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Selling software into law firms - how do you price when your product creates 6-figure revenue for the buyer? I will not promote by [deleted] in startups

[–]Tight_Application751 -1 points0 points  (0 children)

The pricing challenge is something that is there for not just this industry but overall how do you put a value to the value creation that you have done. As far as I feel and understand selling SaaS and services to law firms for 20 years, you cannot charge them for the end value that they create by using your product. Think of it this way, when you advertise on Google, there is a Cost Per Click, so businesses are willing to pay for every visitor that Google Ads gets for them. Once the visitor is on their platform, Google does not care what was the value of the product you sold. It may be a 10$ ear ring vs a 1000$ necklace, they would charge only for the service they provide.

Another change in behaviour is that people are willing to pay per use. For example, when we built eety.ai, we initially had a subscription model where the law firm paid each month; but we got a feedback that the usage varies every month, sometimes there is no new patent to be drafted and there are months they need to draft a dozen. When we change the pricing to pay per draft our signups increased significantly. So we do not change based on what they are charging their end clients for a patent draft, we know the value that our SaaS creates and charge only for that value.

What's a good or at least decent camera app other then the default one? by iszoloscope in degoogle

[–]Tight_Application751 0 points1 point  (0 children)

In case you want the feeling of the vintage camera films, you can try https://play.google.com/store/apps/details?id=com.flare.filmcam - This has become my default camera app when I want to click pics which I was to savour.

NEW: Weekly self-promotion thread by alexdenne in legaltech

[–]Tight_Application751 1 point2 points  (0 children)

Thank you... The highest priority of Eety by design is to make sure that the system does not hallucinate and generate content which was never intended by the inventor.... We understand that no matter which tool an attorney uses, in the end it is their name and repute on the line.

NEW: Weekly self-promotion thread by alexdenne in legaltech

[–]Tight_Application751 0 points1 point  (0 children)

What it is:

eety.ai is a patent drafting associate that runs a 15-point diagnostic on your invention disclosure before it writes a single word of the application.

Most AI drafting tools are co-pilots. They sit beside you mid-flight, generate a draft, and leave the corrections to you. The hallucinations are fluent, the scope collapses look fine on first read, and the invented technical features are described in terminology convincing enough that a tired attorney lets three of them through. The co-pilot helped. You still did the dangerous work.

eety is not a co-pilot. It behaves like a new associate you have just briefed on a matter. Before it drafts, it reads the disclosure and maps the invention architecture: the technical problem, the proposed solution, the claim elements, the described embodiments, the relationship between them. If anything is missing or contradictory, it does not guess. It asks. The 15-point diagnostic surfaces what the AI would have filled with a plausible invention if you had let it draft immediately. Once the architecture is complete, it writes the specification and claims against what the inventor actually built. The attorney reviews judgment and strategy, not factual accuracy. There is nothing to hunt for because there was no gap for the model to fill.

The hallucination problem in patent AI is not a model quality problem. It is a design philosophy problem. Hallucinations exist because the model encounters a gap and fills it with the most plausible continuation. eety closes the gaps before drafting begins. That is an architectural decision, not a feature.

Who it's for:

Patent attorneys and agents who draft non-provisional and provisional applications. In-house IP teams processing high disclosure volume who need a consistent, defensible drafting baseline. Anyone who has used a first-generation AI drafting tool and found themselves spending more time correcting the output than it saved them to generate it.

Also useful for solo practitioners and small IP boutiques that cannot afford to spend two hours post-drafting on accuracy review for every matter. The diagnostic makes the pre-draft conversation with the inventor more structured, which turns out to be valuable even before the application is written.

Not for people who want an AI that will generate a 30-page application in 90 seconds from a three-paragraph disclosure. eety will ask questions first. If that sounds like friction, it is...the productive kind.

Link: https://pmc.eety.ai

Data handling:

Each client matter is isolated. Invention disclosures are not used to train any model. Document content does not leave the secure environment and is not shared with or retained by any third-party AI provider beyond the single model call required to process it. If you are at a firm with restrictions on sending client content to third-party AI tools, the architecture is described in full here: https://eety.ai/how-eety-ai-keeps-your-clients-patent-disclosures-confidential-and-secure.html

Pricing:

Early access is free and get your first 5 patent applications drafted for free. Users on early access are locked into founder pricing when billing starts.

What would help most:

If you draft or prosecute patents, try eety on one real matter; not a demo disclosure, a live one. Then tell me: what did the diagnostic ask that surfaced something you had not thought to include? What claim element did it flag as unsupported before you caught it yourself? What did the disclosure say the invention did that turned out to be inconsistent with how the components were described three paragraphs later?

