Comparing AI Demand Letters for Your Personal Injury Practice

Investing in AI Demand Letters for Your Personal Injury Practice? 

Compare AI Demand Letter Platforms.

Artificial Intelligence (AI) is the most significant technology development since the internet, and in time will have an even larger impact on our lives.  We are already seeing it incorporated everywhere from the classroom to the courtroom.  Lawyers are looking to AI for everything from legal research and writing, marketing, and most recently helping with repetitive tasks.

In the personal injury field, AI can help implement best practices to create AI demand letters capable of increasing settlement offers, while also saving time spent by lawyers and staff. If you are interested in implementing AI demand letters in your personal injury practice to obtain higher settlement offers, this article offers some key considerations.

As with all new technology, it is very important to research your options when it comes to shopping for Legal AI products and platforms. Some offer real benefits such as automated expertise, while others are simply jumping on the bandwagon of a hot new term such as “AI” to make quick money.  (Recent collapses in cryptocurrency and NFTs should reinforce the idea that not every product based on new technology is a good investment.)

Using AI in Personal Injury Claims

While obvious factors such as pricing, features and security matter when it comes to implementing AI at your law firm, lawyers should also consider the risk of the product doing damage to your cases or law firm. For example, it didn’t take long for the most recent AI tool ChatGPT to make headlines for making up case law it generated for a lawyer’s brief, leading to serious problems for the lawyer.  Shortly after this, ChatGPT owner, OpenAI, was sued when the program wrote an article falsely claiming a man had embezzled money. These instances are now being referred to as “hallucinations” of fake facts in AI generated content, and these are particularly problematic in legal practice.

With more than 99% of all personal injury cases being settled prior to verdict, writing demand letters is the primary financial activity of most personal injury law firms.  Optimizing a law firm’s demand letters, and the demand letter process in a systematic way is key to a law firm’s prosperity and growth.  AI can help law firms achieve this objective if the AI is used correctly.  There are presently three companies claiming to offer AI demand letter services; Settlement Intelligence, EvenUp and FileVine.  These three differ significantly in the expertise incorporated in them, and what they offer to licensees. So, lawyers should carefully consider their choices before committing to one platform over another.

What to Look for in Effective AI Demand Letter Automation

Can AI help your law firm create demand letters that generate higher settlement offers? Yes. First, you want to understand how some AI platforms achieve that goal and others do not.

Over 90% of auto claims in the US are adjusted using claims evaluation software, which determines a settlement range for bodily injury claims. Additionally, some insurers use bodily injury assessment software for premises liability claims and workers comp claims.  While claims evaluation software such as Colossus was first implemented in the mid-1990s by large insurance companies like Allstate and Farmers, it has been more commonly discussed in recent years as lawyers continue to struggle with low ball offers despite their efforts to combat them.

These insurance bodily injury software programs look for very specific data about a claim such as the diagnoses, treatment codes, specific information about treatment, permanent impairment rating, and more.  It’s important to know what the adjusters look for to enter into their claims evaluation software, because this information is what creates the settlement offers from their software. To achieve higher settlement offers you must provide insurers the specific data about the client’s injuries, treatment and other factors of value in a demand letter format that is optimized for the software that calculates the settlement offer.

Over 20 years of research conducted by the owners of Settlement Intelligence, and interviews with former adjusters revealed their disdain for seeing heavy narrative or medical timeline style demand letters. This is especially true when it includes assertions from the attorney that aren’t supported by the medical records, imaging, and expert reports. Adjusters and supervisors admit to setting aside the narrative-style demand letters in favor of looking for the data points in the records themselves. As you could imagine, they aren’t very thorough, and miss a great deal of information of value to client claims.  Settlement Intelligence co-owner Aaron DeShaw’s book Colossus: What Every Trial Lawyer Needs to Know details that in a large scale claim file review, adjustors missed important claim data in 100% of cases.  Which is why the demand letters must be done correctly, with the law firm including all factors provided value by the claim software used by insurers to evaluate the bodily injury claim.

Despite adjuster’s disregarding medical timeline demand letters, the ineffective medical timeline format is the demand letter style used by most of the “AI” demand letter companies. By working with them, law firms provide the exact thing insurers hate most, decreasing the settlement offers that could be obtained using an AI Demand Letter platform based on expertise in this field.  This should be an important factor in deciding which AI demand letter platform to use for your personal injury claims.

