CounselPro vs ChatGPT
A ChatGPT alternative for the whole record
Discovery arrives as thousands of pages across every account the other side held, in no order at all. CounselPro takes the production as it came, splits it into statement cycles, and reads every one of them in the same pass, with each row keeping the page it was read off.
One production · Every account · Every statement cycle
- Operating checking ····840252412 cycles
- Business card ····722626812 cycles
- Payroll checking ····306719212 cycles
- Merchant deposits ····197515412 cycles
- Personal checking ····489017611 cycles
- Personal card ····2513946 cycles
The operating account’s August cycle was served twice in the production, and counts once.
Personal checking ····4890 has no statement for March. The account and the month are named, so you can ask for it.
What a chat window holds
Put OpenAI's published numbers next to a discovery production and the arithmetic makes the argument. CounselPro takes the production in one go, splits it into statement cycles, and reads all of them in the same pass.
- OpenAI caps a file uploaded to ChatGPT at 512 MB. One scanned statement rarely troubles that. A production served as a single PDF can.
- OpenAI publishes 80 file uploads every three hours, and three a day on the free plan. A production of 66 statement files is a scheduling problem before it is an analysis.
- A custom GPT holds 10 knowledge files for the lifetime of that GPT. Six accounts and a year of cycles do not fit in one.
- OpenAI publishes no single per-plan limit for how much one conversation can hold. It depends on which model your plan gives you, and the plans and models change through the year.
- OpenAI’s own guidance is to treat ChatGPT as a first draft rather than a final source, and to verify quotes, data and technical information. On a figure going in front of a judge, that verification is the work.
Findings that need every account
Money moving between your client’s own accounts
A payment out of the operating account and into a personal one is a transfer only if both statements sit in the same place. Read apart, the same dollar counts as income in one account and as spending in the other. Held together, it is marked internal and counts once.
Cash landing just under the reporting line
Three deposits of $9,400 across eight days, spread over two accounts, is a pattern a trustee reads twice. In one account on its own it is a Tuesday. The report names the pattern and prints the dates it rests on.
The income the deposits actually show
Income computed from deposits across every account, with internal transfers, refunds and loan proceeds taken out, is the figure a support fight turns on, and it is regularly a different number from the one on the schedules.
The account-month still to ask for
A gap exists only against a full account picture. An estate reconstructed from whatever the family kept is read the same way: every account, every month, and the months still to ask for named one by one.
The whole case in one register
A month of the Ashcroft Millwork matter is five or six statement cycles across the operating account, the payroll account, the merchant deposits, the cards and the personal accounts underneath them. Rolled together, it reads as one line. Read apart, there is no line to write.
| Month | Cycles | Money in | Money out | Net |
|---|---|---|---|---|
| January 2024 | 5 | $486,210.00 | $471,884.00 | $14,326.00 |
| February 2024 | 5 | $452,905.00 | $468,330.00 | -$15,425.00 |
| March 2024 | 4 | $511,640.00 | $494,118.00 | $17,522.00 |
| April 2024 | 5 | $498,375.00 | $502,960.00 | -$4,585.00 |
| May 2024 | 5 | $540,820.00 | $519,447.00 | $21,373.00 |
| June 2024 | 5 | $505,190.00 | $498,265.00 | $6,925.00 |
| July 2024 | 6 | $562,430.00 | $588,915.00 | -$26,485.00 |
| August 2024 | 6 | $519,065.00 | $541,720.00 | -$22,655.00 |
| September 2024 | 6 | $488,740.00 | $503,290.00 | -$14,550.00 |
| October 2024 | 6 | $534,915.00 | $549,180.00 | -$14,265.00 |
| November 2024 | 6 | $471,320.00 | $512,655.00 | -$41,335.00 |
| December 2024 | 6 | $553,860.00 | $571,405.00 | -$17,545.00 |
| Twelve months | 65 | $6,125,470.00 | $6,222,169.00 | -$96,699.00 |
Money out ran ahead of money in for eight of the twelve months. March carries four cycles rather than five and says why, so nobody reads that row as a full month. Every figure is computed in a calculator that prints its inputs beside the result, and every row opens the statement page it was read off.
Money moved between the company’s own accounts is marked internal and left out of both columns, so a dollar that crossed from the operating account to a personal one counts once.
How every cycle gets balancedWhich default applies to you
Bank records in a support fight, a trustee’s lookback or a fraud claim belong to the client, and the duty follows them into whatever window you paste them into. ABA Rule 1.6 and Formal Opinion 512 ask you to weigh where a client’s information goes before it goes there, and to get informed consent when the risk calls for it. With a chat product, the weighing starts with which plan the file went into.
How the data is held- A personal plan shares by default
- OpenAI publishes that on Free, Plus and Pro in a personal workspace, data sharing is on by default, and that you can opt out under Settings and Data Controls.