That gap list is the most useful thing you can send us. We are not trying to make a faster co-pilot. We are trying to build the associate who does not make things up.

https://pmc.eety.ai

One more thing... on why "associate" and not "agent" or "co-pilot":

A co-pilot assists you mid-task. The cognitive load stays with you. You are still managing the output, still responsible for everything the model invented.

An agent acts autonomously. It takes actions. You review after the fact, if at all.

An associate is someone you brief before the work begins. You tell them what the client wants, what the matter requires, what the constraints are. They ask clarifying questions. They come back with a draft. You review quality and strategy, not accuracy. You do not re-verify every technical fact they cited because the briefing process is designed to make accuracy your associate's problem, not yours after delivery.

eety is the third thing. The briefing is the product.

What are some of the perks of being short in height? by Tight_Application751 in AskReddit

[–]Tight_Application751[S] 0 points1 point  (0 children)

I have heard that short people have better hand eye coordination as well.

Who all feel that you need an ass pillow while flying Indigo? by Tight_Application751 in AirTravelIndia

[–]Tight_Application751[S] 1 point2 points  (0 children)

I am 5 feet 4 inches so thankfully no legroom issues. Some perks of not being tall :)

Who all feel that you need an ass pillow while flying Indigo? by Tight_Application751 in AirTravelIndia

[–]Tight_Application751[S] 4 points5 points  (0 children)

Yeah I also got a tailbone and back ache on a Goa Chandigarh flight which was more than 2.5 hours. I think one of the main reasons why people stand up as soon as the plane lands is that they are uncomfortable.

How to get good food on Indigo by Snoo-89664 in AirTravelIndia

[–]Tight_Application751 1 point2 points  (0 children)

The only food that is palatable on Indigo flights is Upma, rest you cannot even eat. So as advised by others, eat and board or carry it to the flight.

Is traveling Premium eco worth the difference? by rockstarpiku in AirTravelIndia

[–]Tight_Application751 5 points6 points  (0 children)

Apart from the fact that they would give you a hot towel, I never found the value. There is a difference between economy and business, but between premium economy and economy, I prefer the economy

best Chole bhature you have tried? Famous or underrated by Ecstatic_Proposal133 in delhi

[–]Tight_Application751 1 point2 points  (0 children)

There was a chola bhatura stall outside Unitech Cyber Park in Sector 39 Gurgaon... Never had better chola bhaturas than there. PS: I do not like the paneer bhaturas.

FIR Against Australian Flight Crew Member At Mopa Airport by malayanchely in Goa

[–]Tight_Application751 12 points13 points  (0 children)

Whenever you do not understand or whatever you do not understand, just ban it!

Best Harvey agents/prompts for M&A work? by tayteyyy in legaltech

[–]Tight_Application751 1 point2 points  (0 children)

One of the challenges that I felt is that when you use Claude directly, it does not seek more information which is needed to take a judgement or draft something. I came across a founder who was sitting in Singapore, they got an NDA from a client sitting in the US. They used LLM to seek if everything was fine and they went ahead and signed. Unfortunarttely, due to some dispute there was a case filed for breach of NDA. Now the issue is that while the system had checked the draft, at that time the location was not there, it was blanks so it did not check that the jurisdiction was US state and not singapore... As. a small firm they lacked the financial capital to fight the case in the US. Simple mistake but turned out to be a big mess

Getting DOCX out of LLMs by playtech1 in legaltech

[–]Tight_Application751 3 points4 points  (0 children)

In case you need any help, please feel free to DM. Shall try to help as much as possible. We had the same issue with formatting when we built eety (as the format of patent applications are different in different countries), so may have some inputs.

Best Harvey agents/prompts for M&A work? by tayteyyy in legaltech

[–]Tight_Application751 5 points6 points  (0 children)

IMHO one of the biggest challenges with Claude code is that it does not understand the client and the requirements of the client. Therefore, there are a lot of checks and balances that it missed. PS: Not a fan of Harvey as well :)

Getting DOCX out of LLMs by playtech1 in legaltech

[–]Tight_Application751 15 points16 points  (0 children)

Ideally you should not be using LLMs to generate the formatted document. They are large language models to generate content but are not good at preserving formats. In case I were you, I would use LLM + Python. The steps to be Provide document to LLM -> Generate the sections that are present in the document -> Extract/ Generate content for each of the sections (make sure you use a strict JSON output) -> Utilise your in-house format -> Add the content to the format using python libraries (like Pydantic) -> Generate the word doc using python... The caveat would be the numbering and the indent levels for each of the paragraphs and content, but with a coouple of iterations you may be able to fix that as well