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Large, Well-known Massachusetts Franchisees Face Recent Labor Violations

August 2023 • Source: Michael "Maz" Mazurczak, Melick & Porter, LLP

Over the past three months, two national brands have paid large settlements to workers for labor violations at various Massachusetts locations. First, two Dunkin’ Donuts franchisees, located in central and southeastern Massachusetts, were fined a collective $370,000 for child labor violations. After a complaint to the Attorney General’s Office alleging that the locations were in violation of M.G.L c. 149, investigators uncovered over one thousand instances of violations of child labor statutes.

Between the two locations, the violations included employing minors after 8:00 P.M. without adult supervision, employment of 16- or 17-year-olds for more than nine hours a day, employment of minors earlier than 6:00 A.M., and failing to obtain valid work permits. Since January of 2022, the AG’s Office has issued 32 citations against various Dunkin’ franchisees, the majority being related to child labor violations. In sum, the violations have totaled over $560,000.

Similarly, in June, Dave & Buster’s was cited for breaking similar Massachusetts labor laws surrounding meal breaks and child labor, leading to it paying $275,000 in settlement to over 800 aggrieved employees. The violations came following a parent’s complaint to the AG’s office after their child was denied meal breaks and forced to work past midnight on a weekend.

What does this mean? With such well-known brands making news headlines and paying large settlement amounts over a few months span, it would not be surprising to see parents of young workers continue to file complaints with the AG’s Office and look to “cash-in.”  Employers must remain aware that, in Massachusetts, employees are required to receive a 30-minute meal break (where they can leave the premises) if his/her shift is longer than six hours. Further, on school nights, 16- and 17-year-olds may not work past 10 P.M. Employers must remain vigilant of these, along with the rest of Massachusetts child labor laws, which can be found summarized at the link below:

Reshaping the Human Experience and Exploiting the Human Condition: The Disturbing Reality and Risk of Unregulated Technologic Developments

August 2023 • Source: Elizabeth S. Fitch, Melissa Lin, and Kyle James, Righi Fitch Law Group

The most disturbing reality with emerging disruptive technologies is the absence of ethical and regulatory oversight.  A Google whistleblower is claiming that Google built a machine that has human consciousness.  Google immediately fired him and issued a press release that Artificial Intelligence (“A.I.”) is nowhere close to human consciousness.  But how would the average human know?  We don’t!  Another disturbing technologic development is Deep Fake technology.  Deep Fake software developers are hard pressed to articulate why this technology is helpful to humanity, yet forge ahead at light speed to get their products into the market.  While the value of vehicle telematics to cell phone data tracking to reduce risk is well documented, there is still very little oversight and thought about the downsides and misuse of these technologies.  It is critical that insurers and attorneys understand the risks presented by these emerging and disruptive technologies so that claims professionals and defense lawyers can begin to build strategies and initiatives to handle unique claims from the implementation of these technologies. 

I. Artificial Intelligence 

"A.I. is probably the most important thing humanity has ever worked on.  I think of it as something more profound than electricity or fire." – Sundar Pichai 

Both businesses and individuals have become increasingly reliant upon A.I. and current trends show that we are only going to become more dependent as time goes on.  In the McKinsey Global survey conducted in 2021, 56% of businesses reported the adoption of A.I. to perform operation functions.  As the current trend toward A.I. increases, it is important to regulate these machines or negative consequences may follow what Pichai believes is “the most important thing humanity has ever worked on.”  

A.I. in the medical field could help doctors focus more on procedures instead of administrative tasks.  A GPT-3 based chatbot was created to aid doctors in dealing with patients.  Its design would help schedule appointments or talk with those struggling with mental health.  Unfortunately, the A.I. reportedly had multiple issues handling simple tasks such as determining the price of X-rays and had time-management problems while scheduling patients.  The A.I. also drew major concerns over its handling of mental health, telling a fake patient in an experiment to commit suicide during one of its tests.  The consequences of lack of oversight in this scenario could have caused a loss of business or even life.  When these machines are programmed they cannot discern whether such harms like telling a patient to kill themselves are good or bad; they simply do what they are programmed too.  This can cause additional harm when the biases belonging to society are replicated in A.I.

