Apps List
I use AI to create apps to perform various tasks more efficiently, i.e. better and faster. Here is a partial list of those apps as of February 2026:
| Admit or Deny by WWM | Extracts allegations from complaints and generates admit/deny response documents. Input: PDF complaint. Output: Excel checklist + Word response. |
| Ask a Question by WWM | Asks the same question across multiple documents and compiles answers. Example: Did Smith tell Jones to stop work on the pipeline? If so, when, and in what document? Use it to find answers to focused questions, rather than to generate summaries. Input: Spreadsheet with file paths + prompt. Output: CSV with answers. |
| Authority Linker by WWM | Creates hyperlinked Table of Authorities from legal briefs. Input: Word or PDF documents. Output: Word TOA with live links. |
| Bates Stamper by WWM | Select all the files you're going to produce, including not just PDFs but also Word, Excel and email files. The app gives you a Bates-numbered PDF for each file, and includes the Bates prefix and number range in the name of each file. Plus, the files in non-PDF formats (e.g., Excel) have their file names changed to conform to the PDF versions, so it's always easy to find the original. And get this: if the emails have attachments, each one is set forth as a separate PDF, with .01, .02 etc. added to the file name, and consecutively numbered with the email! |
| Budget Export to Excel by WWM | Takes complicated Filemaker budget export and converts it into user-friendly version for client in Excel |
| Chron Miner by WWM | Extracts dates and events from documents to create chronologies. Input: spreadsheet with file paths to documents that need mining; and, if applicable, spreadsheet with current chronology. The app will mine the new documents for events; eliminate any that duplicate events in the existing chronology; make sure each event is supported with citations and links to the supporting files, along with page numbers; and deduplicate entries so that each event appears only once. |
| Click This by WWM | Downloads all files linked in email messages. Input: EML/MSG email files. Output: Downloaded files. |
| Client Fills in the Blanks by WWM | This is to facilitate the preparation of discovery responses, but you could use it for any document for which you need client input. You start by selecting an Excel spreadsheet, which has blanks for the information needed from the client. The app then creates a fillable PDF from the Excel spreadsheet, which you send to the client for input. When the client returns the PDF, the app extracts the answers and fills in the spreadsheet accordingly. You can then use the spreadsheet, and Filemaker, to generate a finished document. |
| Create PDF Versions by WWM | Pick any files -- emails, pictures and even movies -- either individually or by providing a speadsheet of file names and paths, and the app will then create a PDF version of each. Plus, for emails with attachments, you can do the following: 1. Create separate PDFs for attachments with sub-numbers (e.g., .01, .02) 2. Create separate a PDF containing the email and its attachments, with " - WITH ATTACHMENTS" added to file name. 3. Save attachments in subfolders, with same name as email file, in original format with original file names. |
| Create Text Versions by WWM | Pick any files -- emails, pictures and even movies -- either individually or by providing a speadsheet of file names and paths, and the app will then create a text (.txt) version of each. |
| De-Duplicator by WWM | If you have a chronology with redundant entries, export the notes from Filemaker, run this app, and it will then consolidate the notes and their supporting files. Then re-import them into Filemaker, while deleting the redundant notes that did not make the cut. |
| Depo Dates: Depo Calendar by WWM | You give it a bunch of depo notices, it gives you a spreadsheet calendar laying out who is taking whose depo, when and where. |
| Depo Text: Depo Magic by WWM | AI analysis of depositions creating topic-organized summaries. Input: Deposition PDFs. Output: Word summaries + Excel data. |
| Depo Text: Depo to Spreadsheet by WWM | Converts deposition transcripts to structured Excel with Page/Line/Text. Input: TXT transcript. Output: Excel spreadsheet. |
| Depo Text: Needle in a Depo by WWM | Finds specific testimony passages in deposition transcripts. Input: Deposition PDFs + search topics. Output: Excel with citations. |
| Depo Video 1: Read My Lips by WWM | Synchronizes deposition video with transcript using AI. Input: Video + TXT transcript. Output: Excel timestamps + SRT subtitles. |
| Depo Video 2: Clip It Good by WWM | Creates video clips and PDF excerpts from deposition transcripts. Input: Spreadsheet + video + PDF. Output: Video clips + highlighted PDFs. |
| Depo Video 3: Cut to the Chase by WWM | Video player for verifying and adjusting deposition timestamps. Input: Video + clip spreadsheet. Output: Corrected timestamps. |
| Discovery Analyzer by WWM | Creates structured tables from discovery documents. Input: Spreadsheet with file paths. Output: CSV tables. |
| Document Analyzer by WWM | Analyzes documents and provides one answer per document based on prompt. Input: Spreadsheet with file paths + prompt. Output: CSV with answers. |
