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Copilot can review a contract in a narrow sense: Microsoft 365 Copilot reads an agreement inside Word, summarizes it, answers questions about its terms, rewrites selected language, and drafts from reference files you supply. It is a general productivity assistant rather than a contract review tool, so it carries no jurisdictional knowledge, no fallback positions, and no playbook-referenced reason recorded for why a position was accepted or rejected. Copilot therefore closes the reading and summarizing part of a review. It leaves the judgment, the playbook comparison, and the redline rationale to the lawyer. For in-house legal teams weighing it against purpose-built legal AI, the useful question is which review steps Copilot closes and which it leaves open.
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Copilot can review a contract in Word to the point of summarizing it, locating clauses, and answering questions about the text, and it cannot review a contract against a legal standard on its own.
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Copilot can do four things in a contract review: summarize a long agreement, locate and explain specific clauses, rewrite selected language, and draft new content from reference files such as a template or a checklist. Microsoft documents each of these capabilities for Copilot in Word, and each runs on the document already open in front of the lawyer.
The output in every case is prose generated for the document open in Word, not a redline attributed to the lawyer who requested it. A lawyer still decides whether the summary is complete and whether the rewritten language belongs in the agreement.
To use Copilot for contract review a legal team needs three things: a Microsoft 365 Copilot license on the reviewer’s account, the contract in a supported Word file rather than a flat scan, and reference material for Copilot to compare the draft against. The third is the one that decides whether Copilot can do more than summarize. Copilot has no view of a firm’s standard positions unless somebody supplies the template, the checklist, or the playbook as a file.
Without the third item, Copilot can still summarize and explain a contract, but it has nothing to measure the contract against, so it cannot flag a missing clause or a term that falls outside the firm’s standard position. Before a legal team supplies a reference file that contains client contract terms, it is worth confirming how Copilot handles that data at the tenant level, since a template or checklist can itself carry sensitive drafting positions.
To review a contract with Copilot in Word, open the agreement, ask Copilot to summarize it, then work clause by clause with targeted prompts and attached reference files. The sequence below follows the order a transactional review already runs in, so Copilot slots into the existing workflow rather than replacing it.
A legal team running this sequence on a recurring document type will get more out of it with a reusable set of Copilot prompts for lawyers for each step than by writing them from scratch every time.
A Copilot contract review agent is a configured version of Copilot that carries a legal team’s own instructions and knowledge, which is how a Copilot review moves from generic summarizing to playbook comparison. Microsoft supports two routes for building one: a declarative agent built on Copilot’s own orchestrator with your instructions and files, and a custom engine agent an organization builds itself.
A declarative agent is the faster path: a legal team configures instructions and attaches its playbook and templates as knowledge, and Copilot’s existing orchestrator and models run the agent from there. A custom engine agent gives an organization its own orchestration and model choices, at the cost of building and maintaining that infrastructure.
Either route inherits the legal team’s files, not legal training. The agent still reasons over whatever playbook or checklist it was given, so an outdated or incomplete playbook produces an outdated or incomplete review, and somebody on the legal team has to own keeping that knowledge current.
Copilot contract review has four limitations that matter for lawyers: no legal training behind its reading of an obligation, no jurisdictional awareness, a risk of confident but fabricated output, and no playbook-referenced reason recorded for why a position was accepted or rejected. Microsoft positions Copilot as general productivity software, and its own legal framing keeps a qualified reviewer in the loop.
The gap is a recordkeeping problem rather than a drafting one, and that is the dimension separating a general assistant from the AI contract analysis software a transactional practice would buy for the purpose. The gap tends to surface once the same clause type comes up a second or third time, not on the first contract a reviewer runs through Copilot.
Copilot’s data handling is a separate question from any of the four limitations above, and it is set at the tenant level rather than per document. That is why a firm’s answer on whether Copilot is private depends on its own Microsoft 365 configuration rather than on the review workflow described here.
A lawyer can still use Copilot productively inside these limits. The risk is treating a Copilot summary as a substitute for the clause-by-clause check a transactional review actually requires.
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Every Copilot contract review needs a verification pass before it goes to a counterparty, because a summary that reads well can still miss a clause or describe one that is not in the document. ABA Formal Opinion 512 is explicit that the duty of competence travels with the lawyer who uses a generative AI tool, not with the vendor.
ABA Formal Opinion 512 does not set a specific checklist for this review; it sets the standard that the lawyer, not the tool, is accountable for the result.
Spellbook is a legal AI alternative to Copilot for contract review: it runs in the same Word window, and it reviews the draft against a legal team’s own playbooks and 20M+ real contracts rather than against general business language. Where Copilot returns a summary, the Review feature returns redlines as native Word tracked changes under the lawyer’s name.
Spellbook can help keep terms aligned with a firm’s standard positions across every contract that passes through the Review feature, on the same Word document a lawyer already has open, with redlines that land as tracked changes rather than a separate summary to reconcile by hand.
| Dimension | Microsoft Copilot | Spellbook |
|---|---|---|
| Built for | General productivity across Word, Excel, Outlook, Teams | Commercial contract review and drafting |
| Redline output | Inserts or rewrites text in the document, not a tracked change attributed to the reviewer | Native Word tracked changes under the lawyer’s name |
| Reviews against your playbook | Only via a configured agent you build | Yes, out of the box |
| Clause benchmarking against market norms | No | Yes, via the Compare to Market feature |
| Jurisdictional awareness | Only from the reference files the lawyer attaches | Only from the playbook and reference set supplied |
| Multi-document review | Only via a custom-built agent | Yes, with the Associate feature |
| Standard positions applied across contracts | Only via a configured agent you build | Yes, via the Playbooks feature |
| Data handling | Tenant-level, per Microsoft’s own documentation | Zero data retention |
| Setup | Included in a Microsoft 365 Copilot license | Legal team’s playbook configured by Customer Success |
Copilot
Pros
Cons
Spellbook
Pros
Cons
Copilot fits a legal team that wants a fast summary or a quick clause explanation without new procurement. Spellbook fits a team that wants the review itself done against its own standard positions, with the output already in redline form.
For teams comparing dedicated review tools more broadly, a wider survey of AI contract redlining tools covers how several specialists, Spellbook included, handle the same redlining question.
Try Spellbook free to see how the Review feature handles a contract against your own playbook.
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Does Copilot keep contract data confidential?
Copilot’s handling of contract data is set at the Microsoft 365 tenant level rather than per document, so whether a given contract stays inside the organization’s boundary depends on how that tenant is configured. Microsoft documents the behavior at the tenant level, and a firm sending client contracts through Copilot confirms its own tenant settings before the first review rather than after.
Can Copilot redline a contract the way a lawyer would?
Copilot can rewrite selected language and insert the result into the document, but that is not the same as a tracked-changes redline attributed to a specific reviewer. A lawyer who wants that output has to convert Copilot’s suggested language into a tracked change manually.
What are the downsides of using Copilot for contract review?
The main downsides are the same four limitations covered above: no legal training, no jurisdictional awareness, a risk of confident but fabricated output, and no playbook-referenced reason recorded for why a position was accepted. None of these rule Copilot out for a fast first pass; they rule it out as a substitute for a lawyer’s own check.
Can ChatGPT review a contract instead?
ChatGPT can summarize and answer questions about a contract in the same general-assistant sense Copilot can, with the same limitations: no legal training, no jurisdictional awareness, and no record of prior positions unless a team builds that separately. The two tools differ mainly in where they sit in a lawyer’s workflow and how they handle the data pasted into them, which a direct comparison of the two on privacy grounds covers in more detail.



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