Automated systems designed to be impartial and eliminate human bias can at times magnify the biases people have instead of mitigating them.  An example can be seen in the criminal justice system.  As trends toward A.I. reliance increase, the harm of potential automated decision making in the criminal justice system grows.  Predpol, a software developed by the Los Angeles Police Department, was designed to predict when, where, and how crime would occur.  This approach wound up disproportionately targeting lower income and minority neighborhoods.  When a study was performed on the overall crime in the city, the study showed crime was much more evenly distributed than the A.I. indicated.  Sentencing can also be decided by A.I., assessing whether a defendant will recidivate.  Without the proper oversight, the criminal justice system may take the A.I. probability for recidivation as an impartial estimate free from bias.  A 2016 study by ProPublica determined one such A.I. was twice as likely to incorrectly label black prisoners as being at high risk of reoffending as white prisoners.  While the race of the prisoner was not directly considered by the A.I., the other variables that were considered clearly disfavored black Americans.  As a result, many black prisoners may be getting stricter jail sentences or higher bail because these A.I. are incorrectly labeling them. 

Such biases potentially held by A.I. can spread through other institutions.  An audit of a resume screening tool found that the two main factors that were strongly associated with a positive job performance were the name Jared and whether the applicant played lacrosse, two factors that are more prevalent in whites instead of nonwhites.  If this is combined with a belief that A.I. is impartial and there is no oversight looking for prejudicial factors such as these, affected job applicants can be left with no legal claim to address potential employment discrimination.  Issues like these don’t often reach wealthier hires for high paying roles; these potential employees are often looked at by other people.  Instead A.I. is more likely to review workers that apply for lower income jobs that may not have the resources to seek relief.  

A. ChatGPT*

ChatGPT is one such A.I. software, already being used across the country. The emergence of ChatGPT, a revolutionary language model developed by OpenAI and free for anyone on the planet to use, has brought both excitement and trepidation to the realm of artificial intelligence.  Just as with other disruptive technologies, the concerns about ethical and regulatory oversight are becoming increasingly pertinent within the domain of A.I. language models.

ChatGPT operates based on patterns and information present in the massive datasets it was trained on.  While its ability to generate human-like text is impressive, it also inherits the biases encoded within these datasets.  These biases can range from gender and racial biases to socio-economic and cultural prejudices.  Just as seen with A.I. systems in other sectors, ChatGPT's outputs may inadvertently amplify societal biases, exacerbating rather than alleviating them.  For instance, if prompted with text containing subtle biases, ChatGPT might unknowingly generate responses that reinforce those biases.  This can lead to harmful consequences when used in contexts such as providing customer support or generating content for various industries.  Imagine a scenario where ChatGPT is employed to assist in human resources, and its responses subtly favor certain genders or ethnicities during candidate evaluations, perpetuating discrimination in hiring processes.

ChatGPT's remarkable ability to generate coherent and contextually relevant text can sometimes blur the lines between factual accuracy and fabrication.  The model lacks a true understanding of the world; generating responses based on patterns it learned during training.  This becomes a significant concern when considering its use in sensitive sectors like healthcare or law.  Like the medical A.I. discussed earlier, ChatGPT could generate responses that, although coherent, might contain misinformation or potentially dangerous advice.  For example, if asked about medical symptoms and treatments, ChatGPT might produce information that, while plausible sounding, is incorrect and potentially harmful if followed.

One of the pressing challenges with ChatGPT and similar A.I. models is their potential to contribute to the spread of misinformation.  Given their ability to generate text that resembles human-authored content, these models can unwittingly contribute to the dissemination of false or misleading information.  In a world where fake news and misinformation are already significant concerns, the unregulated deployment of A.I. language models like ChatGPT adds another layer of complexity to the battle against false information.

While the capabilities of ChatGPT and similar A.I. language models are undeniably impressive, their unfettered use raises serious ethical and regulatory issues.  Just as with A.I. in other domains, there is a pressing need for oversight, transparency, and bias mitigation in the deployment of ChatGPT.  As A.I. continues to weave itself into the fabric of human society, it is imperative that we engage in thorough discussions and implement safeguards to ensure that these technologies contribute positively to our world without exacerbating existing challenges.

*Everything in this section was written by ChatGPT 3.5. We inputted the A.I. section of the article into ChatGPT’s textbox and prompted it to write the ChatGPT section following the style and content of the preceding information. As you can see, it “recognizes” the potential pitfalls of its widespread use and the clear need for oversight.  What is also apparent is its constant need to compliment itself.                           

