Is AI Intake Ready For Personal Injury Lawyers? – PIMM 148

[00:00] Welcome to Personal Injury Marketing Minute.
[00:07] Welcome to the Personal Injury Marketing Minute, where we quickly cover the hot topics
[00:10] in the legal marketing world.
[00:12] I'm your host, Lindsay Busfield, the vice president, and partner over at Optimize My
[00:16] Farm.
[00:17] Today, I'm joined by Jacob Adversine, co-founder and CEO of Reflect Legal.
[00:23] Jacob's background spans engineering and highly reliable system design, and today he focuses
[00:29] on AI built specifically for legal intake and law firm workflows. Today we're talking about AI
[00:36] intake for personal injury law firms. And what's actually workable today where firms should
[00:42] be cautious and whether AI is truly ready for a role that can directly affect signed cases in case
[00:49] value. Thank you so much Jacob. I'm so excited to have you here on the show. We just got back from
[00:55] Pilema in San Antonio a couple of weeks ago, I met you out there and was really impressed by what you have going on.
[01:03] So Jacob, one of the big topics that we were running into at Pilema is AI and AI in marketing, AI in operations, AI in case management,
[01:15] and it is getting so much attention right now just because of the versatility that AI offers law firms.
[01:21] But with all of that in mind, with all of the attention that it's getting talked to me a little bit about what AI intake actually looks like an elite practice.
[01:32] Yeah, well, first of all, thank you for having me here. It's really cool, you know, the production that you have and everything.
[01:40] you know it's it's it's it's it's very very cool also like you said
[01:44] enjoyed chatting with you with the appeal my your but the water but by the
[01:49] water container so you know had to you had to go by by you guys to say hi pretty
[01:54] often it was a strategic water cool air placement you know yeah like there was one
[01:59] water cooler yeah yeah for us it was similar with a coffee you know we were
[02:05] right by the coffee but the only side effect is like I have so much coffee
[02:08] Because I saw people there and I was like, oh, I need to go talk to them. I have to get some coffee. I'll talk to them.
[02:13] So, right effect. Too much coffee.
[02:15] Too much, at least they had a little bit of decaff there. Yeah.
[02:19] And it was so cold in that conference room.
[02:22] And at one point I was drinking coffee out of necessity to keep from turning into.
[02:26] Yeah, yeah. There was a lot of people getting coffee in tea just to stay warm.
[02:31] But no, it was a great time. And yeah, thank you for having us.
[02:35] And I guess going back to your question, what do we see about AI in intake, particularly for PI?
[02:43] I think I'll take a quick step back and what you said is very true.
[02:47] Right now there's AI's talk everywhere and it's supposed to be, right?
[02:50] Like it's great.
[02:53] But there is, you know, that the side effects of it is there's a lot of noise.
[02:58] You don't really know what's legit, what's not legit.
[03:01] you know companies can come and say if we do all of this and someone can, right?
[03:07] Someone can come and say hey we do the same amount they can't,
[03:09] you know a firm goes and talks to one person and they're like nope this doesn't work
[03:13] and you make a blanket assumption across the board, right? So it's a very interesting point of
[03:19] you right now and it's an interesting part of the AI journey specifically with legal,
[03:23] being a legacy industry where tech was not really a primary concern and then all of a sudden
[03:29] and AI just like, oh, by the way, you know, this is happening here and it's everywhere.
[03:33] And it's touching every part of your business. Yeah. Yeah. Yeah. And when it comes to AI in particular,
[03:38] I was excited to have you on because Intake is clearly one of the most important parts of a legal operation.
[03:47] And I mean, coming from marketing, I would say that Intake is right, neck and neck, because, you know,
[03:53] as a marketer, I can get clients to the door. I can get those calls coming in. But if your Intake
[03:58] team isn't getting those calls to convert into cases, then that's hundreds of thousands of
[04:04] dollars that you just flushed away in marketing and all because of your intake team. And so when
[04:10] you have AI software at its infancy and we were truly seeing it at its infancy a couple of years
[04:16] ago and you are trusting it with something as important as your intake at that pivotal moment.