AI Demand Letters You Can Trust

AI-driven Demand Letter platform Settlement Intelligence harnesses AI that is trained by the leading demand letter author and demand letter legal consultant in the United States, giving users a seamless connection to demand letter automation using AI that works. With its founders having more than 20 years of experience and research into insurance claims evaluation software and demand letters, Settlement Intelligence provides built-in logic pathways using human-trained artificial intelligence (AI) that guides its users through the process of collecting and outlining all of the factors present in their client’s personal injury claim. Settlement Intelligence demand letters focus on the "value drivers" or data that trigger higher settlement offers in bodily injury claim evaluation software.  The user, whether that be a lawyer, paralegal or legal assistant doesn't even understand the importance of certain aspects of the claim because Settlement Intelligence seeks the information that will provide claim value, and then ensures each demand letter is formatted to provide the information to the insurer.

Not only does Settlement Intelligence offer automation, generating demand letters on-demand via a cloud-based AI-driven platform, it guides users through prompts, gathering data for the program to then outline in a format that the insurance adjuster recognizes, and triggers the claims evaluation software to offer maximum settlement value for the claim. One thing that sets Settlement Intelligence apart from other companies claiming to offer AI demand letters (more on that below) is the knowledge and expertise behind the platform’s AI. Lawyers can trust the logic pathways and artificial intelligence behind Settlement Intelligence is trained by subject matter experts who have been providing demand letter education, demand letter writing, and consulting to the plaintiff’s bar for over 38 years combined.  

The draft demand letter Word document that is generated by Settlement Intelligence’s workflow enhances efficiency and maximizes settlement value – generating higher settlement offers in less time. Settlement Intelligence aims to help lawyers realize a significant increase in the speed and amount of settlement offers when using its workflows. Higher-tier subscriptions also offer the user recommendations on how to increase settlement value even more, such as seeking out a permanent impairment rating, forms for Duties Under Duress and Loss of Enjoyment of Life (created through research of the claim software manuals), visual aids, or further explanation regarding injury prognosis.  While other companies use “Duties Under Duress” and “Loss of Enjoyment of Life” as catch phrases today as marketing points, the co-owner of Settlement Intelligence wrote the book on these phrases 20 years ago demonstrating every factor and subfactor that provides value to claims.

Know Your Options for AI Demand Letters

Founded in 2020, Settlement Intelligence, Inc. was the first company to offer AI-driven Demand Letter Automation, including custom integrations and other legal automation tailored to your practice and existing processes. Since Settlement Intelligence began testing its AI-driven Demand Letter workflows, other companies have emerged in the space, although offering a much different service to personal injury law firms. Below is a ChatGPT generated comparison matrix comparing the three leading AI Demand Letter companies. Each of these companies provides a unique service that may benefit your legal practice, depending on your interest in getting the best outcome for your clients, and your budget.

While there are some similarities between the three companies, there are also some very clear differences.  The following topics should be the most important to lawyers in choosing an AI Demand Letter platform for their personal injury claims:

Direct Access & Instant AI Demand Letter Generation:

Value: High

There are two ways that these systems work presently, and for more on this, see the related blog post.

1. You submit your claim to the service and then wait for them to complete the work. Presently, EvenUp has law firms send the client file to them, then they assign the case to someone to run your claims through their software.  Their website advertises one week turnaround time for the demand letter. A review of the demand letter templates and actual work product from EvenUp demonstrate a medical timeline style demand letter with projected future economic damages (whether or not confirmed by a doctor or economist) and comparable verdicts obtained by other lawyers. (For more on this serious problem, see the Settlement Intelligence FAQ.) 
   
   It appears that FileVine is doing the same – moving data from the law firm’s FileVine account, sending it to third-party reviewers to start the demand letter preparation.

EvenUp adopted these methods in 2021. 
DemandsAI launched in 2023. 

By contrast, Settlement Intelligence co-owner Aaron DeShaw created the method of writing demand letters based on the computer systems used by insurers in 2002 and has used it since that time. Both owners of Settlement Intelligence previously owned Auto Claim Experts, which started doing demand letter writing work using this method in 2010, working with a team of doctors, nurses, lawyers and paralegals to write demand letters for other law firms.  Settlement Intelligence has a 20 year lead in terms of expertise, a much deeper understanding of the demand letter necessary to trigger maximum value, and has consistently written demand letters for attorneys for 11 years longer than EvenUp.