B. Artificial Intelligence Oversight 

A.I. oversight is a necessity if manufacturers wish to mitigate some of the issues and biases of A.I.  In 2015, there was only one bill that proposed regulations involving A.I.  In 2021, there were 130.  This increase shows that more people are becoming aware of the prospects A.I. has to offer as well as the threats A.I. can pose if not properly controlled.  If the public perception surrounding A.I. is that they are perfect, issues with A.I. regarding bias can be brushed off as simply following a program created to be objective.  

A recent poll shows Americans fear that A.I. may come with other negative consequences that may potentially create new legal issues.  A national poll on behalf of Stevens Institute of Technology showed a loss of privacy is one of the leading issues surrounding A.I. with GenZers being the least concerned (62%) and Baby Boomers being the most concerned (80%).  Most respondents (72%) believe that countries or businesses may irresponsibly use A.I. and most of them (71%) also believe that individuals will use A.I. irresponsibly.  While this does show concern for the growth of A.I. technology, more than a quarter of respondents polled (37%) do not believe that A.I. will lead to gender bias.  These respondents could be discriminated against in ways they could not readily perceive and not have the resources to file a claim. 

The respondents show that while A.I. may be accepted in society, sufficient oversight is a necessity.  A possible solution is to employ more diverse A.I. teams to help produce the data sets.  Diversity can create data sets that are better representatives of society at large and can potentially mitigate some of the biases that A.I. technology may have.   

II. Deepfake Technology

One of the more feared A.I. technologies are deepfakes.  The inherent danger of deepfakes comes from the inclination of people to believe what they see and/or hear.  The term “deepfake” means a technology that involves a subset of machine learning techniques or “deep learning techniques.”  Deep learning is a subset of machine learning, which is a subset of A.I.  Here, a model uses training data for a specific task.  More data given to the task will allow for sharper and higher quality models.  This data can be used in replicating videos, images, audio, text, and potentially other forms of media.  In 2020, a deepfake programmer was able to produce realistic tracks by Jay-Z, Elvis, and Frank Sinatra by using old, released music.  

One of the more commonly known uses of deepfake technology is the face swap.  This is when the face of one is placed upon another.  The face placed on another seems to come to life matching the mannerisms of someone speaking or doing some other activity.  It can be seen in movies when the face of an actor is made to be younger and placed on screen on the body of another actor and has even been used to show deceased actors faces on screen for a scene.

Although the movie industry has benefitted, actors such as Kristin Bell, Scarlett Johansson and Gal Gadot have all fallen victim to a harmful usage of face swaps called deepfake pornography.  Deepfake pornography is when a face swap is used on an individual (commonly someone famous) and placed on pornographic content.  The idea behind this is to make the individual look as if they were engaging in the pornographic conduct themselves.  Face swaps can be accompanied by a deepfake technique called lip syncing.  Here, voice recordings from different videos are recorded to make a subject appear to say something.  This technology is accessible to most people and examples of deepfakes that fooled hundreds can be seen on apps such as Tik-Tok, YouTube, and Facebook.  

The accessibility of deepfake technology bring questions as to potentially what can be done to protect against its misuse as its issues become more pervasive.  In 2020-21 over 100,000 deepfake pornographies of women were created without their consent or knowledge.  In 2021 a deepfake called A.I. Dungeon generated sexually explicit content of children.  Such technology is rapidly improving and drawing concerns over how to counter or regulate it.  The possibilities of harm that may result from deep fake technology are numerous.  These harms include possible fraud, cyberbullying, spreading of misinformation, fake evidence in court proceedings, and even child predators masking their age when attempting to meet minors. 

A. Deepfake Oversight:

While deepfake technology is new, bills are being passed to help combat it.  Virginia currently has an amended revenge porn law that includes deepfake pornographic content of a nonconsenting individual.  Current laws can also be applied to deepfakes depending on how they are used.  For example, if one uses a deepfake for extortion or fraud they would be charged with those respective crimes.  As the quality of deepfakes improve our awareness of them does as well and companies have been suggested to improve awareness of these deepfakes to mitigate the harm that may potentially come.   

III. Telematics

A. Telematic dangerous propensities

Telematics can also be dangerous without proper oversight.  Telematics refers to the combination of telecommunications and information processing.  This brand of technology is responsible for tracking (GPS) and insurance assessing risk factors.  Insurance companies can oversee whether an individual is an accident risk and adjust insurance premiums accordingly.  Insurance companies may even be held liable if nothing was done in response to potentially risky driving behaviors.  Telematics have provided vehicles with benefits like the ability to disable a car when stolen, or the software to unlock doors and enact heated seats.  While the introduction of telematics may seem all well, without oversight the tracking feature in vehicles and cellphones can provide negative consequences.  

