What's the Pain Worth? How AI Benchmarks General Damages in Bodily Injury Claims

General damages, the compensation for pain, suffering, and loss of amenity, are the most subjective figure in any bodily injury claim. Two claimants with near-identical injuries can receive very different awards depending on who examines the file, whether they have a lawyer, and which precedents get cited. AI-assisted examining narrows that gap by grounding the number in evidence.

Here is what it does in practice:

• Reads the full medical record and maps each documented injury to a recognised severity scale.
• Matches the claim against a large base of comparable settlements and awards, surfacing a realistic range rather than a single guess.
• Flags where the claimed figure sits inside, above, or below that range, with the supporting cases attached.
• Produces a traceable rationale an examiner, claimant, or court can follow line by line.

The examiner still decides. What changes is that the starting number is anchored to comparable outcomes instead of memory or negotiating posture.

Who benefits:

• Claimants get an offer built on documented injury and precedent, not the strength of their negotiator.
• Unrepresented claimants are no longer disadvantaged for lacking a lawyer to cite case law.
• Care providers and medical experts see their findings reflected directly in the valuation.
• Insurers reduce variance, leakage, and disputes, and reserve with more confidence.
• Courts and regulators receive files with a clear, auditable basis for the figure.

Consistency is the quiet win. When the same logic values every claim, similar injuries receive similar awards, and the outliers that drive litigation and complaints shrink.

None of this removes judgment from general damages. Injury is personal, and no two recoveries are identical. AI simply makes sure the number reflects the evidence in the file and the outcomes of comparable cases, so a fair figure no longer depends on who is sitting across the table.