WH206 — Smith v. Acme
Personal injury
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Ask LitPrep
LitPrep helps litigation teams upload, organize, Bates label, summarize, and search large document sets — so staff spend less time preparing files and more time supporting the case.
Manual document prep slows down the whole case.
Thousands of pages can take staff days or weeks to sort, rename, summarize, and prepare.
Document logs, source tracking, Bates ranges, and production notes often live in spreadsheets.
Important records can be buried across medical files, emails, PDFs, and native documents.
Legal assistants spend valuable time doing repetitive prep work that software can accelerate.
The workflow
Add PDFs, Word files, Excel files, images, emails, and other supported case materials.
Capture source, custodian, case issues, Bates settings, and what you want LitPrep to look for.
LitPrep generates logs, summaries, flags, Bates labels, slip sheets, and searchable matter records.
Export logs, review flagged documents, ask questions, and prepare materials for your case.
Free your staff from repetitive document prep.
LitPrep handles the heavy lifting so your team can focus on what matters most — your case.
AI-assisted, human-reviewed.
LitPrep uses AI to summarize, flag, and search documents, but attorneys and staff remain in control. Every output should be reviewed before use in a legal matter.
AI helps accelerate review but does not replace attorney analysis.
Users tell LitPrep what the case is about before processing begins.
AI results point you back to the underlying documents.
Prompts, fields, workflows, and reports can be adjusted as you work.
No. LitPrep is an AI-assisted document preparation platform. It helps organize, summarize, label, and surface documents, but attorneys and legal staff remain responsible for reviewing outputs and making legal decisions.
Document intake, source tracking, Bates labeling, slip sheets, document logs, AI summaries, issue flagging, matter search, and production tracking.
Yes. LitPrep is designed to help legal teams process large document sets, but final performance and cost depend on file size, page count, OCR needs, AI usage, and storage requirements.
AI processing is usage-based. Current planning expectations are approximately $0.05 per page processed for standard workflows, but actual costs may vary after testing with real document sets.
PDFs, Word, Excel, PowerPoint, common email formats, and images. Files that cannot be Bates labeled directly are handled with native slip sheets.
Not in the standard scope. Video processing, transcription, surveillance review, deposition video analysis, and AI analysis of video files require separate scoping.