What's great
Why is this fantastic?
As a professional, I've found Lexalazer to be a document analysis solution that significantly increases the efficiency of previously time-consuming tasks.
The platform transforms hours of reading into seconds of comprehension when processing contracts, petitions, reports, or deeds—identifying names, dates, amounts, and organizations almost instantly.
For legal, real estate, or audit teams, Lexalazer reduces the risks associated with manual review, freeing up resources for higher-value strategic activities.
Furthermore, the freemium model allows you to get started without a credit card, making testing and adoption easier.
Summary: Increased productivity, reduced margin of error, and rapid implementation—key features that make Lexalazer a true tool for professionals dealing with structured and complex documents.
vs Alternatives
I've tried several document analysis tools, but most of them are just glorified search functions or far too complex for daily use. Lexalazer struck the perfect balance.
What won me over was its speed and, more importantly, its comprehension. The AI-generated summaries are accurate and save me hours of reading time on dense contracts. It doesn't just find keywords; it extracts meaningful data like all the people, organizations, and monetary values involved, which is critical for my work as a consultant.
The killer feature, though, is the Chat with Document function. Being able to upload a 50-page report and just ask, "What are the key action items?" or "What is the payment schedule?" and get an instant, correct answer is a total game-changer.
The Pro features like Document Comparison and Collaborative Workspaces are also incredibly powerful for my team. It's a clean, fast, and powerful tool that delivers on its promise.
Can it handle scanned PDFs and handwriting?
Currently, Lexalazer processes native (text-based) PDFs, DOCX, and TXT files. Our text extraction method reads the embedded text within the file, so it does not support scanned (image-based) or handwritten documents at this time.
What file formats and sizes are supported?
We currently support PDF, DOCX, and TXT file formats.
Regarding size, while there isn't a strict file upload limit, the AI analysis is performed on the first 30,000 characters of the extracted text. The document comparison feature uses the first 8,000 characters of each file.
How is client data encrypted and stored?
We use SSL encryption for all data in transit. Document data and analysis results are stored in Google's Firebase Firestore, which provides automatic encryption at rest. User documents are associated with their specific user or workspace ID and are not shared.