How Insurers Use AI to Score Injury Claims

Insurance companies use software to score injury claims, and the same class of technology now organizes evidence on the claimant’s side. Personal injury law has always been data-heavy: medical records, police reports, wage documents, and witness statements from a single serious case can run to thousands of pages. For decades that volume meant delays and buried details, and insurance adjusters held the advantage because they had more resources to process information faster.

AI Adoption in Law Firms

Law firm use of AI tools nearly tripled in a year. The American Bar Association’s 2024 TechReport, as reported by LawNext, found AI adoption among respondents rose from 11 percent in 2023 to 30 percent in 2024. Personal injury lawyers are ahead of that curve: Above the Law, citing the 8am 2025 Legal Industry Report, reported that 37 percent of personal injury lawyers use generative AI in their work, compared with 31 percent of lawyers overall.

Insurance Company Claim Scoring Software

Insurance companies have run injury claims through predictive software for more than two decades. The best-known system, Colossus, assigns point values to injuries, treatments, and diagnosis codes, and it scores the file before a person has looked at it closely.

Newer AI claims tools go further. Shift Technology reports that early adopters of its AI claims product saw 3 percent lower claims losses and 30 percent faster claims handling. For an insurer, lower claims losses means less paid out on claims.

Claim scoring systems look for patterns that lower a claim’s value:

• Gaps in medical treatment, where a missed appointment or delayed visit is flagged as a sign the injuries were not serious
• Inconsistencies between reported symptoms and medical records
• Prior injury history that can support an argument that current injuries are pre-existing
• Social media activity that appears to contradict claimed limitations, covered in social media surveillance in injury claims

Attorney Uses of AI in an Injury Case

AI tools can organize medical records, review evidence, and compare information for the claimant’s legal team. Each of the uses below still requires an attorney to verify the work and protect client confidentiality.

Medical Record Analysis

A serious injury case can involve thousands of pages of medical records. AI tools can read, categorize, and flag findings in a fraction of the time manual review takes, which brings forward details such as a diagnosis buried in an emergency room report or a treating physician’s note linking the current condition to the crash. Those details belong at the front of the demand package. The range of injuries involved is covered in car accident injuries.

Crash Reconstruction

AI-assisted photogrammetry and 3D modeling tools can recreate crash scenes from photos, measurements, and vehicle data, showing how the crash happened and which party was at fault. Reconstruction work is covered in accident reconstruction in injury cases.

Demand Strategy Data

Predictive analytics tools analyze outcomes from cases with similar injuries, facts, and jurisdictions. An insurer’s software that expects a lawyer to settle early shapes how the adjuster treats the claim, so a firm’s record of litigating and resolving serious cases changes that calculation.

Defense Record Review

AI-assisted document review finds inconsistencies and omissions in the defense’s materials, such as commercial vehicle maintenance records, driver logs that do not add up, or safety violations a company buried. A quick read-through rarely catches those details, and they carry particular weight in truck accident cases.

Ethics Rules for AI Use

Lawyers using AI tools keep their professional duties. ABA Formal Opinion 512, issued in 2024, says lawyers using generative AI must consider competent representation, protecting client information, communicating with clients, and charging fees consistent with Model Rule 1.5. Under Model Rule 1.6, a lawyer must keep information relating to a client’s representation confidential, and a lawyer who uses an AI tool to draft a document must review the draft for accuracy and completeness before relying on it. How firms apply those rules in practice is covered in personal injury firms and AI.