B. Telematic Oversight

Around 26 states have shown growing concerns over privacy violations that may be present in both vehicle and cellphone tracking.  While this has been a growing concern for citizens, multiple states are acting to place vehicular or cellular tracking under the statute of stalking.  Data tracking on cellphones is another issue that people are largely aware of and has potentially worse consequences than vehicle tracking.  Cell phones are always on our persons and can reveal the most intimate details of our lives.  The federal appeals court stated, “a person who knows all of another’s travels can deduce whether he is a weekly churchgoer, a heavy drinker, a regular at the gym, an unfaithful husband, an outpatient receiving medical treatment, an associate of particular individuals or political groups — and not just one such fact about a person, but all such facts.” Legal precedent has been able to alleviate some concern for governmental intrusion into cellphone data and tracking.  The fourth amendment would apply here, and in most cases requires a warrant to track an individual’s cellphone location data. 

IV. Claims Professional Response to A.I. and Telematic Liability

With an increase in A.I. and telematics, claims professionals will need to make a fundamental shift in the processing and evaluation of claims.  These claims will require far more technological sophistication.  The claims handler will be well-served by developing a deep understanding of technology and approaching A.I. and other emerging technology claims like complex product liability as opposed to simple negligence cases.  This is because any accident that involved the product could have been caused by its A.I.  Claims professionals will have to be prepared to follow the chain of production for any A.I. sold to determine which point of the manufacturing process may have been responsible for the damages.  Therefore, it will be crucial for claims professionals to find experts for various types of A.I. to analyze claims and determine if the A.I. malfunctioned and who is to blame if it did.  Additionally, claims professionals that cover producers of A.I. products will need to adjust their rates based on how predictable the A.I.’s behavior is and the products’ potential to cause damages if the A.I. malfunctions.

The evolution of technology necessarily results in the evolution of insurance products.  New insurance products are already being developed to respond to the risks associated with artificial intelligence and emerging technology.  Claims professionals will need to keep abreast of the insurance product iterations to conduct a proper coverage analysis at the outset of the claims handling process.  

Like with A.I. products, claims professionals will also need to gather new resources and experts to evaluate the unique dangers IoT devices present.  Claims professionals will not only need to be able to tell if an IoT device’s programming was the cause of damages in a claim, but also if a lack of cybersecurity caused the damages.  Furthermore, because any company could be liable for a cybersecurity breach, claims professionals will need to evaluate the cybersecurity measures companies are taking for IoT devices connected to their network to determine risk and evaluate claims.


While the introduction of emerging technologies can aid society, it requires sufficient oversight.  These machines are not perfect, and if they are used negatively, can do more harm than good.  As technology grows, it is important that the legal system and the society that manufactures A.I. grow in awareness of the negative consequences such systems may have, and use the oversight necessary to remedy, mitigate, or take accountability for any potential pitfalls.  


Rule 11 – An Underutilized Tool – One Defense Attorney’s Thoughts

August 2023 • Source: Elizabeth R. Sharrock, Partner, Rhodes Hieronymus Jones Tucker & Gable, PLLC, with assistance of Scott Love, Intern

What to do?  What to do?  We’ve all heard that the defense bar tends to lag in its response to the latest-and-greatest strategies employed by plaintiffs’ counsel to bludgeon defendants and their insurers into settling claims that are winnable and enhancing jury verdicts beyond something resembling justice.  Think Reptile.  Think unanchored verdicts (i.e. waiving medical specials results in higher verdicts).

What if, in unison and across the country, we were to seek Rule 11 (or applicable state statute) sanctions more often, and even preemptively at the outset of litigation?  What if, in unison and across the country, we conduct discovery in a sort of “Defense-Reptile” fashion – calculated to draw out potentially sanctionable conduct of the opposition.  Of course, we would do so consistent with our ethical obligations and only when the facts of a case so warrant. 

Ponder it.  If we pick and choose our battles wisely, over time we could build a pretty impressive databank of motions/briefs with supporting precedent to share amongst ourselves.  Over time, judges may become less hesitant to issue sanctions.  We just might get plaintiffs’ counsel to more carefully scrutinize the cases they decide to file, and certainly to consider voluntary dismissals and enter into smaller settlements. 

