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How to Extract Tax Data and Draft Memos in Minutes

Tax data extraction and memo drafting eat up more professional hours than almost any other part of an engagement. The workflow is always the same: pulling numbers from client documents, cross-referencing against prior-year returns, researching each issue separately, verifying citations, and writing the whole thing up from scratch.


For a moderately complex client, that process takes anywhere from four to ten hours. Multiply that across your entire roster during busy season, and the math gets ugly fast.


It does not have to work that way. The right AI tool compresses that entire pipeline into minutes, from raw client documents to a citation-backed research memo grounded in actual primary authority. Not the kind of AI output where you spend another hour on Google making sure it did not fabricate a Revenue Ruling.


This tutorial walks through two methods for doing exactly that using Bizora's AI Assistant and Vault. Both work whether you are a solo practitioner reclaiming billable hours or a firm looking to streamline how your team handles research.


Key Takeaways

  • A standard tax research memo follows five sections: Facts, Issues, Authorities, Analysis, and Conclusion.

  • Bizora's AI Assistant extracts client data and drafts a full citation-backed memo in one conversation.

  • The Vault runs batch extractions across up to 100 client files at once, producing structured data tables.

  • The traditional 4-to-10-hour memo process compresses to roughly 30 to 60 minutes with AI.

  • Every citation Bizora generates is traceable to primary authority (IRC sections, Treasury Regulations, case law).

  • You can make both the AI assistant and Vault work together and use them individually.


What Should a Tax Research Memo Include?

Before jumping into the workflow, here is what the end product looks like. A well-structured tax research memo follows a consistent format that holds up if the position is ever questioned. Partners expect it during review, the IRS expects it if they audit the position, and opposing counsel expects it if things go sideways.


The standard format has five sections:

  • Facts: The relevant client data and circumstances: who the taxpayer is, what transactions occurred, what numbers are involved, and what filing positions are at issue. Getting a number wrong here means the entire analysis is built on a faulty premise, so accuracy in this section drives the reliability of everything that follows.

  • Issues: The specific tax questions raised by those facts, framed precisely enough that each one can be researched independently. "Does the licensing revenue qualify as a non-SSTB activity under Section 199A?" is a researchable issue. "What are the tax implications?" is not. Isolating each question keeps the analysis focused and makes the conclusion traceable to a specific problem.

  • Authorities: The applicable law: IRC sections, Treasury Regulations, Revenue Rulings, IRS Notices, and relevant case law. A memo that references "general tax principles" or cites a blog post will not survive scrutiny. This section should read like a bibliography of primary sources a reviewer can independently verify.

  • Analysis: Where authority meets facts. Strong analysis walks through how the client's particular situation satisfies or fails each element of the applicable standard rather than restating the rule in general terms. When the answer is not clear-cut, this section acknowledges the gray area and explains why the recommended position is defensible.

  • Conclusion: The recommended position, the estimated tax impact where quantifiable, action items for the client or engagement team, and any conditions that could change the outcome.


Producing a memo like this through the traditional approach of researching each issue independently, finding and verifying citations, and writing the analysis can take two to six hours depending on complexity. The AI-assisted approach below compresses that significantly.


How to Extract Tax Data and Draft Memos with Bizora

Bizora handles this workflow through two tools, each suited to a different situation.


  • The AI Assistant is conversational. Upload a client's tax documents, prompt it to extract data and identify issues, then prompt it to draft a full research memo with inline citations. This is the right path when working through a single client engagement and producing a complete memo is the goal.


  • The Vault produces structured data tables instead. Upload documents to a project folder, write a query, and Bizora generates a table with categorized columns across all uploaded files. This is the better option when batch-processing multiple clients or when the extracted data itself is the deliverable rather than a narrative memo.


If you are comparing tools for this kind of workflow, we put together a detailed comparison of AI tools for drafting tax research memo that covers citation quality, pricing, and output differences across seven platforms.


Here is how each method works.


Method 1: Using the AI Assistant

Step 1: Log In and Open the AI Assistant

After logging into Bizora, the main dashboard shows two primary tools in the top navigation: AI Assistant and Vault. Select the AI Assistant.


The interface includes a prompt bar at the bottom, a Tips panel with prompt guidance, and a Suggestions panel with common tax research questions. Conversation history appears on the left sidebar.

Bizora dashboard showing AI Assistant view with Tips, Suggestions, and prompt bar

Step 2: Upload Client Tax Documents

Click the + button next to the prompt bar to open the upload menu with four options:

  • Upload files: browse from your computer or drag and drop

  • Add from Vault: pull documents already stored in Bizora's Vault

  • Xero: import directly from a connected Xero account

  • Recent: quickly access documents from previous sessions


For most engagements, uploading directly or pulling from the Vault covers what is needed.

Upload menu on Bizora showing Upload files, Add from Vault, Xero, and Recent options

Pro tip: For repeat clients, upload their documents to the Vault once. Any future AI Assistant session can pull them in without re-uploading.


