The world's first AI-powered law firm.Stop paying >$1,000 per hour for common legal questions. From NDAs to SAFEs, Tome instantly demystifies contracts, recommends strategies, and gives you one-click access to expert attorneys.
This is by far, the WORST and MONEY-grabbing website that I have ever seen rated on PH. You just asked for any request that we should upgrade it to TOME PRO!
Shameful . PH Should take this product down!
Hi Product Hunt! 👋
We’re so excited to launch the world’s first AI-powered law firm.
In a nutshell, we’ve replaced junior attorneys with LLMs — so that you get fast, reliable answers to common legal questions.
When it comes down to it, “commercial law” — the part of law that’s mostly drafting and reviewing contracts — is a field of copying & pasting legal code. Lawyers are always copying best practices, referring to their secret menu of options, and charging > $1000/hour for phone calls. Even worse, it’s hard work! Junior attorneys really have to finish hours of painstaking analysis in antiquated tools, just so a senior partner can say “yes, this looks normal.”
Tome changes all of that: we built LLMs to do 95% of the basic work, so that you can get reliable legal information for common situations. And if AI isn’t enough, we give you direct access to senior attorneys who can help with unique questions.
For founders, that means:
> Instant AI analysis & recommendations for common startup questions
> One-click access to expert attorney advice
> Save 80% of the time and cost on common contracts (NDAs, SAFEs, and more)
> Integrate seamlessly with your legal team — and integrate with us via Slack 🙂
Try us today - upload a document for free to try out our AI analysis. Upgrade to add attorney support, with flat-fee pricing.
We started as a LLM-based contract analysis company, serving multi-billion dollar investors and startups alike. I’m super excited to hear what you think as we expand to help the whole ProductHunt community.
As a thank you to the community, we’re offering one month of free Pro attorney support. Just mention ProductHunt!
* We serve only U.S. startups, businesses, and investors right now. We won’t help you sue someone or represent you in court.
This is really cool! 🚀
As a developer, I can definitely see the value in cutting down legal costs and time, especially for founders who need quick, reliable answers without the high price tag.
Curious to know — how does your AI handle variations in legal language or nuances that might differ across states or industries? I imagine getting consistent results could be tricky with all the complexities in legal terminology.
Would love to hear more about how you’ve tackled that!
@rahul_khinchi Thank you so uch!
So we handle variations in language and nuances by having really large datasets. For instance, suppose you have a "termination" clause in a contract. Thanks to our dataset, we have almost every possibly permutation of that clause in our database. When a new contract is uploaded, there's some pattern-matching going on. And if the new contract contains a unique instance, that instance is then stored in our database for future pattern-matching. Over time, the number of unique instances starts to reduce significantly. But because of the infinite nature of natural language, the rate of reduction will be asymptotic.
@nadssdssd Your launch is incredibly intriguing... I'd love to know what personally drove you to create an AI-powered law firm. What sparked the idea to use LLMs to revolutionize legal services? Excited to see how this will transform the way startups handle legal matters!
@nadssdssd Yeah that totally makes sense. My concern was what if the AI makes a mistake that puts an individual or business into a trouble. But still, I am aware that it's an amazing product.
@kevinxyz Hey! I'm an engineer here at Tome, and I'd love to provide some more clarity on your questions on accuracy. It's absolutely something we have top of mind here.
The majority of the productive work we do at Tome is actually the whole extract => label => fine-tune/prompt => evaluate loop that is constantly improving our product.
Every output on our reports and referenced in the responses reflects a system that's working underneath. We have tens of thousands of attorney-hours' worth of work that has gone into painstakingly labelling, prompting, and evaluating outputs.
We routinely have customers send us contracts that they've already had their counsels look at, and we're able to flag things that they had no idea were present beforehand.
@benjamin_kang Hey Benjamin, thanks for your detailed explanation and it sounds really awesome that the accuracy reaches high 90s. Really innovative, I could have supported with 10 votes if there was a feature on PH, but thanks for launching this!
Looks incredibly valuable, great idea. But I have two questions:
1. contracts I might upload are extremely confidential and may have very valuable trade secrets. What reassurances can you give that they won't fall into the wrong hands?
2. How/why is this better than GPT4o which can also analyse contracts and give advice
@mattski2000
Important questions, thanks for asking!
1) We take your privacy, confidentiality, and security very seriously. We've designed our system from the ground up with that in mind. And our Terms of Service provides a strong NDA in your favor. :)
2) We actually use GPT4o in one step of our pipeline! In a nutshell, our biggest value-add is knowing what the right questions are to ask, and we ask those questions in our own fine-tuned models, trained our our database of >100,000 pieces of legal text.
@mattski2000 Hey! First of all those are absolutely valid thoughts to have. I'm an engineer here at Tome, and I can provide some more insight on those two topics as well.
1. We're currently SOC2 certified, and all your information is siloed and encrypted. As Nadia said, we're bound by confidentiality agreements in the Terms of Service. We have very specific procedures in which our team is able to view your data, such as when responding to matters that require lawyer assistance. Otherwise, that data is kept in our vault.
2. This is a wonderful question, and I'd love to answer in depth. We started off as more of a research company, tackling this without the aid of LLMs with a rather complicated system of regexes and pattern matching utilities to aid our labelling and clause recognition processes. When we added LLMs in this years, we took the same approach of scientific rigor to it, and there's honestly probably 10,000s of hours of attorney-labeled work going into the product. Every output you see on our reports and in the responses have been trained/fine-tuned/prompted based on those painstakingly hand-labeled contracts.
Almost 80% of our productivity is actually going into the internal tools we have that support the whole extract => label => fine-tune/prompt => evaluate loop, and we are very very strict about what outputs we enable based on accuracy numbers.
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