materiality.

How it works

More than a chatbot on top of your documents.

The system works with approved data and tools, shows where important answers came from, handles exceptions, and brings the right person in when judgment is required.

Define the job clearly

Agree on the work, information, business rules, user roles, desired output, and what the AI is allowed to do.

Use the right information

Bring in only the approved documents, records, business data, control libraries, or playbooks needed for the task.

Make answers easy to check

Give your team findings, matrices, notes, data-backed answers, or work queues with sources and clear reasons for exceptions.

Measure before expanding

Track edits, accuracy, time saved, exception quality, and adoption before applying the system to more work.

Designed around your team

Fit the system to the way good work already happens.

Start with one recurring problem. Keep the parts of your process that require expertise, and improve the preparation and handoffs that slow people down.

Who this is for

Teams with repeatable client delivery workflows and repetitive senior review bottlenecks.

  • Transaction advisory teams
  • Private equity advisory teams
  • Risk diligence teams
  • Legal and compliance diligence teams

What we prepare

Repeatable work that can be prepared with source citations before human review.

  • Data room intake
  • Document classification
  • Key term extraction
  • Red flag detection
  • Memo drafting

Outputs

Reviewer-ready artifacts shaped to your templates, evidence standards, and client delivery format.

  • Issue lists
  • Memo-ready findings
  • Source citation packs
  • Document coverage trackers

What your team sees in practice

Clear steps, clear controls, and a clear role for people.

Your team can see how work moves through the system, where review is required, and what should be tested before the system is used more widely.
01

Upload a representative data-room folder or document class.

02

Classify contracts, reports, management files, policies, and operating documents.

03

Extract key terms and compare them against your diligence playbook.

04

Draft memo-ready findings, issue lists, and red flags with source citations.

Reviewer controls

Controls that keep AI as a drafting layer and preserve professional judgment.

  • Playbook-driven red flag categories
  • Document coverage tracker
  • Source file and passage references
  • Memo-ready finding review

A good place to start

The conditions that make this work suitable for a focused first release.

  • A defined diligence checklist exists
  • The team can pick one document class
  • Findings have predictable memo sections
  • Source verification is a current bottleneck

Related ways to use it

Where your team could go next.

Once the first use case works well, the same trusted information and review patterns can support related work.
AI Workpaper AutomationEvidence Review AutomationDeal Delivery AI Production Sprint

FAQ

Frequently asked questions

Can the workflow use our diligence checklist?

Yes. Your playbook, red flag categories, and escalation rules become the structure of the review.

Can it handle confidential data rooms?

Yes. We can design private, access-controlled workflows for confidential client materials.

OpenAI Select Partner

Technology partnership

Build with an OpenAI Select Partner.

Recognized by OpenAI for helping organizations build, deploy, and scale AI solutions.
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Have something in mind?

Which recurring task is taking too much of your team's time?

Tell us about the review, diligence, reporting, data, or document work you want to improve. We will help you find a practical place to start.
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