[04:24] It's a little scary and we definitely have lots of horror stories a couple of years ago with AI intake
[04:31] bots or agents or whatever, wherever it was back then.
[04:37] But we also saw some really cool adaptations of it as well.
[04:40] So for long firms who aren't familiar with using AI intake or haven't heard the stories or haven't seen it done well in practice,
[04:49] Can you give us a little bit of an overview of how AI is being used as a part of that intake process?
[04:55] Yeah, yeah, for sure. So I can tell you a little bit about what we know obviously us from reflect legal we do
[05:01] We have AI and we specifically the term employees because that's a little bit about how we see the the future and as the vision of a company
[05:10] We know
[05:11] You know
[05:12] Interactions law firms everything is relationship based
[05:15] So, even from our point of view as a company thinking of calling them agents or bots, it's not the vision of what it should be.
[05:25] It should be an employee, right? Because employee means relationship, it means part of your firm.
[05:31] And for instance, in our case, we have AI employees that are conversational. So, they handle the phone calls, text messages, even emails for law firms, particularly in the intake side.
[05:43] meaning a firm gets a phone call that instead of, you know, an answering service or someone inside the firm or you go to a voice mail very importantly, they are answers the phone call.
[05:54] It can determine if it's an existing client, if it's a new client, if it's a third party, so like other council insurance adjusters and conversational, you know, it will help them out, right?
[06:06] right if it's a new lead it can do the intake follow the qualification questions as the right things here the story
[06:13] So on so forth if it's an existing client it can you know route to the right person and team give a case update
[06:20] Whatever it is
[06:21] But everything from the point of view that it's an extension of the firm
[06:27] I agree with you like it's scary, you know, and we see it with the law firms like it's scary
[06:31] It's just be like hey, I'm just gonna let a eye answer my phone calls
[06:34] right like you know we're in a business of relationships right like people are not going to want to talk to to AI right that's what we hear often or like
[06:44] What if AI messes up and I think you were right in saying like over the years that thing only has adopted or improved
[06:52] previously you know the capabilities might have been not there now
[06:58] not every
[06:59] company doing it is there, but some of them are doing a good job.
[07:04] In the case of us, we knew that the biggest thing for intake was the nuance of the conversations.
[07:14] There's nuance in the specific legal legal legal legal, there's nuance in the case type.
[07:19] There's nuance of scenarios that can happen. There's nuance in empathy and emotions that are play.
[07:25] And we immediately as a team decided that just a chat,
[07:30] if it's just an age and just an LLM,
[07:32] it's not enough to capture that.
[07:34] We actually took a step back and saw how the human brain works.
[07:38] Not to get too much into it, but like,
[07:41] now we have, you know, there's, you know,
[07:46] psychos called Daniel Kandeman, he talks about system 1,
[07:48] system 2 thinking.
[07:49] You know, system 1 is your LLM brain. Think about it that way.
[07:53] your predictive, you know,
[07:57] if I ask you, hey, Lindsay, you know,
[07:58] how are you doing, right?
[07:59] You're almost automatic answer is good and you,
[08:02] like you're predicting what you're
[08:03] just saying next.
[08:03] You're not having intense thoughts about like,
[08:05] well, I'm doing good because I have pancakes today,
[08:07] and I feel great, right?
[08:09] I'd be great if I had pancakes today.
[08:10] I know.
[08:11] I know, I know, but you're not thinking.
[08:14] It's not what I'm actually, right?
[08:16] But if I tell you, hey, what's 17 times 24
[08:18] and do the mental math?
[08:20] And then I'll let's you're like some math Olympia
[08:22] that knows it perfectly, it's going to be on your type 2 brain, right?
[08:26] You're going to have to be like, wait a minute.
[08:28] And whenever you have those type of tasks, even for us humans,
[08:32] they even feel physically uncomfortable.
[08:34] Like, if you were to, like, right now, instead and try to do the math in your head,
[08:37] it feels physically uncomfortable because you have to, like,
[08:39] and here it's a little bit.
