Attorney hours per contract by type
Compare against fee assumptions for flat-fee work.
Law firms · Contract and document review support
Give attorneys a clean issues list before they open the redline
Transactional and general counsel practices review the same kinds of documents again and again: NDAs, master services agreements, commercial leases, operating agreements, vendor contracts. Much of a first pass is checking for the same issues, such as missing limitation of liability, an unusual indemnity, an auto-renewal clause or a governing law that does not match the client's position.
How it often works today
- Associates review counterparty paper line by line against a mental checklist, and the quality of the first pass depends on who did it and how busy they were.
- The firm's preferred positions live in partners' heads or an outdated Word playbook, so junior attorneys escalate questions a written fallback would answer.
- Flat-fee contract reviews regularly run over budget because the first read takes longer than the fee assumed.
- Defined terms, cross-references and exhibit lists are checked manually at the end, often under deadline pressure before signing.
Review support compares an incoming document against your firm's playbook and produces an issues list with clause references. It does not decide what is acceptable. The attorney still reads the document and makes every judgment call, but starts with a map of deviations instead of a blank page. For flat-fee work, that can be the difference between a profitable matter and a write-down.
The improved workflow
Write down the playbook
Partners agree preferred positions, acceptable fallbacks and walk-away points for the firm's most common document types. This step alone often improves consistency, with or without AI.
Run an automated first pass
The document is checked against the playbook inside an approved tool, producing an issues list that cites clause numbers and explains each deviation.
Check mechanics
Defined terms, broken cross-references, missing exhibits and inconsistent party names are flagged so the attorney does not have to hunt for them.
Attorney review and redline
The attorney reads the document with the issues list beside it, accepts or rejects each flag, and drafts the redline and client advice personally.
Feed decisions back
Where attorneys repeatedly overrule a flag, the playbook is updated so the next first pass reflects how the firm actually negotiates.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
What we would measure
Flags accepted versus dismissed
Shows whether the playbook and tool are producing useful issues or noise.
Issues found after signature
The quality check. Faster review is only useful if nothing important is missed.
Where people stay in control
- The attorney responsible for the matter reads every document and makes every legal judgment; the issues list is a checklist, not advice.
- Client and counterparty documents are processed only in tools whose terms bar training on firm data and that support matter-level access controls.
- Billing for AI-assisted review follows the firm's policy and ABA Formal Opinion 512 guidance on reasonable fees, decided by the billing partner.
Example
Illustrative: an MSA for a software client
For example, a client sends a customer's 30-page master services agreement on a Thursday. The first pass flags an uncapped indemnity, a unilateral termination right, a 90-day payment term against the client's standard 30, and two undefined capitalized terms. The associate confirms three flags, dismisses one as acceptable for this customer, and spends the saved hour on the client call about pricing risk. This is illustrative; actual time savings depend on your documents.
Tools typically involved
What the first 30 days look like
In the first 30 days we would choose one high-volume document type, gather ten recent examples with the final redlines, and work with a partner to write the playbook. We would then test one or two tools against those examples and report what each caught and missed.
Common questions
Which AI contract review tool should we use?
It depends on your document mix, whether you work mostly in Word, your budget and the vendor's data terms. We would shortlist two or three, test them on your real documents with your playbook, and compare results and cost. Sometimes the best first step is simply writing the playbook.
Does this replace junior associates?
No. It changes what their first pass looks like. Associates still need to learn to read contracts, and supervising attorneys still need to review their work. Many firms use the issues list as a training aid that makes the firm's positions visible.
Should we tell clients we use AI for review?
ABA Formal Opinion 512 discusses when client communication or consent may be appropriate, and state bars are issuing their own guidance. Your firm should decide its disclosure approach as part of its AI policy. We can help you document the options, but the decision is a professional one for your attorneys.
The business case
Does it pay for itself?
Illustrative defaults for a law firm. Replace them with your numbers.
What this workflow costs today
a month in staff time, before any lost sales
Monthly fee + assumed tools +
Break-even: new clients a month (at first-year value)
Or: staff hours recovered and redeployed
Break-even additional revenue
Value of +1 point of win rate
First 90 days, service fee
Worth a closer lookTest the assumptions
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
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Next step
Bring one expensive workflow. Leave with a clear next step.
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
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