Step 3: Extract and Organize the Client Data

With the document uploaded, prompt Bizora to pull the relevant information and organize it by category.


Example prompt for a married-filing-jointly client with multiple income sources:

"Review the attached client tax data package for Marcus and Elena Vasquez (TY2025, MFJ). Extract and summarize all key taxpayer information, income sources, deductions, and relevant financial data. Organize the summary by category (personal info, W-2 income, S-Corp/K-1, investments, rental property, foreign accounts, deductions, estimated payments). Flag any areas where the data raises potential tax research issues."

Bizora's extraction output showing categorized data with numbered citation markers

Within seconds, Bizora scans the document, pulls out the relevant figures, and organizes them by category. It also identifies tax issues that need attention. 


From a single client data package, the extraction might flag:

  • Section 199A SSTB classification and the de minimis threshold question

  • Wash-sale disallowance on stock sales with repurchases within 30 days

  • Crypto staking reward characterization and DeFi yield reporting

  • FBAR and FATCA filing obligations based on aggregate foreign account values

  • Cost segregation catch-up method under Section 481(a)

  • Multi-state estimated payment allocation issues


Every data point comes with a citation marker traceable to the source document. Review the extraction, confirm the numbers are accurate, and move on.


Step 4: Draft the Research Memo

Because the extraction already happened in the same conversation, Bizora has the full client context. Nothing needs to be re-explained.


Here is the prompt:

"Based on the client data you just extracted, draft a comprehensive tax research memorandum for Marcus and Elena Vasquez (TY2025). For each issue you identified, provide: a clear statement of the issue, the relevant facts from the client data, applicable law (IRC sections, Treasury Regulations, IRS guidance, case law), full citations to primary authority, your analysis applying the law to the facts, and a conclusion with a recommended position. Use standard tax memo format (Issue / Facts / Law / Analysis / Conclusion) for each issue. Cover all material tax issues present in the data."


Bizora generates the memo in standard format for each issue, with citations referencing actual IRC sections, Treasury Regulations, Revenue Procedures, and case law. Every citation is traceable, and the reasoning chain behind each conclusion is visible within the platform.

Bizora's generated memo showing Issue/Facts/Law/Analysis/Conclusion format with inline citations

Step 5: Drill Into Specific Issues (Optional)

The initial memo covers all material issues at solid analytical depth. When a particular issue warrants deeper treatment, a follow-up prompt expands the analysis without starting over.

Example prompt for a deep-dive:


"Expand your analysis on the Section 199A SSTB disaggregation issue. Marcus's S-Corp earned $412,800 in ordinary income from management consulting, but $68,400 of that came from licensing proprietary frameworks and training materials sold separately. Analyze whether this licensing revenue can be carved out as a non-SSTB activity under Reg. 1.199A-5(c)(2). Include the de minimis threshold analysis and cite all relevant authority."


Bizora pulls in additional regulatory detail, relevant thresholds, and deeper case law references. Because the full client context is already loaded, the expanded analysis ties directly back to the client's actual numbers.


Step 6: Generate a Client-Friendly Summary (Optional)

When you need to send your findings to the client in plain language, input a prompt like:

"Create a 1-page client-facing summary letter for Marcus and Elena Vasquez that explains the key findings in plain language. Focus on action items and estimated tax impact of each issue. Keep it professional but accessible. No IRC section numbers in the client letter."


The output is a clean, professional summary covering key findings and action items. Copy it, paste it into your letterhead, send.


Method 2: Using the Vault

The Vault produces structured data tables instead of narrative memos. This is the faster path when processing multiple client files simultaneously or when extracted data needs to be organized into specific categories rather than written up as analysis.


1. Create a New Project

Navigate to the Vault from the top navigation bar. 

Bizora's Vault main page showing Your Projects with Create New Project button

Click Create New Project, name it (for example, "Vasquez_Client_Tax_Data"), and hit Submit.

Project Details dialog with Project Name field

Each project functions as a dedicated folder for a client engagement, with capacity for up to 100 files.


2. Upload Documents

Inside the project, upload tax documents by dragging and dropping files or using the Upload file button. Folders can be created within the project to organize by entity, year, or category.

Empty project page showing upload area and Create Folder option

3. Write the Query

Type the extraction query into the query box at the top of the project page.

Important: The query box has a 255-character limit. 


Here is an example that fits:

"Review the client tax data package. Extract and summarize all key taxpayer information, income sources, deductions, and relevant financial data. Organize the summary and flag any areas where the data raises potential tax research issues."

Project page showing uploaded file and query box with character counter

A character counter next to the query box tracks the length. If the first prompt runs over, tighten the language until it fits.


4. Create a Table

After submitting the query, Bizora presents a Table Preview dialog. Click Create new Table

Table Preview dialog with Create new Table option

Then select which files to run the query against. Individual files can be selected, or Select All processes everything in the project.