[08:40] Yeah, because you have to, like, hold data, like, you know,
[08:43] memory and context, like, okay, I have to carry the one or whatever, right?
[08:47] And, you know, there's a lot of, that type of situation happening,
[08:51] the phone calls, right, that the human brain can process and do the reasoning a little bit
[08:56] on the fly, but just an LLM, at the current state, is not the best app, right? Sometimes a person
[09:03] calling in for a case, they might say something, but what they really mean to say about that
[09:08] something might be slightly different, right? And, you know, the LLM is just responding to the
[09:16] predictive way of answering the statistical next best option. It might not capture that well.
[09:21] And I guess the biggest challenge that I think of is that empathy piece because there is nuance to empathy and there's linguistic nuance to empathy.
[09:30] So as you said, people might say something but it might not be literally what they mean by that.
[09:37] And when somebody is contacting, especially a personal interior attorney, they are in crisis mode.
[09:43] They might not be at their top critical thinking capacities.
[09:47] They need to be met with first empathy and then the resources that they need in order to move the case forward.
[09:57] And so talk to me a bit...
[10:00] out, the response that people are having when they talk to the AI employee. Because I know personally,
[10:09] like I will sit here if an AI agent bought employee answers the phone and I just want to talk to
[10:16] somebody now. The most frustrating thing I can do is to hear go representative, representative.
[10:22] So how do you meet that challenge? Yeah. Yeah. And we get that all the time, but I'll actually flip it
[10:28] a little bit to you. When you answer that phone call and you say you talk to an agent, what about
[10:34] it and makes you think that's an agent? Well I can pick up on it pretty quickly because they don't
[10:41] necessarily understand what it is that I'm asking and they aren't giving, I can't have a back and
[10:48] forth conversation with them. For example, I had to reach out to a medical provider with an issue
[10:54] that I had with a prescription. And I said this is written in a confusing way. And because it was written
[11:01] in a confusing way, I took the wrong dosage amount. And now I am in a Christ's situation,
[11:07] I'm talking to an AI agent and not only are they asking me to clarify what happened when I thought
[11:15] that I presented the information in a very clear way that a human would understand, but they also
[11:21] can't take action on it independently.
[11:25] So it's going to eventually have to go to a human in order for a next step to happen.
[11:30] And I would just rather talk to the human immediately.
[11:32] Right.
[11:33] Right.
[11:34] And I think a lot of the things that you said are true.
[11:36] We recently have a talk about this specific thing.
[11:40] And then mainly on trust, right?
[11:41] Like what makes someone say, I want to talk to a human, what does it actually mean to talk
[11:47] to a human?
[11:48] Right?
[11:49] And it's not just that the voice sounds nice, right?
[11:51] That's in my opinion that is like the 5% of the equation.
[11:55] The real thing I used to do is I think boil sound to competence.
[12:00] Is the system smart enough to actually make me feel heard?
[12:04] Understand what I'm truly trying to say it and then act on it.
[12:09] Imagine you have someone like a person that for some reason,
[12:18] and the voice sounds really robotic, right?
[12:21] But it's a person, right?
[12:22] And you call and you're like, okay, well, you sound robotic,
[12:24] but they get you helped out, right?
[12:26] They understand what you're trying to say.
[12:28] They, you know, if you're asking questions about your case
[12:31] or you want to status update or you want to,
[12:32] you know, talk to your lawyer or leave a message,
[12:36] they can actually execute or need and they make you feel,
[12:38] like, the action to suit what you said.
[12:41] How much of that impact was on how the voice sounded
[12:44] versus on the competence level, right?
[12:47] And that's what we were from the beginning
[12:50] we started work on by building our own reasoning engine.
[12:54] The ability to tackle that competence side
[12:56] because the models for the voice itself
[12:59] are gonna keep getting better, right?
[13:00] Like, even right now, I can tell you,
[13:02] we run a quick study of some of our colleges.
[13:04] We have thousands of calls per week.
[13:07] We anonymize them, and we saw that only 1.6% of the callers asked
[13:12] if it's like, hey, are you on AI?
[13:13] Only 1.6%.
