DocketSense AI reads the entire case file, surfaces chronology, contradictions, and gaps with the document and page, then waits for the lawyer to choose a strategy before it drafts. Client records are never used to train models.
Watch how DocketSense AI reads the record, traces its reasoning, and takes you back to the exact evidence behind every material claim.
This is not a general chatbot with a legal prompt. DocketSense AI reasons over the complete matter, limits its answers to the evidence, and leaves the last call with the lawyer. Client records are never used to train models.
Pleadings, records, correspondence, and exhibits are read together. Nothing is sampled or dropped because it did not fit a context window.
Facts are dated, contradictions keep both sides with the document and page, and unexplained treatment gaps are flagged for the lawyer to weigh.
The system proposes directions from the record. You choose the strategy. Only then does it become a first draft you can edit and defend.
Answers come from the case documents, never from the model's general knowledge or the open internet.
Findings quote the record verbatim, with the document name and page number attached.
The source sentence is highlighted where it lives in the PDF, so nothing has to be trusted blind.
When the file doesn't answer, it says so. When the file contradicts itself, both sides stay cited. The last call is always yours.
General AI generates plausible language. DocketSense AI generates reviewable legal work from the record. The difference is whether every answer is anchored to your evidence — and whether you can defend it under review.
One evidence-grounded AI foundation powers every workflow below — ask it, chronicle it, analyze it, and draft from it.
Every treating provider, expert and records custodian pulled from the file, each backed by the pages that prove it.
Chat over every document in a matter and get answers with citations to the exact page.
Jump from any citation to the single highlighted line it came from — no hunting through the file.
A dated chronology of the matter, with contradictions and unexplained gaps cited to the document and page.
First-draft discovery generated from the facts already on file, in your firm's voice.
Letters and case documents produced from the record and handed to you ready to edit.
Boilerplate like cover letters and authorization forms is filtered out, so it never surfaces as evidence.
Structured extractions tuned to the work. Proven in personal injury; configurable to yours.
Read-only sync so matters are labeled and organized the way your team already works.
Their team uses DocketSense AI to reason across thousands of pages of medical records, build treatment timelines, draft demand letters, and surface gaps and inconsistencies — with every finding traceable to the source page. The AI adapts to the matter; its obligation to cite the record never changes.
DocketSense pulls from your case-management system to organize matters. It never writes back or changes your records.
Case files ground the answers. Client records are never used to train models — public or otherwise.
Because every claim opens to its source, a reviewer can trace any answer back to the page in seconds.
The analysis is configured to your matter type and workflow, not forced into someone else's template.
Bring a real matter. Ask the difficult questions. Inspect every citation. The fastest way to understand DocketSense AI is to see what it knows, what it refuses to invent, and exactly where every answer came from.