There can be problems with outsourcing your demand letter writing, and the major ones are these;

2. Direct Access to the AI Platform. Unlike other demand letter services, Settlement Intelligence offers direct access to their platform, leaving you and your team in control of when the demand letter is drafted and generated.  Its user-friendly interface allows for seamless transition of data from medical records to the Settlement Intelligence workflow, and you can save your work. You and your staff know the case best, the client gets the expertise they hired you for, and you get optimized demand letter structure – optimized based on insurance claim software and the past 20+ years of experience.  Purely based on timeliness, you and your law firm staff can use best practices to create your demand letters any time of day and generate the demand letter immediately upon completion of the data entry.

Content of the AI demand letter:

Value: High

Content of the demand letter is most important, because the specific case facts determine the value of the client's claim. Based on samples, company brochures, and final work product reviewed by our team during consultations for law firms, EvenUp’s demand letters are mostly formatted as a medical timeline, with projected future economic damages, and comparable verdicts from other lawyers (discussed below).

It is presently unclear what FileVine’s system is doing other than pulling some client data from the FileVine system and then outsourcing claims evaluation to unknown third-parties. 

If AI is actually doing the work of evaluating the claim as these companies claim, one must wonder if the claims evaluations are subject to the “hallucinations” of fake facts in AI generated content that we are seeing generated by ChatGPT in legal cases. Needless to say, making false claims in an insurance claim would be very problematic for the lawyer.  In a recent article in Techcrunch, subsequent to venture capital investment in EvenUp, this was a noted concern; “EvenUp hasn’t disclosed where it sourced the medical and personal injury documents that it used to train its AI — nor whether it took steps to notify the original owners of those records.”  Nor do samples of EvenUp’s demand letters contain AI generated narrative analysis of the client’s injuries.

Settlement Intelligence does not use generative AI to write the demand letters.  There is no concern about false information being inserted into a demand letter.  Instead, Settlement Intelligence creates a demand letter reverse engineered from the way insurance claim software works, based upon information entered by you or your staff.  In other words, we are capturing the exact information provided value by the insurance company software and then creating the demand letter using that data, organized in the order that insurance companies need it for entry into their claim evaluation systems.  That is a dramatic difference in the way AI is used to create the demand letter, as well as the end outcome.

Expertise in Demand Letters

Value: High

Expertise in insurance claim software, insurance claims process and demand letters are the largest difference between the programs.  Settlement Intelligence is the only AI Demand Letter software that is created by insurance claim software experts, with built-in logic pathways and a proprietary process with proven results.

Settlement Intelligence’s founders are not new to this space like their competitors. They have an extensive history in the field of personal injury demand letters and claims evaluation.  Aaron DeShaw researched and wrote the definitive book on claims software in 2001-2004 (500+ pages), has been involved in class action litigation regarding insurance claims software, and has lectured on his demand letter method based on those systems extensively since that time.  He has been published in multiple state and national trial lawyer journals on the topic of demand letters since 2005.

In 2010, DeShaw and Charlette Sinclair started Auto Claim Experts, analyzing claims and writing demand letters for lawyers with a team of doctors, nurses, lawyers and paralegals trained to use their specific methods and formats.  Sinclair acquired Auto Claim Experts in 2013 and pioneered a set of fine-tuned demand letter formats tailored to trigger the top 3 leading claims evaluation software used by insurers like GEICO, Allstate and Progressive. She is the leading demand letter consultant in the US since 2010, working on thousands of claims for lawyers throughout the United States and Canada.  Sinclair, who also developed legal AI for a Fortune 100 company, and a medical AI company, turned her attention to developing the Settlement Intelligence Demand Letter AI platform to automate the proprietary demand formats and methods in order to achieve maximum settlement offers for more people around the world.

By contrast, EvenUp was started as a funding company by Rami Karabibar (who previously worked in private equity, venture capital and venture-backed startups), Ray Mieszaniec (previously in banking), and Saam Mashhad a former defense lawyer.

Intelligent Design that Reformats the AI Demand Letter in Response to Your Claims

Value: Moderate

The Settlement Intelligence platform concentrates on what we know about the method used by insurers to evaluate claims.  If an insurance adjuster enters certain information about a claim, the insurance claim software seeks additional information about that claim that will not appear without that entry.  Settlement Intelligence similarly adapts to the type of claims you are making.  