[13:15] But that doesn't mean that other people didn't notice, right?
[13:18] That rates at which people might have noticed that I'd be higher.
[13:21] But they were helped.
[13:24] They engaged with it and had no problem because of the competence inside, because of the
[13:29] reasoning side.
[13:30] They at the end of the day are getting to where they need to get, and they're calling for
[13:35] help for some reason, right?
[13:36] And they're getting to that point where they've been heard.
[13:39] And I can see that by the conversations, the amount of people that say thank you at the end.
[13:44] I think you so much, I appreciate it.
[13:46] Like, you don't really say that, right?
[13:49] To a machine, right?
[13:51] You don't really say it's a machine,
[13:52] but you say it here, and it's scary,
[13:55] but I think more than, you know, how a voice, like you said,
[13:59] oh, you can pick up it sounds like AI.
[14:01] It's not just a voice, it's the underlying cues,
[14:04] both on the language you use is the work,
[14:07] choice, the verbage, the intonation,
[14:09] just a little bit of empathy comes and everything
[14:12] to signal to the caller that, hey, I actually understand what you're trying to tell me,
[14:17] right, and I actually can't help you.
[14:19] Right.
[14:20] So, yeah.
[14:21] Well, and again, you come back to my example.
[14:24] I know that the case that I was presenting this company with was a unique situation.
[14:30] Like this isn't something that they're going to see 10,000 times over.
[14:34] So, yes, I'm going to need some specific help with this.
[14:38] that an AI agent just can't accurately predict.
[14:42] But on the flip side of that, everybody calling a personal injury attorney is also going to
[14:47] feel like their case is unique and that there are special things about it because they don't go,
[14:52] oh, a car accident is a car accident is a car accident or an attorney can look at that and say,
[14:57] yes, this is going to be 90% the same case to case to case. The person calling means to be able to
[15:03] feel like they are unique and be told yes you are special and empathize on that level as well as
[15:13] having that competency piece moving forward. So how are you able to adjust for that?
[15:18] Yeah, so I mean I agree we as humans you know it's part of our psychology that we feel unique
[15:25] where it's only me it's I'm special right and you know when I call it's it's my case is whatever
[15:31] and is, and a lot of it is being heard. Like empathy, more than just word choices,
[15:39] giving, you know, the right verbage back, the right words to make understand that I hear you,
[15:44] right? And so that's the biggest part. I want to say, I was like, oh, with this, yeah, I was
[15:54] So it says like the verbiage, then there's the empathy,
[15:56] tell, oh, here's the other part of it was, I wasn't going to go to.
[15:59] It's easy to, and also we said this for the conference, it's very easy to then compare AI
[16:08] at its worst to people at their best.
[16:11] So that's the other flip side, right?
[16:14] You're talking about unique scenarios, right?
[16:17] Where maybe like it's not the 10,000 one, right?
[16:20] You actually, it is actually something where, you know, could it call center?
[16:24] know in another country help you with that specific edge case? Well, they could at least know that
[16:31] this is outside of their understanding and in the direct return. And exactly that. And that type of
[16:38] level of behavior AI can do, right? Yeah. There's limits that AI can do like I understand that like self
[16:44] driving cars, right? I should equate you know voice AI and intake a lot to self driving cars.
[16:50] There is the 80% you know, 80, 90% of whatever you want to call it, of the path that is like
[16:55] predictable like, hey, go straight, turn right, turn left. But then that 20% right of like now being
[17:01] the city where there's going to be buses, pedestrians, people messing with the AI, like with the drivers,
[17:06] the self driving car some purpose, all of that. So you need to have a system in place to reason
[17:13] those scenarios and then try out them. So like you said, hey, I understand that this is outside of
[17:19] out of the scope of my knowledge, just like a person would, right?
[17:23] And this is something that should actually then be escalated, right?
[17:26] Right.
[17:27] And the current AI systems, if architect, well, can do that.
[17:30] Right?
[17:31] I hear the limitations.
[17:32] Here's what point you can talk.
[17:35] One example is like, we sometimes have people
[17:37] called the reception of a firm, the AI answers.
