Legal document review software built around AI summaries and issue flagging
LitPrep reads every document you collect in a matter, summarizes it, scores it against the issues you told it to watch for, and surfaces the handful of pages that actually change the case. Review, privilege, Bates labeling, and production live in the same workflow, so nothing is exported to a spreadsheet and re-keyed later.
AI summaries
Per-document and per-set summaries so a 90-file production can be understood before anyone opens a PDF.
Issue flagging
Documents are scored against your key issues and flagged as key evidence, follow-up, harmful, or confidential.
Privilege review
Attorney names, emails, and firm domains are matched deterministically, then queued for attorney sign-off.
What document review software has to solve
A discovery set arrives as a mix of PDFs, scanned records, Word and Excel files, and email exports inside ZIP archives. Someone has to open every file, figure out what it is, decide whether it matters, catch anything privileged before it goes out the door, and keep a record of all of it. Done manually, the reading is the bottleneck — not the labeling.
- Mixed and nested file types that have to be expanded before anything can be read.
- Scanned records with no text layer until they are rendered and extracted.
- No fast way to tell which of 2,000 pages touches the issues in the complaint.
- Privileged attorney correspondence buried in quoted email chains.
- Review notes that never make it into the production index.
How review works in LitPrep
Upload the set and state your issues
Drop in PDFs, Office files, images, emails, and ZIP archives. Describe the key issues, sensitivities, and attorney contacts for the matter in plain language.
Expand and extract
Containers and email attachments are expanded into individual documents, natives are rendered, and text is extracted from scanned pages so everything is searchable.
AI summarizes and scores
Each document gets a summary, a document type, key facts, and a score against every issue you listed. Sets get a rolled-up summary of what the batch contains.
Flags route the work
Privileged, key evidence, harmful, confidential, and follow-up flags put documents into the right queue instead of a flat list.
Ask questions across the matter
Ask the matter a question — timelines, abnormal findings, inconsistencies between documents — and get answers with citations that deep-link to the exact page.
Carry it through to production
Bates labeling, family stitching, slip sheets, and an exportable index run on the same reviewed set.
Review features at a glance
Citations that open the page
Every AI answer cites its source, and the citation opens the document at the cited page with the quote highlighted.
Chronology and inconsistencies
Documents are sorted by their primary date into a case chronology, and conflicting statements across documents are surfaced for review.
Family-aware handling
Emails stay attached to their attachments through review, stitching, and production.
Audit trail
Uploads, analysis runs, privilege decisions, and productions are logged per matter and per firm.
Who it is built for
Small and mid-sized US firms handling their own discovery: personal injury and medical malpractice teams working through thousands of pages of records, commercial litigators reviewing email productions, and paralegals who own intake, privilege logs, and Bates numbering. If you are already comfortable with a full-scale e-discovery platform and a dedicated review team, LitPrep is aimed at the tier below that.
See a review pass on your own documents
Bring a real set and watch LitPrep summarize it, score it against your issues, and flag what needs attorney eyes first.
Frequently asked questions
What is legal document review software?
It is software that helps litigation teams organize, read, and analyze the documents collected in a case. A review platform typically handles intake of mixed file types, text extraction, search, issue coding, privilege review, and export of a production set.
How does AI help with document review?
LitPrep summarizes each document and each uploaded set, scores documents against the issues you care about, and flags items as key evidence, follow-up, harmful, confidential, or privileged. Attorneys still make the calls — the AI decides what gets read first.
Can it detect privileged documents?
LitPrep combines deterministic matching on your attorney names, email addresses, and firm domains with AI review of document text and quoted email headers, then routes hits to a privilege review queue for attorney sign-off.
What file types can be reviewed?
PDFs, Word, Excel, PowerPoint, images, and email files including .eml and .msg. Container files such as ZIP archives and email attachments are expanded so each child document is reviewed on its own.
Does review connect to Bates numbering and productions?
Yes. The same matter carries review through Bates labeling, family stitching, slip sheets for natives, and an exportable index, so nothing is re-keyed between review and production.