This all came to a head for me as I defend a client in a tragic double fatality case.  There’s more to the story, but I will remain brief in my description.  Simply, a federal agency charged with investigating deaths of this nature, found that another party committed “willful” violations directly resulting in the loss of life.  Yet, no voluntary dismissal of my client has been forthcoming.  Did I provide opposing counsel with a safe harbor warning?  Yes, it was a very detailed roadmap.  Did I file my motion after they failed to cure?  Yes.  Do I know the outcome yet?  No.  But, do I have a pretty good idea as to whether my client will soon prevail, or if the trial court is not quite ready to pull the trigger, will later prevail on a re-urged request for sanctions?  Yes.  Worst case scenario, even if the trial court hesitates to issue sanctions, have I educated the court?  Yes.  Do I have a really solid start on a summary judgment motion?  Absolutely. 

If the facts of the case warrant, the time and expense involved in seeking sanctions is justified.  The act of drafting a detailed warning letter to opposing counsel, and then if necessary a Rule 11 motion, serves to compel deep thought, promotes focus on applicable defenses and potentially necessary discovery, and it causes one to pen the timeline of events and material facts that otherwise must be reported to the client, albeit in a different format.  Time spent is not wasted.

Some clients may be hesitant to pay us to draft “warning shot” letters and Rule 11 motions.  Suggest to them that the exercise serves multiple purposes and actually can function as a cost saving measure.  Surely, if we provide sound reasoning for our request and we obtain approval from our clients, we can pursue this avenue of relief on a more frequent basis.  We can then share our victories in a momentum-gaining endeavor to combat the Reptile and its progeny. 

Food for much thought.

A listing of cases wherein sanctions are discussed is available here.  Who wants to join me in growing this list?


Modern Jury Research Technology: Online Solutions for Increased Reliability & Convenience

September 2022 • Source: Magna Legal Services

Both modern and traditional jury consulting practices can help attorneys gain insight into how jurors are likely to respond to case facts before entering the courtroom. However, powerful advances in technology make jury research more statistically reliable, easier to conduct and more cost-effective than ever before.

In this article, we’ll break down how modern jury consulting services work and how they may benefit you ahead of your next big trial date. 

Benefits of Using Modern Jury Consulting Technology

Advanced technology in jury research increases the reliability and understanding associated with potential juror decisions. 

These solutions offer huge benefits when dealing with complex, high-value cases, so it is imperative attorneys understand every tool at their disposal. 

Benefits include:

  • Larger data pools
  • Increased statistical reliability
  • Robust findings
  • Convenient & time-efficient sessions
  • Quick turnaround of analysis
  • Cost-effective
  • Real-time polling
  • & more

Advanced Data Analysis with Modern Jury Research Solutions

With modern jury research, attorneys are able to access larger pools of data for analysis with increased convenience and efficiency.

This benefits legal teams looking to:

  • Gauge a reliable range of potential damages if the case went to a jury trial
  • Test themes, storylines & venue climate in order to prepare the most effective trial strategy
  • Use jurors’ social media & online activity backgrounds to discover potential biases & past experiences during jury selection and throughout the trial

standard trial jury comprises individuals with diverse backgrounds and views, most without legal expertise. As such, they can be unpredictable. Technical consulting solutions provide a wide range of insights at every stage of the trial process. 

Online Tools for Reliable Jury Research

There are several solutions that offer powerful insight into potential jury outcomes ahead of an important trial date:

Online Focus Groups & Mock Trials with JuryConfirm

Featuring Evidence Analyzer Powered by AI

JuryConfirm is a highly comprehensive virtual jury research platform. Attorneys present their cases to jurors in their trial venue. Jurors then deliberate at length in the virtual courtroom, displaying their video feeds to preserve the ability to read emotions & body language. The Evidence Analyzer uses AI technology to assess juror reactions and provide related insights on your case presentation. 

Evidence Analyzer Powered by AI
Automatically takes notes & monitors jurors reactions & feedback to the presentations

Live Attorney Presentations with Limitless Capabilities
Display & annotate exhibits, videos & other visual aids in real-time

Simulated Courtroom Environment
Interactive juror profiles & live video feed of juror deliberations and attorney presentations

Real-Time Results
Fully customized questionnaires, polling & presentation feedback

Detailed Reporting
Featuring strategic recommendations and key take-aways

This comprehensive, technologically advanced framework provides all the benefits of both remote and in-person mock trials. 

