Artificial-intelligence tools can organize documents, summarize facts, and generate polished legal-sounding prose. They can also make a weak employment claim sound compelling, misstate the governing legal standard, overlook procedural problems, or produce a damages figure with little connection to what could realistically be recovered. A persuasive-looking AI output is not a substitute for an experienced attorney's evaluation.
AI Does Not Know Which Facts Actually Matter
Employment claims turn on elements that vary by statute and jurisdiction. A chronology may contain dozens of facts that feel unfair while only a few are legally significant. Counsel distinguishes evidence of discrimination, retaliation, protected activity, causation, pretext, accommodation, protected leave, or wage violations from facts that do not support a recognized claim.
It Can Overstate the Strength of a Case
Generative AI is designed to produce a useful answer, not to cross-examine the user's assumptions. If the prompt presents events from one side's perspective, the output may simply reinforce that framing. It may not adequately account for the employer's legitimate explanation, comparator problems, decision-maker knowledge, inconsistent evidence, credibility issues, after-acquired evidence, or procedural defenses.
Case Value Requires More Than a Damages Spreadsheet
Employment-case value depends on liability risk, available remedies, mitigation, statutory caps, fee-shifting, insurance, collectability, forum, evidentiary quality, litigation cost, and the employer's willingness to settle. AI tools frequently convert lost wages or emotional distress into a demand amount without analyzing how those categories would actually be proved or limited.
Demand Letters Can Hurt Rather Than Help
A demand that exaggerates claims, cites inapplicable law, misstates facts, threatens improper consequences, or demands an unrealistic amount can reduce credibility. It can also lock the employee into factual assertions before counsel has reviewed the evidence. In some situations, sending a detailed demand too early may alert the employer to issues without generating meaningful leverage.
Confidentiality and Privilege Matter
Employees should think carefully before uploading confidential employer documents, medical information, privileged communications, trade secrets, or personal data into any third-party AI service. The privacy, retention, and use terms of the particular service matter.
Where AI Can Be Helpful
AI can be useful for organizing a timeline, identifying documents to discuss with counsel, drafting questions for a consultation, or helping a client understand general terminology. The safest use is as an organizational aid—not as the final decision-maker about liability, strategy, settlement value, or what should be communicated to the employer.
Experienced Legal Review Adds Context
An employment lawyer can test the client's theory against the actual elements of the claim, identify missing evidence, anticipate defenses, estimate realistic damages, and decide whether an internal complaint, severance negotiation, administrative charge, mediation, demand, or litigation is the best next step.
If you have used AI to prepare a case summary or demand, bring the underlying documents and timeline to your consultation rather than relying on the AI output alone.