| Document Review and Tagging by WWM | You select documents, then select the tags to be applied to the documents. The tags are associated with descriptions of categories of documents (e.g., letters from x to y about z), and can even include actual document requests from the case. If the tags use defined terms, you include those, too. The app converts the text of the document and tag criteria into vectors, and uses AI to determine which documents fit which categories. If a document fits a category, it is tagged accordingly. Turn weeks of work into minutes courtesy of AI. |
| Document Summarizer by WWM | Creates executive summaries of documents. Input: Spreadsheet with file paths. Output: Summaries. |
| Email Addresses vs. Names by WWM | Paste a bunch of text with email names and addressess, and, presto change-o, you get a list of names, and a list of email addresses. You even get a spreadsheet showing which names go with which addresses! |
| Email Miner by WWM | Extracts metadata from email files (no conversion). Input: EML/MSG files. Output: Excel with metadata You get sender / from, to, cc, subject, date, time, body and attachments list! |
| Email Monster by WWM | You pick email files, either individually or with a spreadsheet of file names and paths, and the app will: 1. Rename each file based on the exact date and time that the was sent. 2. Create PDF and text versions with the same names. 3. Extract and save the attachments as separate files in their original format with their original names, in a subfolder with the same name as the corresponding email. 4. Extract the contents of the email fields (sender, date, subject, body, etc.) and save them in a spreadsheet which includes the old and new names of the email files, and their file paths. 5. If you choose, it will also generate PDFs of the attachments and save them with the same name as the email, but with sub-numbers (e.g., .01, .02, etc.). 4. Create PDF and text versions of the attachments. |
| Email PDF Miner by WWM | Extracts metadata from emails that have been converted to PDF. Input: Spreadsheet with PDF paths. Output: CSV with metadata. You get sender / from, to, cc, subject, date, time, body and attachments list! |
| Exhibit Extractor by WWM | Separates court filings into main document and individual exhibits. Input: PDF files. Output: Separated PDFs. |
| Exhibit List Description by WWM | Sometimes, you just need a terse description of a document, or maybe 100,000 documents. This app gives you a description that's good enough for an exhibit list (e.g., Letter from Jones to Smith on x date). To minimize cost and maximize speed, it uses a relatively simple AI model to "judge a book by its cover." You can select individual files or give it a giant spreadsheet that has file names and file paths. You get back a spreadsheet with dates and descriptions. |
| Exhibit Stamper by WWM | You pick files, whether individually or through a spreadsheet of file names and paths, and the app adds an exhibit stamp to every page of every document, and provides a spreadsheet listing the documents by their exhibit numbers. Options: 1. Generate versions with permanent or moveable stamps, or both. 2. Add a prefix to each file with the exhibit name and number. 3. Extract the exhibit number to be used from the file name, even if it has a sub-number (e.g., Ex. 7.pdf is Ex. 7, and Ex. 7.01.pdf is Ex. 7.1), which is good for emails and attachments that have been exported as separate but consecutively numbered files. |
| File Finder Using AI by WWM | Searches documents using AI vector embeddings to find relevant content. Input: Spreadsheet with file paths. Output: CSV with search results. MORE DETAIL, FROM CLAUDE: Looking at the app and its description, here's what AI Vector Monster does: ## The Problem It Solves When you have thousands of litigation documents and need to find relevant ones, you have two bad options: 1. **Keyword search** - Misses documents that use different words for the same concept (e.g., searching "fired" won't find "terminated" or "let go") 2. **Read everything** - Impossibly slow and expensive ## What AI Vector Monster Does It uses **semantic search** - meaning it understands *concepts*, not just words. **Step 1 - Embed (one-time setup):** - Feed it your documents via a spreadsheet - It converts each document into "vectors" (mathematical representations of meaning) - Stores them locally in a database on your Mac **Step 2 - Search (instant, unlimited, FREE):** - Type a concept like "plaintiff complained about unsafe working conditions" - It finds documents that *mean* similar things, even if they use completely different words - Returns results ranked by relevance with the actual matching passages ## Why It's Efficient - **OpenAI embedding is cheap** - pennies per document (one-time cost) - **Searches are FREE** - once embedded, you search locally, no API calls - **Parent-Child chunking** - searches small chunks for precision, returns larger chunks for context (that "70% better accuracy" mentioned in the code) ## Typical Use Case You receive 5,000 documents in discovery. Embed them once (~$5-10). Then search unlimited times for things like: - "discussions about the merger" - "safety concerns raised by employees" - "communications with the board" Does that ring a bell? |