[17:40] And they're like, hey, I'm in the parking lot.
[17:42] How do I get upstairs?
[17:43] Right?
[17:44] Right?
[17:45] And the AI knows the address of the firm,
[17:47] but it doesn't know the inside layout.
[17:49] How to get, right?
[17:50] So as I hate, I am working remote.
[17:52] Let me transfer you to the staff that is in the office
[17:55] and they can probably come out and help you.
[17:57] OK, thanks.
[17:59] So just like you would train, you know,
[18:01] the amount of it's AI, it was someone, even if you had a VA,
[18:05] they don't know the layout to your office.
[18:07] So by approaching this, to the over the lens of employee,
[18:12] what do you currently do with your employees
[18:14] if they're remote?
[18:15] you can actually start carving out a lot of the behavior
[18:19] and how AI can actually handle more than people think.
[18:22] Well, and I think that a lot of the reservations
[18:26] that people have is because they are comparing it to AI
[18:29] as worse, and they saw AI a couple of years ago,
[18:32] and for those who weren't really paying attention to AI
[18:36] in 2023, 2024, can you talk us through a bit of the timeline
[18:41] timeline of where it was, where some of the shortcomings were, and how we've adapted through
[18:48] that to where we are now.
[18:50] Yeah.
[18:51] Yeah.
[18:52] So the first thing is latency and speed.
[18:55] The models have gone better to the point that you can intake, find no point in time.
[19:02] But they can intake more data faster at cheaper rates that when we're talking about, I
[19:11] a legal intake that someone tells a full case or something like that.
[19:15] We can process that information much faster and then you can build systems around it to then
[19:19] make the decisions.
[19:21] That's on the reasoning and intelligence side of the models.
[19:24] It's really come along a long, long way.
[19:27] I'm sure, I mean, the average population can even see it with Chad GpT and Colin, right?
[19:31] You know, as a year's go by, it gets better.
[19:34] Even the image is it creates?
[19:35] It's getting better, better.
[19:37] I don't have eight fingers on one hand.
[19:39] Yeah.
[19:40] So, you know, it, you, that same progression people see from the consumer side on images and
[19:46] chatchipiti, you can then translate to reasoning and, you know, the speed at which it can
[19:51] process things.
[19:52] But then the other really crucial part is the voice, right?
[19:56] Of course, in order to, you know, complete, even if it's 5% is still very,
[20:00] one or five percent of the conversation, it needs to feel realistic and it's to feel, you know,
[20:05] in sync with what we expect, right? If you say something sad, you can't answer back with a happy
[20:10] tone. And even though you say words that are empathetic, you have to answer in the correct tone.
[20:15] And the voice models keep getting better and better, pretty much, month to month.
[20:22] I obviously, I'm in tech, I'm in junior. I obviously have, you know, bias opinion about voice
[20:28] I, but you know, I generally think that, you know, give it another year, give a year and a half.
[20:34] Most people will not be able to tell.
[20:36] They're talking to me.
[20:38] Even right now, I can tell you out of thousands of musicians, there's thousands of people that can't tell.
[20:42] But in the next year's to come, it's going to get increasingly increasingly hard to tell.
[20:49] Which is a little terrified.
[20:51] Yeah, but yeah, I mean, I know that there's some great applications for it, but you know that they're going to be people who are using that.
[20:58] Yeah. Well, yeah, this is always going to be people who use it for the for the best side, but I mean, I get excited because especially in legal, right? Like you said, you're talking if you're talking to a lawyer.
[21:10] 9 out of 10 times is not a good scenario, right?
[21:12] Like, especially in PI, right?
[21:14] You know, you're not, you're in pain, maybe there was a death,
[21:20] or something, and you know, having actually the firm help you, right?
[21:27] You're like, we do intake audits, so we go and it's like an undercover
[21:32] bossage test that we do on some firms to be asked for information and then we go in.
[21:36] And you'd be surprised the number of firms that I call and I'm just in hold for five minutes before someone answers.
[21:45] Right? And I'm like, yes, imagine that was just in a horrible situation.