Damages Assessment with JuryEvaluator

Magna’s patent-pending case valuation tool, JuryEvaluator®, offers a scientific and statistically significant damages assessment for your actual case from your actual jury pool.

This research considers the effect of current media climate to provide insight into your case risk, exposure & value.

  • Research conducted in your case venue using your actual case facts
  • Research captures present-day surrogate juror attitudes and biases
  • Statistical analyses provide a reliable range of potential damages if the case went to a jury trial (economic, non-economic & punitive)

Damages Assessment Report includes:

  • Methodology & Respondent Demographics
  • Juror Questionnaire Responses
  • Jury Simulation Data Analyses: Traditional & Pro-Plaintiff
  • Case Script
  • Juror Open-Ended Responses & Analysis with Key Takeaways
  • Damages Analysis & Allocation of Fault

Social Media Surveillance for Jurors with JuryScout

Interpret a juror’s or potential juror’s online activity to discover any past experiences or biases which can affect their perception of your case with JuryScout.

JuryScout uses include:

  • Jury Selection:
    As courts are limiting access to jurors during jury selection, online activity reports can provide additional information to show past experiences, political and religious affiliations & more.
  • Predicting Juror Behavior:
    By creating a personalized matrix of information for each potential juror, JuryScout provides insight into whether a juror has attributes that lead to bias.
  • Post-Verdict:
    Here’s an example: Following an unfavorable verdict on a high-profile case, JuryScout found cached information which located four jurors who violated the court’s instructions. Counsel was able to use this information as part of the appeal.

Which Jury Consulting Method is Right for Your Case?

Be confident in knowing how a jury is likely to approach your case.

Magna Legal Services offers a full array
of litigation consulting services, including risk assessment & strategic recommendations.

Our experienced jury consultants use a multi-phase jury research methodology to ensure the statistical reliability and robustness of our findings

Request a free case consultation with Magna today to see how we can assist you in providing the best possible representation for your clients.


Gain Important Case Preparation Time with Strategic Vendor Partnerships

Source: ChoiceLegal

In defense litigation, rapid and thorough records retrieval sets the foundation for good case preparation timely depositions and settlement options. Vendor partners with a national footprint make it seamless for defense firms when gathering employment, medical and education records. This strategic partnership frees time for paralegals and support staff to focus case on the merits of a case rather than the tedious detail of tracking requests and endless follow up phone calls.

When considering records retrieval, look for support partners who are easy to work with, advance custodial fees, offer a simple fee structure and provide document management tools that further increase case preparation efficiencies.

Easy to Work With

A successful relationship between defense firms and their retrieval partner is based on listening to the defense team’s processes and workflow. Most retrieval companies will offer a “self-serve” portal to place orders, however a true partner can take on the admin role for the client and simply receive an email with the request details and handle the order process for your firm. This frees the firm staff for higher value legal tasks.

Custodial Fee Advances

Eliminate the need for check requests and digital payments by choosing a retrieval vendor who advances witness and custodial fees on your behalf. This saves defense staff time and streamlines the final invoice with all services included in a single bill.

Transparent Fee Structure

Add on fees. Hidden fees. Mileage. Postage. The list goes on. Our suggestion? Find that partner who offers a primary pricing model and minimal-to-no add on fees so you know what your firm will be billed at all times.

Document Management Tools

Software tools like optical character readers (OCR) and records chronologies make it simple to pinpoint pre-existing conditions, extent of injury and timeline of treatment. Retrieval partner companies can provide the records in chronological order or provide digital tools for paralegals to search records based on their case criteria.  We also provide Medical Summaries of the records.  Ask us for a sample!


Last, partnering with a retrieval firm that offers IME and Bill Review integrations starts to reduce the number of individual vendors that your team must track and further increases efficiencies for your case preparation.

About Jeffrey Baker

Jeffrey Baker is Senior Vice President of Sales for ChoiceLegal. Jeff is responsible for the ongoing growth and branding on a national scale with the insurance and legal communities. An insurance industry veteran, Jeff has 27 years of experience working with legal companies. Eleven years in executive claims management and sixteen years as a vendor to the insurance and legal market.

About ChoiceLegal

ChoiceLegal is a leading nationwide medical record retrieval provider for defense firms and insurance carriers. As a dedicated partner, ChoiceLegal retrieves all types of medical records insurance defense firms may need and handles every step of the process including order entry, authorization processing, subpoena preparation, and service.

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