Medical code extraction for legal cases

Extract ICD-10, CPT, and HCPCS codes from the records without manual hunting.

Paralegal Genius helps legal teams pull medical codes that actually appear in the case documents, rather than inferring them from general context. That matters when the workflow needs to stay reviewable and tied to the underlying record.

Extracted, not inferredSource-cited reviewBuilt for case work
Why this matters: code extraction is useful when the team needs cleaner medical record organization without guessing or manual code hunting.

What good code extraction looks like

The workflow should preserve precision, not invent structure that is not in the documents.

In legal work, suggested codes are not the same as extracted codes. The difference is whether the team can verify where they came from.

Code extraction tied to the record

ICD-10, CPT, and HCPCS codes should trace back to the document where they appear, not to a model’s guess based on surrounding context.

  • Useful in plaintiff damages review
  • Useful in medical record organization
  • Useful alongside chronology and billing work

Part of the broader case workflow

Code extraction is most valuable when it supports the same review process as chronology, billing, and case-level questions.

See the full medical record analysis workflow. Also see Ask PG for cited case Q&A alongside code extraction.

Review still belongs to the legal team

The output can accelerate organization, but the team still decides how the codes matter in the case.

Why this feature exists

Code extraction is one more place where generic AI tends to infer what legal teams need to verify.

The point of a litigation workflow is not to produce a plausible answer. It is to surface reviewable information from the underlying source.

More precision than generic AI.

When codes are extracted from the records themselves, the reviewer has a clearer basis for trusting the result.

Less manual rework.

The legal team spends less time hunting through documents to find code references one by one.

Better fit for plaintiff-heavy matters.

Code extraction becomes more useful when it supports the same damages and record-review workflow already in progress.

Next step

Review one matter and see whether the code workflow reduces manual searching.

The fastest way to judge fit is to compare the extracted output against your current manual process on a real record set.

Related reading: Medical Record Analysis and Personal Injury Law Firms.