| File Renamer by WWM | Renames files with three options: add creation date, AI-generated name from content, add page count. Input: Any files or spreadsheet. Output: Renamed files + Excel log. |
| Hyperlink This Memo by WWM | Adds hyperlinks to case citations within a legal memo. Input: Word document. Output: Hyperlinked Word document. |
| ICS Viewer by WWM | So cool! Lets you scroll through all the .ics calendar files in a given folder, and instantly see all the information for each meeting, including who was invited. But wait! There's more! You can also use it to generate a chronology. Select a bunch of .ics files or import a list using a spreadsheet, and it will generate a chronlogy for you, without even having to use AI. There is discovery gold buried in .ics files. Mine it with this app. |
| Mega Miner by WWM | Universal document analyzer handling emails, documents, and images. Input: Spreadsheet with file paths. Output: CSV with analysis. |
| Page Counter by WWM | Give this app a spreadsheet list of documents, or pick documents individually, and it will tell you, in a heartbeat and a spreadsheet, how many pages are in each file, and the total pages for all the documents. Wow. |
| PDF Bookmarker | |
| PDF Deconstructor by WWM | Separates large PDFs into individual documents. Input: Single large PDF. Output: Separated PDFs + Excel tracking. |
| PDF Meta Miner by WWM | Extracts PDF metadata: bookmarks, comments, author, dates. Input: PDF files or spreadsheet. Output: Excel with metadata. |
| PDF Page Fixer by WWM | Rotates PDF pages to correct orientation. Input: Files, folders, or spreadsheet. Output: Corrected PDFs + Excel log. |
| PDF Shrinker by WWM | Compresses PDF files to reduce size. Input: PDF files. Output: Compressed PDFs. |
| Pictures - Correction: Heads Up by WWM | Rotates photos to correct orientation using AI. Input: Files, folders, or spreadsheet. Output: Corrected images + Excel log. |
| Pictures - Descriptions: Picture Miner by WWM | AI analysis of photos for litigation descriptions. Input: Spreadsheet with image paths. Output: CSV with descriptions. Claude describes it, and contrasts it with another program of mine: Picture Miner (1,453 lines) — "Describe what's in these files" This is a batch litigation tool. It reads file paths from a spreadsheet (your FileMaker export), sends each image/PDF/video to Claude, and gets back a brief description, any visible dates, and a summary. Output goes to CSV for FileMaker import. Read This Photo (597 lines) — "OCR this — give me the text" This is an OCR tool. You point it at photos of documents (think: a photo of a letter, a whiteboard, a handwritten note), and it extracts the actual text content, preserving layout. Output is a Word document or plain text file. |
| Pictures - OCR: Read This Photo by WWM | Extracts text from photos using AI vision (OCR). Input: Image files. Output: Word document or text file. Read This Photo (597 lines) — "OCR this — give me the text" This is an OCR tool. You point it at photos of documents (think: a photo of a letter, a whiteboard, a handwritten note), and it extracts the actual text content, preserving layout. Output is a Word document or plain text file. Picture Miner (1,453 lines) — "Describe what's in these files" This is a batch litigation tool. It reads file paths from a spreadsheet (your FileMaker export), sends each image/PDF/video to Claude, and gets back a brief description, any visible dates, and a summary. Output goes to CSV for FileMaker import. |
| Pleading Paper by WWM | Adds pleading paper lines and numbers to any PDF. Lets user adjust margins, and line height for numbers. Good for exported PDFs from Filemaker Pro. |
| Privilege Redactor by WWM | You give the app PDFs of invoices or Excels with time entries, and it looks for and redacts the privileged parts. The app also gives you a spreadsheet laying out, entry by entry, the "before" and "after" so you can see what it redacted. Note: you of course want to review all entries to ensure that it did not miss any privileged items. |
| Proofreader by WWM | Next-level proofreading, beyond spell check and grammar check. Examples: failure to use defined terms, referring to a given exhibit with two different descriptions, etc. |
| Remove First Page by WWM | Removes first page from PDFs (batch processing). Input: PDF files. Output: Modified PDFs. |
| ROA Finder by WWM | Matches PDF files to Register of Actions entries using AI. Input: Excel ROA + folder of PDFs. Output: Updated Excel with matches. |
| Spreadsheet Makeover by WWM | Makes Excel spreadsheets pretty and functional. Turns top row into a header; adds filters; right-sizes columns; wraps text. |
| Text Message Summarizer by WWM | Summarizes text messages. |
| Timesheet Redactor by WWM | AI-powered redaction of privileged info from timesheets. Input: Excel timesheet. Output: Redacted Excel. |
| Who's Who by WWM | You give the app a bunch of files, and it gives you a de-duplicated list of individuals and companies, along with email addresses, telephone numbers, websites, mailing addresses, titles, aka's and even notes about each individual or company -- all in a fraction of the time and at a fraction of the cost that it would take humans to complete the same work. |