At Settlement Intelligence, the user enters information into the platform. (Higher tier subscribers can use integration to pull data from their case management software.)  In response, the Settlement Intelligence platform seeks additional information based upon what the insurance claim software values monetarily.  Every demand letter differs based upon the information entered.  All of the facts are laid out in the optimal format that has been researched, tested and refined for the past 20+ years on thousands of claims.  The platform reproduces our expert knowledge of the way claims evaluation software operates.

When it comes to triggering claims evaluation software, that feature is unique to Settlement Intelligence. Settlement Intelligence is also the only company with a provisional patent on their proprietary demand letter process and SaaS workflow.

While our primary demand letter licenses offer a far superior product, the added features and performance of the Enterprise plan are even more robust. Settlement Intelligence fine tunes the demand letter for different insurers, as well as first party vs. third party claims. For example, the way Settlement Intelligence formats State Farm and GEICO demands will be different from Allstate or Progressive. The Enterprise subscription plan also offers custom integration and other workflows customized to your practice and existing processes, helping you automate other tedious tasks within your practice.

Integration with Client Management Software

Value: Low

This topic is of much lesser importance because it does not impact getting better offers for the client.  Nor does it result in faster offers from an insurer.  It's primary purpose is in reducing staff time by a few minutes per demand letter.

There is not a great deal of data from a client management software system that will apply to the creation of a demand letter because CRMs typically do not contain the same type of data as a demand letter.  But, there are some fields of data that can be imported to save a few minutes per case.  That largely depends upon your law firm's use of the CRM, whether you have created custom fields for data, and how much data your law firm is entering into the CRM. The client data that could be pushed from a CRM to an AI demand letter platform is:

• The client's name;
• The defendant's name;
• The adjuster contact information;
• A statement of the case (if entered); and
• The medical bill totals (if entered). 

These can be cut and pasted manually in about one minute.  To save this time requires integration between the CRM and the AI demand letter platform.

FileVine's DemandAI advertises that its program is pulling data from the client’s Filevine case management system and then autofilling information in their demand letter templates.

EvenUp has announced integration to Litify, and it is likely that there is an integration with Clio given their recent investment. It is unclear if either of these two products allow for integration to other case management software.

The data required for the Settlement Intelligence workflows can be ported from FileVine, Litify or other Client Management Systems to Settlement Intelligence via its Application Program Interface or “API.”  This should allow you to use Settlement Intelligence with any of the major cloud based client management systems.

The problems with AI generated medical timelines in AI Demand Letters:

Perceived Value: High. Actual Value: Low.  Potential Impact: Negative

Twenty years of experience on this topic, including review of tens of thousands of documents (training manuals on the programs, adjuster training manuals, etc.) as well as former insurance adjuster and insurance supervisor interviews, suggests that insurers generally dislike and often disregard demand letters that are either primarily narrative in nature, or worse, a medical timeline.  The adjusters can read the medical records themselves and when the demand does not provide something of material value to them in adjusting the claim, they will disregard the demand letter.  We’ve known this for approximately 20 years.

Despite this, that is exactly what EvenUp is providing – demand letters based on medical timelines.

Could Settlement Intelligence do this using generative AI? Yes.

Do we avoid AI generated medical timeline demands for a good reason? Yes. 

Why? Because it fails to provide adjusters the information they need, in the format that is most helpful to them in evaluating the claim.  If it results in them disregarding the demand letter, it clearly isn't providing additional value to the client's settlement offer.

The problems with AI generated economic damage projections in AI Demand Letters:

Perceived Value: High. Actual Value: None.  Potential Impact: Negative

Another problem is unsubstantiated lawyer allegations.  In Settlement Intelligence’s 20+ years of research on this issue, the message from insurers is clear – if the allegation in the demand letter is not substantiated by the medical records, imaging or an expert report, the claim cannot be entered in the insurance company software or provided any settlement value.

One of EvenUp’s primary advertising points is the AI generation of future special damages /  economic damages for a case.  The problem is, anyone (including EvenUp) can project any amount of future economic damage loss for their client, but without support from a doctor, voc rehab expert or economist evaluating that client’s specific case, and opining on a specific monetary loss, the adjustor will not enter the information. If the information cannot be found in the medical records, expert reports or visibly observed by the adjuster, it will not be provided value by the insurer.

