Medical chronology software for personal injury firms: 2026 buyer's guide

What a medical chronology tool should produce

A medical chronology turns a stack of records into a dated story of care: every visit, provider, diagnosis, treatment and bill, in order, with the page each entry came from. Done by hand it takes hours per file. It is also where AI has landed first in PI practice: in an 8am survey, 56% of PI firms ranked summarizing medical records as a top AI priority in 2025, and 28% of PI lawyers now use legal-specific AI for chronologies.

PlaintiffStack publishes this guide and sells a treatment chronology tool, so read it knowing that. We have tried to describe the market fairly, and we say below where our own tool falls short, most of all on scanned records. Facts were checked on October 21, 2026.

A useful chronology has these parts. Use them as your scoring sheet.

• Every entry cites its source: document, page and ideally the words. If you cannot check an entry in one click, you will not trust the rest.
• Dates, providers and visit types in one sortable list, with duplicates merged.
• Diagnoses and procedures, with codes where the records have them.
• Treatment gaps called out, since adjusters will find them.
• Bills tied to visits, so specials reconcile with care.
• Missing records flagged: referrals with no follow-up record, bills with no chart, imaging with no report.
• Prior injuries and pre-existing conditions surfaced, not buried.

The options

For a broader view of AI vendors, see the best AI for personal injury lawyers. For the craft of the chronology itself, see how to build a medical chronology.

The scanned-records question

Ask this before anything else. Many medical records still arrive as scans, faxes or image-only PDFs, and a tool that cannot read them may skip them without telling you unless it flags them.

PlaintiffStack cannot read scans yet. Its agents read searchable PDFs, Word and text files. A file with no readable text is flagged in the document list so your team knows the AI has not read it, but scanned pages inside an otherwise searchable PDF are not read or flagged yet. If most of your records come in as faxes today, that is a real gap, and you should weigh vendors that handle scans more heavily.

For any vendor, test with your worst files: a faxed ER record, a handwritten chiropractic note, a 2,000-page hospital set. Ask whether there is a page limit, and what happens to pages the tool could not read.

How to judge accuracy

Vendor accuracy claims are hard to compare because nobody measures the same way. Measure it yourself.

1. Pick five to ten closed files where your team built a chronology by hand and the case is resolved.
2. Run each tool on the same records.
3. Score misses first. List every visit and diagnosis in your manual chronology and count what the tool missed.
4. Then score errors: wrong dates, wrong providers, injuries that were never diagnosed.
5. Check twenty citations at random for each tool. A citation that points to the wrong page is an error.
6. Time the review. The minutes a paralegal needs to check and fix the output is the number that changes your staffing.

Score the tools against each other, not against perfection. Your manual chronologies have errors too, and a pilot often finds them. What you are measuring is whether a tool gets a reviewer to a correct chronology faster than your current process does.

Some vendors put people behind the software to review output. That can help accuracy, but ask how long it adds and where those reviewers work.

Keep the chronology current

A chronology is not a one-time document. Records keep arriving for months: a second MRI, a surgeon's consult, therapy notes, a final bill. A chronology built in month two is wrong by month eight unless someone updates it. Ask each vendor what happens when a new record lands. Some tools re-run the whole file, which costs time and sometimes money each time. Others add entries as records arrive. Either way, someone should check the new entries before the demand goes out, and the chronology should show the date of its last update.

The same goes for bills. Specials change as providers reduce or write off balances, and liens grow while treatment continues. A chronology that ties each bill to its visit makes the final numbers easier to reconcile with the lien reductions you negotiate and the settlement statement you send the client.

How chronology tools are priced

• Per page or per summary. CaseMark publishes this model. It suits occasional use, and large files cost more.
• Per case. EvenUp moved to per-case pricing in 2025. PlaintiffStack's $250 per case includes the chronology tool along with case management, with AI usage billed separately.
• Platform add-on. Filevine, SmartAdvocate and Neos put chronologies inside the case system, priced as a module or a higher tier.
• Quote. Supio, Eve and Anytime AI price by conversation.
• Human services. Nurse reviewers and outsourced chronology services usually price by page or by file. They are slower but read anything a person can read.

See AI demand letter software cost for how these models add up over a year.

Questions to ask vendors

1. Do you read scanned, faxed and handwritten records? What happens to pages you cannot read?
2. Is there a page limit per file or per run?
3. Does every entry cite a document and page?
4. Do you flag treatment gaps and missing records, or only list what is there?
5. Do people review the output? Where are they, and how long does review add?
6. Will you sign a BAA before we upload records? Is our data used to train models?
7. Can we export the chronology to Word or a spreadsheet?
8. Does the chronology update when new records arrive, or do we re-run it?

The security questions deserve their own list: see the legal AI security checklist.

Where PlaintiffStack fits

On a PlaintiffStack PI case, the treatment chronology tool builds a dated, cited chronology of care from the records in the case, and the missing records report lists records, bills and referrals not in the file. Morning checks flag record requests left untouched and gaps forming in treatment. Each fact cites the document and page it came from, and a person accepts proposed facts before they land in the case. The chronology feeds the policy-limits demand, and records requests can start from the medical records request letter generator.

It fits California firms that want the chronology on the same record as the case, the liens and the demand, at a published price, and whose records are mostly searchable. It does not fit firms that need scanned records read today, firms outside California, or firms that need a SOC 2 report before upload. See the Draft app, Documents, PlaintiffStack vs Supio and PlaintiffStack vs CaseMark.