# Is AI severance review reliable?

> Counteroffer · Answers · severance
> Source: https://trycounteroffer.com/answers/is-ai-severance-review-reliable


**Short answer:** AI severance review is reliable for the structural and benchmarking parts of contract analysis (identifying clauses, citing market data, flagging required carve-outs) when paired with human audit. Raw ChatGPT output without curated training and human review is unreliable for legal-adjacent decisions. Counteroffer combines AI trained on attorney-drafted contracts with human audit before delivery, plus a full refund if we miss a material issue. For situations within the standard severance framework, the reliability matches attorney-level analysis at a fraction of the cost.

## What "reliable" means for severance review

Reliability in this context has several dimensions:

**Accuracy of clause identification.** Can the system correctly identify what each clause does? Modern AI does this well, with high accuracy on standard contract structures.

**Accuracy of benchmark data.** Does the system know what's market for your specific role, tenure, and stage? This depends on curated data, not the model. A model with good benchmark training is reliable; raw ChatGPT is not.

**Accuracy of legal citations.** Are cited statutes and cases correct and current? AI without specific legal training often hallucinates citations. A model trained specifically for legal analysis with verified citation databases is reliable.

**Accuracy of state-specific application.** Does the system know that California voids non-competes broadly while Florida is enforcement-friendly? Requires specific state-law training.

**Catching edge cases.** Does the system know when to escalate to attorney consultation vs. providing a review? Human audit is critical here.

## Where AI is most reliable

AI does these tasks well:

- Identifying every clause in a contract
- Matching clauses to categories in a defined rubric
- Generating clear summaries of clause effects
- Drafting counter language based on standard templates
- Citing federal statutes and well-established cases
- Producing structured output in consistent format

These are the workhorse tasks of contract review. They benefit from AI scale and consistency.

## Where AI alone is less reliable

AI without specific guardrails can struggle with:

- Recent legal developments (model training data may be stale)
- Highly specific state-law nuances
- Industry-specific considerations
- Judgment calls about severity and priority
- Edge cases that don't match common patterns
- Identifying situations that need attorney escalation

This is why responsible services include human audit. The AI does the structural work; humans verify and adjust.

## How Counteroffer addresses reliability

Several layers of reliability:

**Curated rubric.** The rubric is maintained based on current law, market data, and patterns from reviews. Updates flow into the AI's context for every review.

**Specific legal training.** The AI is trained on real attorney-drafted contracts, not generic internet text. It understands the patterns and conventions of severance agreements specifically.

**Human audit.** A human reviewer checks every output before delivery. Catches AI errors, adjusts severity, flags items for escalation.

**Citation verification.** When the AI cites a statute or case, the citation is verified against our reference library. Hallucinated citations are caught and corrected.

**Escalation criteria.** Specific situations (discrimination claims, large equity, M&A, litigation) trigger attorney referral instead of a standard review.

**Refund policy.** If we miss a material issue your attorney later catches, full refund. No friction.

## Testing reliability

The honest test of reliability is comparing AI output to attorney output on the same documents. In our experience:

- 80-90% of negotiable items are identified by both AI and attorney
- 10-20% are caught by one but not the other (in both directions)
- Critical issues (release defects, missing carve-outs, ADEA compliance) are caught reliably by AI when the rubric is specific
- Industry-specific or unusual clauses sometimes require attorney judgment

For standard severance situations, the AI + human review approach captures the bulk of attorney-level value. For complex situations (M&A, discrimination, large equity), an attorney's judgment-heavy analysis adds value beyond what AI provides today.

## When you shouldn't trust AI review alone

Specifically:

- Active or imminent litigation: needs attorney representation
- Suspected discrimination: legal advice required, not just contract analysis
- Equity packages over $1M expected value: complexity benefits from attorney depth
- M&A-related separations: 280G and deferred comp issues require specialized counsel
- Multi-jurisdiction or international situations: need licensed practice in relevant jurisdictions

In these situations, Counteroffer will flag for escalation and refer you to vetted employment attorneys instead of proceeding with a standard review.

## What to do next

If you want a delivered AI severance review with human audit, full refund guarantee if we miss something material, see [Severance Review](https://trycounteroffer.com/severance). $199, 24 hours.

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## Related answers
- [AI severance review](https://trycounteroffer.com/answers/ai-severance-review)
- [How does Counteroffer review contracts?](https://trycounteroffer.com/answers/how-does-counteroffer-review-contracts)
- [Counteroffer vs ChatGPT for contract review](https://trycounteroffer.com/answers/counteroffer-vs-chatgpt)

## Get your contract reviewed
If you want a delivered review of your specific document with cited authority and counter language, see https://trycounteroffer.com/severance.

Last updated: Sun May 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

_Counteroffer is a contract analysis service, not a law firm. This page is informational, not legal advice._