- GLM Legal contract review turns dense contracts into structured clause summaries, risk lists, and follow-up questions.
- Structured prompts with background facts, jurisdiction, and output schemas produce the most stable results.
- Citation discipline matters: every finding must cite the clause it came from, with no invented facts.
- Human review is mandatory: outputs are work-product assistance, never a final legal conclusion.
- Start narrow: test on one contract type with a defined success criterion before scaling.
What GLM Legal Contract Review Covers
Contract review is one of the core use cases for GLM Legal, the legal-focused GLM model positioned for document understanding, clause analysis, issue identification, and legally oriented text generation. Instead of replacing a lawyer's judgment, the model acts as a supervised first-pass analyst: it reads the contract, surfaces material clauses, classifies risks, and drafts a structured summary that a legal professional verifies and approves.
A typical GLM Legal contract review pass focuses on six deliverables:
| Output Element | What It Contains | Why It Matters |
|---|---|---|
| Clause summary | Key obligations, renewal terms, termination rights | Speeds up partner-level reading |
| Issue list | Unusual clauses, missing provisions, ambiguities | Directs reviewer attention |
| Risk classification | Commercial, regulatory, operational risk tags | Prioritizes follow-up work |
| Suggested questions | Follow-up questions for negotiation | Prepares client conversations |
| Citations | Clause references for every finding | Makes each finding traceable |
| Confidence levels | Assessment based only on supplied text | Signals where review is essential |
The model can only analyze the text you supply. It does not introduce outside facts, verify negotiation history, or substitute for advice on jurisdiction-specific enforceability. A qualified lawyer must confirm clause interpretation and business context.
Inputs You Need Before Starting
A review is only as good as the materials and criteria behind it. Prepare four input categories before running any GLM Legal contract review task.
Contract materials
- Contract text and exhibits
- Amendments and side letters
- Defined terms list
- Version history and dates
Review criteria
- Playbook or negotiation guidelines
- Risk tolerance by category
- Precedent positions from prior deals
- Required standard clauses
Context
- Parties and their roles
- Business objective of the deal
- Applicable law and jurisdiction
- Deal timeline pressure
Output specification
- Required schema (fields, ordering)
- Risk taxonomy labels
- Citation format
- Escalation or review field
Remove duplicates, label document versions clearly, and strip irrelevant attachments before uploading. Cleaner inputs reduce ambiguity and produce sharper clause-level findings.
Step-by-Step Review Workflow
Follow this six-step process to run a contract review that is structured, traceable, and ready for professional verification.
Define the review objective
State whether the priority is commercial risk, regulatory risk, or operational risk. A single dominant focus produces more consistent findings than an open-ended "review this contract" request.
Assemble the prompt
Use the structured contract review pattern: background facts, parties, jurisdiction, review priority, task instructions, citation requirements, and the contract text. Separate the factual record from the requested task.
Run the first pass
The model returns an issue list where each item includes clause reference, issue category, plain-English explanation, potential impact, follow-up direction, and a confidence level based only on the supplied text.
Verify every citation
Check each quoted clause and reference against the original contract. Confirm dates, party names, and cross-references. Flag any finding that rests on inference rather than contract text.
Classify and prioritize
Map verified findings onto your risk taxonomy, rank them by business impact, and convert them into negotiation questions and revision directions.
Lawyer sign-off
A responsible lawyer reviews the analysis, confirms jurisdiction applicability and business context, approves final language, and records corrections to improve future runs.
The most useful reviews separate factual findings, legal analysis, and recommended actions into distinct fields. This makes each output auditable and keeps the model from presenting a draft analysis as a final legal conclusion.
Prompt Pattern for Contract Review
This reusable prompt structure comes from the GLM Legal prompt guide and is designed for supervised review:
Prompt skeleton:
You are assisting with a supervised contract review.
Background facts:
- Contract type: [contract type]
- Parties: [party A] and [party B]
- Business objective: [objective]
- Applicable law and jurisdiction: [jurisdiction]
- Review priority: [commercial / regulatory / operational risk]
Task:
Review the contract text below and identify clauses that may require
attention. For each issue, provide:
1. Clause reference or quoted text
2. Issue category
3. Explanation in plain English
4. Potential business or legal impact
5. Suggested follow-up question or revision direction
6. Confidence level based only on the supplied text
Citation requirements:
Cite the relevant clause for every finding. Do not introduce facts
that are not present in the contract.
Contract text:
[insert contract]
The output schema that pairs with this prompt:
| Field | Description |
|---|---|
| Issue ID | Stable identifier for tracking |
| Clause reference | Section number or quoted text |
| Risk category | Commercial / regulatory / operational |
| Finding | What the clause says and why it matters |
| Potential impact | Business or legal consequence |
| Follow-up action | Question or revision direction |
| Confidence | High / medium / low, based on supplied text |
If a prompt does not require clause-level citations, findings become unverifiable. Always require citations and always instruct the model not to introduce facts absent from the contract.
Quality Controls and Review Checklist
Before any GLM Legal contract review output is used in practice, run these controls.
Pre-Use Review Checklist:
- Every finding cites a specific clause
- No facts introduced beyond the supplied contract
- Dates, party names, and cross-references verified
- Risk labels match the organizational taxonomy
- Lawyer has approved interpretation and business context
- Corrections recorded for prompt improvement
Quality controls worth adding to any production prompt include: restating the task in one sentence, listing supplied facts separately from assumptions, identifying the governing jurisdiction, separating facts from analysis, flagging missing information that could change the result, and never presenting a draft as a final legal conclusion.
Record corrections after every reviewed contract. Small prompt refinements, such as clearer risk-category definitions or stricter citation formats, compound into noticeably better output over repeated runs.
FAQ
Q: Can GLM Legal contract review replace a lawyer?
No. GLM Legal produces first-pass analysis, structured summaries, and issue lists. Every output is work-product assistance, and a qualified lawyer must verify clause interpretation, jurisdiction applicability, and business context before anything is used in practice.
Q: What makes a GLM Legal contract review prompt effective?
Effective prompts separate background facts from the task, specify the jurisdiction and review priority, define a fixed output schema, require clause-level citations, and instruct the model not to introduce facts that are not in the contract.
Q: How should I structure the first test?
Choose one contract type, one defined review objective, and a small set of representative documents. Verify every citation and finding against the original, then expand to more complex workflows once the output quality is consistent.
Q: How are risks classified in the output?
Findings are tagged by category, typically commercial, regulatory, or operational risk, based on the review priority you set in the prompt. Each finding also carries a confidence level derived only from the supplied contract text.