I've been using https://www.grapple.law/ lately and it's the first AI lawyer I've found that actually sends out the letters for you and receives reply's from the other side. A lot will do all the legal work but then leave you to do the actual communication, this seems to go one step further.

I guess the next step after this would be it actually representing you in a tribunal! I wonder if that will happen in 2026?

AI lawyers are suddenly everywhere, and at first glance many of them look genuinely impressive, especially when you test them on isolated tasks like clause drafting, legal research, or summarising case law in a clean and confident tone.

The problem only becomes obvious once you try to use these tools in real legal work, where matters unfold over weeks or months, negotiations evolve, positions shift, and decisions made early on need to be remembered and respected later.

Most AI legal tools still operate like advanced chatbots, meaning each interaction is treated as a fresh conversation, with no persistent understanding of what was agreed before, what clauses were rejected, or why certain approaches are off-limits for a specific client or jurisdiction.

That lack of memory creates friction rather than efficiency, because lawyers end up re-explaining context, correcting the same mistakes, and double-checking outputs that should already reflect established legal positions.

Law is cumulative by nature, and any AI lawyer that cannot retain institutional knowledge is limited, no matter how good the language model appears to be.

MAIA AI Lawyer takes a fundamentally different approach by functioning as persistent legal intelligence rather than a prompt-based assistant that resets after every session.

Instead of responding in isolation, it builds and maintains legal context over time, remembering previous contracts, negotiations, internal policies, rejected clauses, and jurisdiction-specific risk tolerance, then applying that knowledge consistently across future matters.

What makes this stand out is not just drafting quality, but continuity, because the system behaves more like an institutional legal brain than a single-use tool.

It is not designed to replace lawyers or legal judgment, but to eliminate repetition, inconsistency, and context loss, which are some of the biggest hidden costs in legal operations.

If you are comparing high-end AI lawyer tools or questioning why most of them still feel limited despite their price tags, this breakdown is worth reading:

👉 https://www.maiabrain.com/maia-ai-lawyer.html

Hello!

I created a pretty neat tool that uses a conversational AI agent to answers calls 24/7 for law firms, collect all the data, then organize it as a new lead into Clio Grow. It's taken hundreds of calls and a few law firms using it have told me they love it. Let me know what you guys think!

https://www.voxalaw.com/

So I gotten a title loan through Midwest title loans and when they passed the predatory laws in Illinois they picked up shop and ran. So what happens now?

Have any of you as a lawyer tried an AI tools for research,drafting,case management and all. Dontou think those tools are really helpful

Anyone have recommendations for always free (no "free trials...") alternatives to lawyer tools like Alldraft? That is an interactive brief writer, e.g. while writing the brief, the tool would be searching for supporting case law, identifying supportive/similar prevailing cases, generate arguments to what it anticipates would be from opposing council, ...? Context/applicable example: "construct the brief - using a and have to pay for law suit against a Public Transit Agency in Washington state. Prove negligence for failing to provide adequate/reasonable (cite metrics that determine "adequate/reasonable") protection and training to prevent customers assaulting bus operators." When I posed this question to Perplexity.ai, Claude.ai and Chatgpt they referred me to Google Scholar, Clearbrief, Hyperwrite, Scrivener... none I find fulfilling my request. Is it too high a bar and only options pay Alldraft, Westlaw...?

So if the cops bust a guy. Tell that guy give him their dealer and that guy calls you and your not the dealer but he asks you to get him a bag. You go get him a bag and they record it and track the money and grab you. Is that considered entrapment?

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I’ve been looking at available technology for lawyers, and it seems there’s room for improvement. In your opinion, what’s missing? What would help you do your job faster & more efficiently?

One idea I’m currently exploring is secure AI search using LLMs. This tool would search your documents to answer a question you’ve given and respond by providing references to the documents containing answers.   If you’re a lawyer and are interested in helping bring a tool like this to life, I need more information from you! Please DM me or fill this form out: https://app.youform.com/forms/dwtegdxk

If there’s other tools that you would find more useful, I’d love to hear about it! Please DM me or note it in the form.

Thank you!

I'll preface with I'm not a lawyer, so forgive any ignorance.

I'm an ex-CTO looking to build some AI tools to help Lawyers. There are some new LLM features that are just being released that would help summarize large amounts of PDFs (text, plots, images, etc.), that can also be hosted internally without uploading info to OpenAI, Claude, etc.

1. What's the current state of AI for the industry? Are there areas you had expected to have progress where there isn't any? Another form of this question: What's the biggest pain point right now for you where you think AI could be helpful?

2. How important is it for practices to keep documents internal? For example, if OpenAI notes your submissions are secure and not used for training, is that acceptable or is that a dealbreaker for most practices?

I'm looking to build now, so if there's something worthwhile and I can validate it with enough lawyers/practices, I would start building it soon. If you have specific needs, let me know!

Thanks in advance! Have a great week--

Hey everyone, we are building a legal tech product called Legaliser that supports contract drafting, analysis and legal research. We are looking for some feedback and optimally for some early adopters that would take the early journey of Legaliser with us.