- A business plan runs the other way
- OpenAI publishes that ChatGPT Business, Enterprise, Edu and the API do not use inputs and outputs to train models by default. A standard business seat is priced per user per month.
- CounselPro puts it in the agreement
- Documents are encrypted on the way in and while they sit with us, the infrastructure underneath is checked by outside auditors, and no client document, figure or export trains a model. The agreements we sign say so.
Feature by feature
ChatGPT is a product of OpenAI. Its plans, prices, limits and data settings here are OpenAI's own published figures, checked on 3 September 2026.
| Capability | CounselPro | ChatGPT |
|---|---|---|
| Taking in a production | ||
| Bank and credit card statements, scans included | Included | Included |
| One PDF split into its statement cycles | Every cycle separated out and read on its own | Read as the file you attached |
| How much goes in at once | The production as it arrived | 512 MB a file, 80 uploads every three hours |
| Check images kept as their own record | Included | Read in the conversation with the rest |
| Investment and retirement statements | Q4 2026 | Reads the PDF |
| Holding the whole case | ||
| Where the matter lives between sessions | A workspace the whole team opens | A conversation, plus what memory saved |
| A figure rolled up across every account | Included | Whatever is in the conversation |
| The same cycle served twice, counted once | Included | Not in this model |
| Account-months still to ask for, named | Included | Not in this model |
| Transfers between your client’s own accounts | Marked internal and counted once | Read as two ordinary rows |
| Standing behind a figure | ||
| Every cycle balanced to its printed totals | Included | Not in this model |
| How a sum is worked out | Computed in a calculator, inputs printed | Reasoned inside the answer |
| Open the source page beside the figure | Included | Not in this model |
| A schedule and a report you can file | Included | Prose you format yourself |
| The analysis | ||
| Plain-English questions about the records | Included | Included |
| Flow of funds drawn, and exported as a file | Included | Described in the answer |
| Hidden assets, structuring, income diversion, lifestyle | Named sections of the report | Whatever you think to ask for |
| Drafting, research and general legal writing | Financial records only | Included |
| Tax returns, spreadsheets and photographs | Bank, card and check statements | Included |
| Confidentiality | ||
| What happens to the documents you send | Read to run your matter, never used to train a model | Personal plans share by default, with an opt-out in the settings |
| The default on a business plan | The same on every plan | Business and Enterprise are not used for training |
| Infrastructure checked by outside auditors | Included | Included |
CounselPro vs ChatGPT questions, answered
- Can ChatGPT analyze bank statements?
- It can read one. Paste a single statement into ChatGPT and it will pull the transactions out and reason about them, and on one month it does that well. A matter is not one month. A discovery production is a year or more of cycles across every account the other side held, and the work is splitting all of it into statements, measuring each cycle against the totals the bank printed, and keeping a link from every row back to the page it came off. That is what CounselPro does with the production as it arrived.
- How many bank statements can you upload to ChatGPT at once?
- OpenAI publishes a 512 MB cap on any single file, 80 file uploads every three hours, three uploads a day on the free plan, and 10 knowledge files for the lifetime of a custom GPT. It publishes no single per-plan limit for how much one conversation can hold, because that depends on which model your plan gives you. A production of 66 statement files against those numbers is a scheduling exercise. CounselPro takes the production in one go and reads every cycle in the same pass.
- Is it safe to upload client bank statements to ChatGPT?
- That is your call to make under ABA Rule 1.6 and Formal Opinion 512, which asks you to weigh where a client’s information goes before it goes there, and to get informed consent when the risk calls for it. Two published facts are worth having first. OpenAI says that on Free, Plus and Pro in a personal workspace, data sharing is on by default, with an opt-out in the settings. It says that on ChatGPT Business, Enterprise, Edu and the API, inputs and outputs are not used to train models by default. So the answer for a firm depends on which plan the file went into. With CounselPro the documents are encrypted, the infrastructure is independently audited, and no client record trains a model.
- Why does ChatGPT give a different total each time you ask?
- A chat answer is generated fresh each time, and what the model has in front of it changes with what you pasted and how long the conversation has run. CounselPro pins the numbers to the record instead. Every statement cycle is balanced to its own printed opening and closing totals, every sum runs in a calculator that prints its inputs beside the result, and a figure the records cannot support is left open and flagged for you. The bank’s own printed totals settle the answer, so it reads the same on Monday and on Thursday.
- When is ChatGPT the better tool?
- Whenever the work is writing and thinking rather than counting. Drafting a motion, working an argument through, summarizing a deposition, reading one statement to get your bearings: ChatGPT is good at all of it and CounselPro does none of it. Reach for CounselPro when a number has to survive the other side reading it.
Send the whole production
Take the dump exactly as the other side served it, accounts interleaved and months out of order, and send all of it at once. What comes back names every account, every statement cycle, and every month you are still waiting on.
Your first matter, free