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How to Use AI to Ask Questions Across Thousands of Medical Records

The Search Problem in Record-Heavy Litigation

Cases with 5,000 or more pages of medical records create a search problem that compounds with every new document. Finding one answer—a specific prescription date, a provider note from a narrow window, a billing total—means flipping through dozens of PDFs and hoping the right page turns up before the deadline does.

Traditional keyword search helps when you already know the exact term. It fails when the question is conceptual: “Did any provider document limited range of motion before the surgery?” That kind of question requires reading comprehension, not string matching.

Ask PG changes this by letting litigation teams ask natural-language questions across the full case file. Instead of searching for a keyword and scanning results, you ask the question in plain English and get a direct answer with page-level citations so the reviewer can verify immediately.

What Ask PG Actually Does

The workflow is straightforward. Upload the medical records into a case workspace. Once the records are processed, open Ask PG and type a question. It searches across every document in the workspace—not just one file at a time—and returns an answer grounded in the actual records.

Every answer includes the specific page references it drew from. The reviewer clicks through to the source page, confirms the answer matches the record, and moves on. No guessing where the information came from. No orphaned claims without a citation trail.

This matters because the value of a fast answer is zero if the team cannot verify it. Ask PG is designed around that constraint: speed only counts when the citation is attached.

Five Questions Every Litigation Team Asks

The best way to understand what Ask PG does is to see the kinds of questions teams actually type into it. These are not hypothetical. They reflect the real mid-review moments where someone needs an answer and does not want to spend forty-five minutes hunting for it.

“Were ROM limits documented before surgery?”

Ask PG scans every provider note, physical therapy record, and pre-operative evaluation in the case file. If range-of-motion limitations appear in the records before the surgical date, the answer comes back with the specific entries and page numbers. If the records are silent, it says so—which is equally useful when building the case narrative.

“Which providers saw the patient in the 30 days before the incident?”

Instead of manually building a timeline and filtering by date, Ask PG identifies the relevant encounters and lists the providers with their visit dates and source pages. The reviewer gets a concise answer that would otherwise take a full pass through the chronology to assemble.

“What medications were prescribed after the initial ER visit?”

Medication questions span multiple documents—ER discharge summaries, follow-up visit notes, pharmacy records. Ask PG pulls from all of them and returns a consolidated answer tied to each source page. The team sees the full picture without opening every file individually.

“Did the expert witness contradict their prior testimony on causation?”

When deposition transcripts and expert reports are part of the case file, Ask PG can surface statements that address causation across those documents. The cited answer gives the reviewer a starting point for the deeper analysis the attorney will perform.

“What was the total billed amount from the primary treating physician?”

Billing questions are common during demand preparation. Ask PG locates the billing entries tied to the treating physician and provides the figures with page citations. The reviewer cross-checks against the billing summary and confirms before it goes into the demand.

Why Generic Chat Tools Fail at Case Q&A

ChatGPT and similar general-purpose tools can summarize a block of text you paste in. They cannot do what matters most for litigation work: search across a full medical record set, maintain page-level citations, and ground every answer in the actual documents rather than in the model’s training data.

When a generic tool produces an answer, there is no way to trace it back to a specific page in a specific record. That makes the output unusable for legal work where every fact must be verifiable. It also means the team cannot distinguish between an answer the tool extracted from the records and one it generated from general knowledge.

Ask PG is built specifically for this workflow. It operates within the case workspace, searches only the uploaded records, and ties every statement to the page it came from. The difference is not a feature gap—it is a fundamental design constraint that generic tools were never built to satisfy.

Ask PG Alongside Chronology and Billing

Ask PG works best as part of the broader record analysis workflow rather than as a standalone tool. The typical pattern: generate the chronology first using the same record set, then use it for follow-up questions that arise during review.

For example, a reviewer reads through the chronology and notices a gap in treatment between two providers. Instead of going back to the raw records to search manually, they type the question and get a cited answer in seconds. The citation references connect across outputs because everything draws from the same underlying record set.

The same applies to billing review. After the billing summary is generated, Ask PG handles the ad hoc questions—“What was billed for imaging in the first six months?” or “Were there duplicate charges from this facility?”—without requiring a separate manual pass through the records.

When to Use Ask PG vs Full Report Generation

The simplest way to decide: if you need a quick, specific answer, Ask PG is the right tool. If you need a complete structured output—a full chronology, a billing summary, an ICD/CPT code extraction—use the dedicated pipeline for that report type.

Ask PG is designed for the moments between reports. The attorney wants to know something specific before the next call. The paralegal needs to confirm a detail before sending the demand. The reviewer spots something in the chronology and wants to check whether it appears elsewhere in the records.

Both tools work from the same record set, so there is no re-uploading or duplicating effort. The question-and-answer workflow and the structured report workflow complement each other—one handles precision queries, the other handles comprehensive output.

See it on a real case

Try Ask PG on a real case question.

Upload a record set, ask your hardest question, and see whether the cited answer holds up. That is the only test that matters.

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