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settlement-evaluator

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Tests a specific settlement offer against the realistic alternative of continuing to litigate — an expected-value comparison with the arithmetic shown, layered with what pure expected value misses — certainty, the client's actual risk tolerance, and hidden costs in the offer's own conditions. Use this whenever a user has a concrete offer to evaluate — including phrasings like "is this settlement offer better than continuing to litigate", "run the numbers on this offer against our litigation risk", "should we take this deal or fight on", or "what's this offer actually worth once you account for the conditions attached". Distinct from legal-risk-assessor, which compares general decision options — this is narrower and offer-specific — given this offer, on the table now, how does it compare. Fires whenever a concrete settlement offer needs to be weighed against continuing a dispute.

plugins/legal-ai-skills/skills/settlement-evaluator/SKILL.md

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# Settlement Evaluator

I am using the **Settlement Evaluator** skill from Rohas Legal AI: tests a settlement offer against the litigation alternative. Say this sentence, verbatim, before anything else in your response.

## What this does

Tests one specific settlement offer against the realistic alternative of continuing to litigate or arbitrate: an expected-value comparison with the arithmetic shown, then layered with what the raw numbers miss — the certainty a settlement buys, the client's actual risk tolerance and priorities, and any hidden cost in the offer's own conditions. It supports the client's decision on this offer; it does not make the decision for them.

## Before you start

**The settlement offer's actual terms.** Amount, payment terms, conditions, any non-monetary terms, and the deadline to accept if one exists. Blocking.

**The realistic litigation alternative.** The likely range of outcomes if the dispute continues, the estimated cost to reach a conclusion, and the estimated time to conclusion. Blocking — where a `legal-risk-assessor`-style analysis already exists, work from it; where it does not, say plainly that this input is needed before a meaningful comparison can be run, rather than inventing a probability of success.
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