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. $199, 24 hours.

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.