[21:51] I lost a lost one or something. I see your adverse. I see your marketing and you say, you can help me.
[21:57] But then I call you and nobody picks up the phone.
[22:00] Right? I would much rather, you know, have an AI, you know, tell me, hey, they'll, they turn.
[22:07] He can't help you right now, but you care, and that's why we're here, and I'll take all your information.
[22:11] I will make sure, you know, that he gets back to you, right?
[22:15] Right. Instead of blank sitting on a hold for, you know, it's because somebody, you're going to,
[22:20] somebody would hang up. Oh, yeah. I'm not going to wait. Like, it's somebody's
[22:23] in crisis mode and they want to talk to someone now. They're not going to sit around.
[22:27] Yeah, and then the other scenario is, you know, I'm originally from Mexico. I know my people. I know for example my mom's personality
[22:34] She's gonna want to go and talk to someone as big Spanish. She speaks English, right?
[22:38] But whenever it comes to something emotional and critical like she's not gonna feel comfortable
[22:43] full expressing herself unless her language. And when doing this intake, like I've been, you know, testing them in Spanish, and
[22:51] They're like hey, you know, nobody speaks Spanish right now
[22:54] you call back tomorrow. Not even like, hey, we're going to call back tomorrow. Like, can you call back? You
[22:59] call that our Spanish speaking person is going to be here between one and four. Right. Right. So I'm like, hey, I have work until five. Like, I can't I can't call. Right.
[23:08] Right. Like, it was like, well, you know, sorry. It's like really like, you know, you're is this really the the the sentiment of of a place that's going to take care of me.
[23:19] And that's a double door that opens, right?
[23:21] A firm that, you know, a Spanish speaker, a Chinese speaker, a French speaker,
[23:26] however it is, calls a firm in their own language, whether comfortable.
[23:30] Hey, we will help you, right?
[23:32] You're being taken care of.
[23:34] I will make sure that the team has all the details were with you.
[23:38] You know, much, much different.
[23:40] Sure. I mean, I know AI's scary, but when you start comparing
[23:43] into the reality of how it works with humans.
[23:47] It's no longer black and white.
[23:49] It's a little bit more gray.
[23:51] Right.
[23:52] Well, and then the other flip side of this argument
[23:54] is that a lot of times humans aren't great at and take either.
[23:58] So we have monitored some of the calls from the law firms
[24:02] that we work with to see how their intake is doing,
[24:06] especially when we're listening to LSA calls.
[24:08] And nothing is worse than having a real human answer the phone
[24:12] when somebody's in crisis mode,
[24:14] hey, my husband was just in a motorcycle accident
[24:18] and is paralyzed.
[24:20] Can I get your name in number?
[24:22] No, this is coming from a real human
[24:25] and just lacking that empathy
[24:28] and having to train those skills.
[24:30] And it's not their fault, right?
[24:32] Because like, you know,
[24:34] part of how we are, we get dull, right?
[24:36] You know, your person answering this phone calls,
[24:39] the first hundred sure you have empathy in YouTube,
[24:41] like, hey, I'm so sorry.
[24:43] Once it's a thousand, a thousand to call,
[24:45] it's just another call, you're like,
[24:46] okay, let's see what's in number,
[24:49] and that's what we saw as well.
[24:50] Like we have an empathy score when we do this,
[24:52] this,
[24:53] intake audits,
[24:55] and the amount of empathy that is expected of a human,
[24:58] and what they usually criticize AI for,
[25:02] right, a lot of these humans don't even have,
[25:05] and it's not their fault, right?
[25:06] It's just, it's hard,
[25:07] like it's also like, you're in there
[25:10] your job every day and a day out is to hear people complain about the worst scenario possible
[25:14] and try to consult them is not an easy job for the intake stuff either.
[25:20] All right.
[25:21] Yeah.
[25:22] Oh, yeah.
[25:23] That's, I mean, it's a huge challenge.
[25:24] And so I know that there are a handful of good agencies out there, their handful of good AI
[25:31] workflows out there and AI agents out there.