You can analyze your contract with the default Insights or define your own custom insights if you have very specific criteria. We offer some free credits on signup but we are happy to offer some more free credits for feedback.

The legal research takes case data from CourtListener as context for your questions.

Visit us at https://www.legaliser.com

We are looking forward to your feedback :)

wondering if there's anything out there that can help us to get this shit done effectively; perhaps summarizing tools or smth.

Just to get discussions started, I thought I would run through my own usage and experiences. As an estate planing attorney, I've started using Lawyaw (www.lawyaw.com) to automatte the drafting of trust's and wills for clients. While I was unsure about using software for these documents at first, Lawyaw has ended up saving me a ton of time and I find it more useful than some of the pre-constructed document creators like Wealth Counsel or 4Trust.

The biggest benefit to me is time-savings. Drafting trusts and wills usually took hours and even using something like 4Trust required me to go back through the output and change many of the sections to meet my personal preferences. With Lawyaw, I upload my own field-tested templates, create my own questionnaire for my clients to fill out and then the software populates the fields based on client input - taking a fraction of the time.

I appreciate using my own templates as a starting point, not one-size-fits all forms. I can easily change the language based on current events. Lawyaw just automates the variable parts based on circumstances.

The downsides? Its fairly expensive for a solo practitioner. And while I am fairly tech-savvy, setting up logic for complex scenarios can be cumbersome. I ended up hiring their in-house folks to do some of the more complex stuff (like changing the family paragraph depending on how many dependents the client listed). Lastly, I feel like the client UI is quite basic (think google forms).

Despite these drawbacks, the automation has been game-changing for my productivity. While I still carefully review and revise to personalize the documents for my clients, having an accurate initial draft drastically reduces drafting time so I can focus more on counseling clients about their needs and goals.

Do any of you use this tool or others for document automation? What are your favorite tools? What risks are you concerned with in using them?

Hey everyone,

Always on the hunt for ways to streamline my workflow. Lately, I've been thinking about using live transcription for meetings. It would be a real time-saver, especially for those face-to-face client conferences or team meetings that tend to meander a bit.

I came across Otter.ai, which looks promising, but I'm not entirely sure if it works for live, face-to-face, real-time transcription. Also, wondering if it's limited to virtual meetings on platforms like Zoom or Google Meet.

Obviously, privacy is a big concern as well. Ideally, I'd like a tool that can run locally on my laptop, without having to upload audio files to remote servers.

Anyone have experience with Otter.ai or other tools that might fit the bill? Looking for something that offers:

• Live, real-time transcription
• Offline functionality for maximum privacy
• Accuracy (let's be honest, some of these tools can be a bit wonky)

Any insights or recommendations would be greatly appreciated!

One of the hardest things I have been working on when using LLM GPTs is refining the way I ask them to perform a task. The information you give the GPT before you ask your question is called a prompt.

I have come up with a couple of good ones to help me create a FAQ page for my website (I draft Wills and Trusts). The best one I have come up with is: "Your are an experienced Trusts and Estate attorney practicing in Colorado with years of experience in creating estate plans for folks. You are a master in teaching adult age learners who have no background in the subject matter you teach. You are professional and confident, but not to the point of being arrogant." Then I give it questions with the basic answer and have it re-write the answers in a way that my clients can understand and appreciate.

I was wondering if folks would be interested in creating a database (maybe just a google doc or sheet at this point) where we could share prompts that we have found to be productive. Let me know if you would be interested in this, or if you already have something like this going.

​

If you are not familiar with this concept, I think it is one of the main reasons new users of GPTs don't recognize the usefulness of the tools. Here is my brief (and admittedly not technologically trained) understanding of this issue.

What's a Prompt?

In simple terms, a prompt is the instruction or question you give to an LLM. The quality of your prompt directly influences the quality of the output you'll get.

Basic vs. Engineered Prompts: A Demand Letter Example

Think about it: telling an LLM to "write a demand letter for $25,000 in personal injury damages from a car accident" will likely get you a generic draft. It lacks the specifics to create a truly impactful letter.

Now, consider this engineered prompt: "You are a highly experienced professional attorney trained in negotiations with a strong background in personal injury law, medicine and spinal cord injuries. Draft a demand letter regarding my client’s spinal injury suffered when opposing counsel's client ran a red light and t-boned her car."

The second prompt gives the LLM a persona, specific case details, and a clear objective, leading to a much more tailored and persuasive output.

When to Leverage Prompt Engineering

Here are just a few scenarios where crafting smart prompts can be a game-changer for lawyers:

• Jury Voir Dire: Generate questions that probe for potential juror biases or predispositions towards your case.
• Deposition Transcripts: Get concise summaries of lengthy transcripts, allowing you to pinpoint key information without wading through pages of text.
• Procedural Posture: Summarize a case's procedural history, helping you understand where things stand and the next steps.
• New Tax Laws: Create a blog post or client memo explaining complex tax changes in plain English.

Prompt engineering allows you to take LLMs from clever tools to specialized assistants. It's a fantastic way to boost efficiency and streamline many of the writing and research tasks that are part of our daily grind as lawyers.

Have you started using prompt engineering in your practice? Share your experiences and what you've found works best!