Statistical projections of future diminished earning capacity based on data tables has been available on the internet since the early 2000s (or earlier). In theory it is a great idea.  But, using these future economic damage projections without an expert opinion on your client’s specific case provides no claim value. 

What these economic projections could do, however, is expose you to a legal malpractice claim if you don't hire an economist to support the future medical bills or future diminished earning capacity claim.  If the demand letter you send on a case is seen by the client and your demand letter projects $1,000,000 future economic damages and then you settle for $25,000, it will look like you were negligent in handling the claim.

What is the value of AI generated wage loss values if you don’t have an expert report? $0.00

What is the value of AI generated wage loss value if you have an expert report? $0.00   Instead, the amount of the special / economic damage loss is dependent upon the expert report, not the AI generated demand letter tables. 

As a result, we see no value in AI generated future economic damage loss calculations in the demand letter.  But, this is one of the primary promotional points of EvenUp.  We agree that in theory it is a great idea, and looks impressive (as did economic damage projection programs in the early 2000s).  But, using these economic damage projections without an expert opinion on your client’s specific case provides no claim value.  It is the inclusion of things like this that demonstrate an emphasis on fancy features of no value, instead of focusing on what provides you and the client a higher settlement offer.  At Settlement Intelligence, we focus on providing a clear method of success by incorporating valuable features and by intentionally excluding features that look good but damage your credibility.

If you have a doctor, voc rehab expert or economist providing opinions about future medical costs, and future diminished earning capacity, Settlement Intelligence provides you the ability to enter that information and cite the expert supporting the claim.  But, to claim a large future loss with no expert substantiation just damages your credibility and will not result in a higher offer unless the injury is so obvious that the adjustor knows there will be a future loss of earning capacity (such as in a catastrophic injury claim where the past and future wage loss is obvious.)

AI generated average settlement values:

Perceived Value: High. Actual Value: Low.  Potential Impact: Very Negative

Another one of EvenUp’s primary features is generated average settlement values.  But, how useful is this data?  Settlement Intelligence’s expertise in this field again provides important answers.

Settlement Intelligence does not offer a recommended settlement range for very good reasons. The owners of Settlement Intelligence have a deep understanding of the plaintiff bar, and how claims are actually evaluated.

Settlement Intelligence is co-owned by a plaintiff lawyer who has reviewed over one million documents on insurance claims practices and is the founder of leading litigation publisher Trial Guides. We know that proposing a settlement amount is not advisable.  There are several reasons.

All lawyers are tracked by federal tax ID number, and litigation history. This has historically been tracked in internal insurance company software, but more recently this information has been expanded by a program called Premonition, and integrated into Colossus and Liability Navigator – programs used to evaluate claims by many of the top auto insurers.  As a result, it appears that information on plaintiff lawyers is now shared across companies and platforms, as well as containing information from court documents on motions and jury verdicts, including data from jury verdict reporting agencies.  Your history of outcomes is factored into the settlement offers to you and your clients.

Every lawyer has a different reputation. Research by Stanford Law School Professor Nora Engstrom, as well as DeShaw’s observations as the publisher to many of the nation’s leading trial lawyers, suggests that there are multiple tiers of plaintiff lawyer quality, and the same case with a lawyer in each of those tiers will have very different values.

To have a program predict claim value in a case the same for a lawyer working in a high volume law firm that has a history of settling every case no matter how low the offer, and suggest that the settlement value will be the same as if the same client is represented by Brian Panish, Mark Lanier, Rick Friedman, Nick Rowley, or another elite trial lawyer that obtains massive trial verdicts, makes no sense. Insurers do not apply the same value to those two types of lawyers. This is why using comparable jury verdicts makes no sense unless it is the same lawyer or a lawyer with a very similar performance history. 

There must also be a consideration about case venue.  Most experienced lawyers know that the same case in two different counties will result in dramatically different outcomes.  Or a difference between state court and federal court.  An even larger difference is between one state and another - with average claim values varying dramatically between states.  The question is, can the AI differentiate lawyer quality and case values between specific counties and courts? Insurers attempt to do this with the assistance of millions of claims over decades, but still are often wrong when looking at "comparable claim values."  This is because every client and case has different facts that can dramatically change the value of a case.