5. Review and Edit the Column Questions

Based on the query, Bizora automatically generates column questions that define what data gets extracted. Each column becomes a category in the output table.


For a tax data extraction query, Bizora might generate columns like:

  • Taxpayer Info: personal details, SSNs, addresses, filing status, dependents

  • Employment & Business Income: W-2 wages, S-Corp income, business classifications

  • Investment & Rental Income: capital transactions, rental activity amounts

  • Deductions & Expenses: charitable contributions, home office, education

  • Payments & Allocations: estimated payments, withholdings, multi-state allocations

  • Research Issues: items that raise potential tax research questions or require further analysis


Columns can be added (up to 20 total), edited, or deleted. Each column question tells Bizora exactly what to look for in the documents.

Edit Questions dialog showing auto-generated columns with edit, delete, and Add Column options

6. Generate and Review the Table

Click Done to confirm the columns, then Create Table in the Table Preview. 

Table preview for the query on Bizora with options to go back or create table

Wait for a while as Bizora processes the files and generates a structured table with one row per document and one column per question.

Bizora generating the table with the extracted data

Once it’s done generating, click on the table file. From here, you’ll see that each cell contains the extracted information for that category and file.

Generated table showing columns for File, Taxpayer Info, Employment & Business Income, Investment & Rental Income, Deductions & Expenses, Payments & Allocations

Note: Unlike the AI Assistant, which processes one document per conversation, the Vault runs the same query across multiple client files at once. Upload ten client packages to a project, run one query, and get a table with ten rows of extracted data. That is where the Vault saves the most time for firms managing high volumes.


When to Use Each Method for Data Extraction and Memo Drafting in Bizora

If you’re not sure of which method to use, here’s a side-by-side comparison to help you decide quickly.

Feature

AI Assistant (Method 1)

Vault (Method 2)

Best for

Single-client deep research and memo drafting

Batch extraction across multiple files

Output format

Conversational narrative with inline citations

Structured data table with categorized columns

Memo drafting

Yes, full Issue / Facts / Law / Analysis / Conclusion format

No (use for extraction, then AI Assistant for memo drafting)

File limit

Upload per conversation

Up to 100 files per project

Query limit

No character limit on prompts

255-character limit per query

Ideal scenario

“I need a complete research memo for this client by tomorrow.”

“I need to pull key data from 15 client packages before the team meeting.”

Both methods work together. You use the Vault to batch-extract data across all clients, then open the AI Assistant and pull specific documents from the Vault to draft individual research memos.


Stop Spending Hours on What Should Take Minutes

No need to talk too much because you already know the math of how long it takes to extract data and draft memos. A moderately complex client burns four to ten hours of research and memo drafting through the traditional workflow. During busy season, that adds up across every engagement on your desk.


The workflow above takes that same process and compresses it into a fraction of the time. All you need to do is to upload a client's documents. With that, Bizora will extract the data, identify the issues, and generate a citation-backed research memo without toggling between three different tools or writing from scratch in Word.


Every citation is traceable. Every conclusion shows the reasoning behind it. And when a partner or the IRS asks how you arrived at a position, the work product holds up.


Try Bizora free. No credit card required.



FAQ: Tax Data Extraction and Memo Drafting

What should a tax research memo include?

A standard tax research memo has five sections: Facts (the client's relevant circumstances), Issues (the specific tax questions), Authorities (applicable IRC sections, regulations, and case law), Analysis (how the law applies to the facts), and Conclusion (your recommended position and action items).


Can AI write a tax research memo?

Yes. Purpose-built AI tax research tools can generate structured memos with citations to primary authority. The key distinction is between general AI tools (which may hallucinate citations) and specialized tools like Bizora that ground every answer in traceable, verifiable sources.


How long does it take to draft a tax memo with AI?

With an AI-assisted workflow, the full process from document upload to a citation-backed draft memo takes roughly 10 to 30 minutes depending on complexity. The traditional manual process typically takes 4 to 10 hours.


What tax documents can be processed with AI extraction?

Most AI extraction tools can process W-2s, 1099 variants, K-1s, IRS Form 1040, 1120, 1065, Schedule C, brokerage statements, rental property records, and foreign account disclosures. Bizora accepts uploaded PDFs and document files directly.


Is AI-generated tax research reliable?

It depends on the tool. General-purpose AI models frequently hallucinate citations and fabricate authority. Specialized AI tax research platforms like Bizora cite actual IRC sections, Treasury Regulations, and case law with traceable references.


Do I still need to review AI-generated tax memos?

Yes. AI accelerates the drafting process, but professional judgment remains essential. Review the extracted data for accuracy, verify key citations, and apply your own analysis before relying on any AI-generated work product.


Can the Vault process multiple client files at once?

Yes. Up to 100 files per project, and a single query runs across all of them. Bizora generates a table with one row per file and columns for each data category.

 
 
 

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