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MDL PLAINTIFF FACT SHEET RECORD REVIEW

Deficiency notices are a docket problem before they are a merits problem.

MDL plaintiff fact sheet record review services pull the answers a fact sheet asks for straight out of the medical file: product exposure dates, diagnosis dates, treating providers, prior conditions and surgical history, each cited to its page. Your firm verifies with the client and serves the sheet.

Click any row → the source page it cites
Fact sheet source pack · Case #IME-4812 documented
Adams, Timothy · plaintiff file
342 pp / 2 packets received logged
11 duplicate pages removed free
p.140 — wrong patient quarantined
Pages 342 Documents 27 Cited 100%

The fact sheet is a court order. So is the deadline on it.

We do not build for a case type until we can name the standard that defines a correct output and the person who grades the file against it. In multidistrict litigation, both are already published.

The standard and the referee
The rulebook
  • The MDL’s own case management order and the plaintiff fact sheet form attached to it, which set every field, every records authorization and the service deadline
  • The census registry or plaintiff profile order many MDLs now enter before a fact sheet is due
  • Fed. R. Civ. P. 16, which makes the case management order enforceable, and Rule 37, which supplies the sanction
  • The Manual for Complex Litigation, fourth edition, the reference transferee courts use to structure this process
The referee
  • The transferee judge, who dismisses cases on a show-cause docket for unremedied fact sheet deficiencies
  • The court-appointed special master or claims administrator, who issues the deficiency notices and runs the cure period
  • Defense liaison counsel, who audits sheets against the produced records
A case dismissed on a show-cause docket over fields the records already answered From 10¢ to as low as 5¢/page here, duplicates free
Fact sheet source pack · Case #IME-4812 cited 100%
Packet342 pp / 2 packets · 11 deduplicatedlogged
Product exposure datesPulled from pharmacy and operative recordscited
Provider listEvery treating facility named in the filecited
Unanswerable fieldsFields the records do not supportflagged
Source pack delivered · cited 100% · no sheet served
How it works

3 steps between the records and the fact sheet.

01

Send the plaintiff file

Pharmacy printouts, operative reports, implant stickers and device records, treating notes and hospital records, in any format and any order.

02

We return the source pack, page-cited

Each fact sheet field answered from the records with its page citation, plus the fields the file cannot support, listed rather than guessed.

03

Your firm verifies and serves

You confirm the answers with the client, complete the fields only the client can answer, and serve the sheet under your signature.

The boundary, in writing

A sourced pack, not a served pleading.

We extract and cite what the produced records document. We do not complete or verify a fact sheet, sign anything served on the court, obtain records from providers, or assess whether a case qualifies for a settlement tier. Those are the firm’s responsibilities and the court’s.

In the demo case, 11 duplicate copies were removed before review. In an inventory of a thousand plaintiffs, duplicate pharmacy printouts are the usual reason an exposure window looks longer than the record supports.

Audit trail · Case #IME-4812 exportable
08:12Packet received · 342 pp / 2 packetssystem
08:3111 pages deduplicatedsystem
08:44p.140 flagged — wrong patientsystem
08:54Fact sheet source pack complete · source pack delivered · cited 100%system
09:20Fact sheet source pack reviewed · citations verifiedreviewer
09:26Fact sheet source pack exported · fact sheet served by the firmreviewer
Every access logged · file deleted 30 days after delivery
Why Medrecords AI

The rules the platform never breaks.

Medrecords AI EVERY LINE CITED
CASE #IME-4812 · ADAMS, T.342 pp
2/14 — ER visit, right knee p.4
4/18 — arthroscopic surgery p.61
p.140 — wrong patient quarantined
Medrecords AI
Read every page · cite every line

HIPAA, under a signed BAA

Every file is handled under our Business Associate Agreement, from the first byte.

Never trains a model

Your records are never used to train any AI model — ours or anyone else's.

Every line cited

If we can't cite it, we don't say it. Every sentence links to its source page.

Deleted after delivery

Files are deleted 30 days after delivery, with a full audit log of every access.

Powered by the platform

7 capabilities behind every fact sheet source pack.

The fact sheet source pack is one deliverable of the same platform that reads, sorts, and cites the whole record.

Medical Records OCR

Every page read in full, including the implant stickers and pharmacy printouts where exposure dates actually live.

IN ACTION · 342 pp / 2 packets, read in full

Medical Chronology

Exposure and treatment assemble into one timeline per plaintiff, so a diagnosis date sits next to the exposure window.

IN ACTION · first exposure → diagnosis, one timeline

Verifiable AI Citations

Every answer carries its page, so a defense audit lands on a citation rather than on a recollection.

IN ACTION · source pack → cited 100%

Medical Summary Reports

It exports field by field into the court’s own fact sheet format.

IN ACTION · source pack → fact sheet fields

Medical Record Deduplication

Forty charts pulled from multiple practices and EHR migrations carry their share of duplicate visit notes. Each is matched and collapsed to one canonical record, so the prescribing pattern is read once per real encounter.

IN ACTION · 40 charts → duplicate visit notes collapsed to 1 record each

Missing Records Identification

A prescribing pattern read across 40 charts is only as sound as the file behind it. When a chart references a visit, refill, or referral that never made it into the production, the gap is flagged before the pattern goes to the board.

IN ACTION · prescribing pattern cross-checked → gaps flagged before submission

Cross-Exam Simulator

A board investigator or defense counsel builds a case from the chart abstraction. This tool maps the questioning a physician facing that hearing is likely to face on the gaps and pattern in their own record. A rehearsal tool, not legal advice.

IN ACTION · prescribing pattern → likely hearing questions mapped
FAQ

MDL fact sheet record review, answered.

No. We answer the record-derived fields from the file and cite each one to its page. Verification with the client, the fields only a plaintiff can answer, and service under the case management order are the firm’s work and the firm’s signature.

Most notices name fields the produced records already answered and nobody had located. A page-cited source pack answers them before service, and it lists the fields the file genuinely cannot support so those get chased during the cure period instead of after it.

Yes. Pricing is per page, not per case or per seat, and duplicates are removed and never billed, which is what makes a thousand-plaintiff inventory reviewable at all rather than triaged by sampling.

No. Medrecords AI does not retrieve records from providers or facilities. You bring the records you already have — review starts in minutes from upload. Retrieval vendors take days; you can keep yours and still cut the review to minutes.

Send one file. We'll tell you what we can read.

No obligation. If the case type is buildable we'll scope it; if it isn't, we'll say so.