[25:36] If somebody is listening today and they are first of all deciding whether or not to use an AI employee
[25:42] AI agent for their intake and they are evaluating different companies that are out there on the market.
[25:49] What should they be looking for? The first thing that we tell everyone is whenever you go into
[25:54] do a demo, do not let them show your recording, do not let them do the demo through the through a website or a
[26:02] of web form. They should be able to give you a phone number that you can call and you can test
[26:07] right there on the spot. That's right, but yourself. Yes, because in the age right now,
[26:13] like vibrating and charging PTE and Claude code and all that, it's very easy to make a flashy
[26:19] demo. You can angle it just right, but like we mentioned in the self-driving cars, right?
[26:27] that at 20% of edge cases that type of stuff,
[26:31] you need to have a system that is well built in place.
[26:35] I can handle those things because 100 calls is one thing.
[26:38] Once you form has thousands of calls,
[26:41] you're going to run into a lot of these edge cases.
[26:43] And some of these edge cases could be million dollar cases.
[26:46] The first thing we always tell the firms,
[26:51] we don't have to choose us.
[26:53] We know there's a lot of stuff out there.
[26:55] I know we do a great work.
[26:56] If you come with us, work that care of you,
[26:58] but if you choose any other company,
[27:00] fine, just make sure that whenever you test,
[27:03] right?
[27:04] You try this closest possible to the real deal.
[27:08] All right.
[27:08] You call it, you know, throw it some curveballs.
[27:14] And yeah, like really push it to the limit
[27:17] whenever you demo it.
[27:20] I think that's probably the first thing to,
[27:23] or the most important part out of all of this.
[27:26] Yeah.
[27:26] Well, and as you said, you're not going to know how it handles
[27:30] until you push it yourself,
[27:31] ask it the hard questions, throw it the curveballs,
[27:34] throw it the unique situations and see how it handles,
[27:37] throw it some gibberish and see what it spick
[27:40] it's back out of you.
[27:41] I mean, just like you wouldn't buy a car without test driving,
[27:44] it really get in there and see how that baby moves.
[27:47] And so I loved the phone booth that you had at PILMA.
[27:53] I thought that was a really great booth set up and a way for personal injury attorneys to
[27:58] engage with you guys and really test drive the product.
[28:01] But if somebody is listening today and wants to get in touch, wants to take it for test drive,
[28:07] how can they get in touch with you?
[28:10] Yeah.
[28:11] So you can obviously go to our website, reflectlegal.ai.
[28:16] If you go on book, I'm eating it, it'll be straight with me.
[28:20] The reason why we don't put the phone numbers live is because we want to make sure that
[28:25] if you're going to come and schedule a meeting with us, I can give you a demo that is going
[28:29] to be to your firm.
[28:31] If you're a sleep and falls, you want to test a sleep and fall scenario.
[28:37] That it pertains to you.
[28:38] You don't want to just do a generic like MBA or whatever it is.
[28:42] You get to see a little bit of other things that the ad does, you know, how it is embedded into the CRM, the case management system.
[28:48] So, and you'll get to talk directly to me or my brother, my co-founder.
[28:52] You know, we'll be an open book, you know, any other tips and tricks that if you want to even want to talk to us before you talk to a computer, go for it, you know, we'll help out.
[29:01] The other option is LinkedIn.
[29:03] You know, just might my name, Jacob, Adversign.
[29:06] But yeah.
[29:08] Well, I will make sure that we put the links to those in the show notes that people want to dig in a little bit further and see the capabilities and how far AI has come in terms of intake.
[29:21] Thank you so much for joining me on the show today. Jacob has been an absolute pleasure.
[29:25] And that's going to wrap up this episode of the personal injury marketing minute.
[29:28] If you want to learn more about Jacob and reflect legal, again, we'll put those links in the show notes here.
[29:33] And if you are a law firm that is interested in growing and bringing in new cases so that AI and take can talk to them and convert them for you, feel free to reach out to me through Lindsay at optimizmyfirm.com.
[29:46] Thank you so much, Jacob. It's been a pleasure.
[29:48] Thank you, Lindsay. Appreciate it.