Keep in mind that the projections of case value also consider the potentially unsupported economic damage evaluations discussed above and compare those to cases with expert witnesses supporting those economic damages.

There are potentially very negative consequences to having this data in a demand letter, and the client's file.  Lawyers should be concerned that if an average claim value is generated by AI in the demand letter based upon a large data set (potentially from other parts of the United States and with other lawyers), and the lawyer fails to achieve that financial outcome, whether the lawyer will be subject to a malpractice claim or an ethics complaint if the lawyer pushes a client toward settlement for less than AI’s stated claim value.  With AI providing a case value based upon the outcome of all lawyers, that determination provides objective proof in the client's file, that any lawyer failing to obtain that outcome settled for less than the claim was worth.  At best, the customer reviews for your law firm probably won’t help you secure future clients.  

Case outcomes can make a significant difference in the offer if you have a positive history.  For that reason, there is a section in Settlement Intelligence for lawyer to highlight each lawyer’s recent verdicts and settlements, as you may have information about your trial and arbitration history that is outside the insurer’s internal or external database that could be important to the evaluation of your claims. What we don't do, is project a value when your knowledge of the client, case facts, venue and professional history are the best determinants of the correct claim value.

Onboarding & Support of the AI Demand Letter Platform

Value: Dependent Upon Circumstances

When you license Settlement Intelligence you are granted access and can start using the program the same day.  In most cases, you can go from licensing to generating your first demand letter the same day. While some customers choose to hit the ground running and start using the workflows right away, others take advantage of the free onboarding and training offered.

Superior support is also a pillar of the Settlement Intelligence brand. Customers can expect a response to support tickets within 24 hours.

To implement FileVine’s Demand platform you will first have to license FileVine, move your law firm’s case files to FileVine, and enter all of the claim data that isn't moved with the data migration.  Once that is done and you want to generate a demand letter, you will wait for the claim analysis by their staff.

With EvenUp you will submit your claim.  As noted above, the proposed wait time is one week with the person they assign to that case.

At Settlement Intelligence, we've had customers buy a license, start a demand within a few minutes without any training, and complete their first demand within a few hours of licensing the program.  While we offer free onboard training, many customers do not need it, and get started immediately.

Data Security

Value: High

Security is also crucial when it comes to cloud-based SaaS products for law firms. With data privacy and security top of mind, it appears all three AI Demand Letter companies outlined above offer industry standard privacy and security, which is required when it comes to HIPAA and client confidentiality. 

When considering data privacy and security for your cloud-based AI demand letter solution, it’s also important to consider a company’s use of third-party applications and data transfer policies. Settlement Intelligence prides itself on data governance, maintaining the highest level of confidentiality, data privacy and security standards, and ensures your client’s protected health information is secure at all times.

Revolutionizing Legal Automation

Not only does Settlement Intelligence offer a superior AI demand letter program, but future improvements on the horizon will further revolutionize legal AI and automation for the plaintiff’s bar. As Settlement Intelligence continues to receive feedback from its customers and fine tune its AI platform, we also look forward to expanding our service offerings to include expert demand letter consultation, and a variety of other additional automated workflows that help maximize law firm efficiency.

Conclusion

AI is a powerful technology that will change the world in significant ways.  AI is also a catchphrase used to attract business and venture capital investments to businesses with little background in a field.  As we’ve recently seen with cryptocurrency and NFTs, those new technology opportunities can be real, while at other times they are based upon nothing of any value and can result in  financial losses and reputation damage.   In making your choice about which platform to license, you have the choice of a platform based upon 20+ years of industry leading expertise, or choosing a platform with capabilities that won’t provide your case any value and potentially hurt your reputation. 

As technology continues to advance, personal injury lawyers should embrace and leverage the benefits of legal technology to thrive in an increasingly competitive landscape. Law firms that settle most of their cases will need to adopt these methods to compete, because their competition certainly will adopt methods to obtain higher settlements in less time using AI demand letters.

Regardless of which AI-powered Demand Letter platform you choose, ensure that it is best suited for you and your firm’s needs to deliver exceptional representation for your personal injury clients, and achieve maximum settlement value for their claims. By staying abreast of emerging technological trends and adopting relevant tools, personal injury lawyers can maximize their effectiveness and achieve better outcomes in their practice.

For more information about Settlement Intelligence please schedule a demo.