Over-Engineering Will Hurt Your Business

A close friend sent me a Bill Maher clip from a while back. Obviously, Maher has his political leanings, but after he gets done with flaunting those, he makes a decent point. He describes the over-engineering of society and gives some pretty striking examples. His preferred vape’s newest model has no mouthpiece despite being something you put in your mouth. Car handles are replaced with buttons in some cars despite no efficiency gains. He describes a situation where his rental car asked him if he’d like to open the trunk while going 60 miles an hour. The point is clear, change for the sake of change is not always worthwhile or efficient. Indeed, change for the sake of change can be very dangerous.

This is connected to the exaggerated claims of salespeople that I’ve written about extensively, especially as it relates to voice recognition. I described it several posts ago as the claim game. Anybody can say anything. Anybody can make their business seem like the new, hot thing. Take this blog post by Kaplan Leaman & Wolfe from about a year ago. It reads nicely, and it sounds innovative. It mentions a flat-rate fee, affordable per-page price structure, a design to significantly reduce legal expenses. At the point in 2020 the post was written, everybody was doing remote stuff. Pretty much everybody’s got a per-page price structure. Anybody can claim their service is affordable or reduces expenses. It’s called puffery and it’s an ordinary part of business.

Where it gets messy, and where I’ve tried to educate reporters, is some advertisements are easier to spot than others. If Burger King says they’ve got the best burger, most everyone knows that’s puffery and sales. Things get harder with technology. How do you prove or disprove whether someone has made a technological breakthrough without a comprehensive understanding of the science and concepts at work? Not all reporters understand the concept of machine learning. Even those of us that have researched quite a lot can’t possibly know everything there is to know. This leaves a gap for tech sellers to come in and try to fool consumers into buying services that may not suit their needs using the hype train.

Told you I write a lot about this. I read a decent amount too.

This also leaves reporters playing a catch-up game of learning about these systems so they can help their clients navigate claims and discern fact from fiction. For example, the truism that technology is improving every day. We look around ourselves and marvel at this magical modern world. But I’ve taken the pretty hard stance that certain technologies, namely voice recognition and associated technologies, are not improving every day. Give it speech it’s used to and it’ll do fine. Give it speech that’s just a little off from what it’s trained for and it’ll turn “would you raise your right hand” into “it’s rage right hand.”

Yes, it’s rage’s right hand.

But surely reinventing the wheel and all these claims of being BETTER aren’t BAD for business, right? If puffery is normal then a little bit of stretching the truth won’t hurt anybody! But we already see that’s not the case. Take Maher’s example. One little glitch on the highway and you could have dead motorists. Take the fact that 25 percent of court reporting companies may be unprofitable; court reporting has been around a long time, it’s likely the losers are the ones trying to switch it up too much too fast. Take vTestify’s massive switch from boasting about providing inexpensive court reporting services to providing an online platform for the legal industry. Take Verbit’s claims in its series A funding of 99 percent accuracy and its subsequent announcement that it will use human transcribers after all, and the very real possibility that it is, despite all its funding, not profitable.

Exaggerated claims serve only as a cliff from which these companies have a chance to walk off of or step back from. The competition is going to wise up. The consumers are going to wise up. I can only hope that a lot of these tech companies realize this, wise up, and start putting their resources behind actually improving our technology. It’s a lot easier to compete in a field with maybe seven players like Stenograph or Advantage than it is to beat out thousands upon thousands of independent contractors and hundreds of reporting firms, many with their own clients and connections. It’s frighteningly easy to see there’s a more lucrative path than over-engineering what stenographic court reporters have made simple, and I can only hope that business owners realize this before walking investors’ money off that cliff.

MGR Interviewed on the Treatment of Reporters

This month I had a chance to sit down with Marc Russo of MGR Reporting. Marc’s a working reporter and business owner. We got to hit a lot of topics in this video, including Marc’s history in the field, how reporter skill relates to reporter treatment, and how scheduling ahead can help reporting firms fill their clients’ needs.

Using Marc’s words, it’s about treating reporters like people instead of numbers.

Don’t take my word for it, check out the interview here!

A Primer on ASR and Machine Learning For Stenographers

There’s a lot of conjecture when it comes to automatic speech recognition (ASR) and its ability to replace the stenographic reporter or captioner. You may also see ASR referred to as NLP or natural language processing. An important piece of the puzzle is understanding the basics behind artificial intelligence and how complex problems are solved. This can be confusing for reporters because in any of the literature on the topic, there are words and concepts that we simply have a weak grasp on. I’m going to tackle some of that today. In brief, computer programmers are problem solvers. They utilize datasets and algorithms to solve problems.

What is an algorithm?

An algorithm is a set of instructions that tell a computer what to do. You can also think of it as computer code for this discussion. To keep things simple, computers must have things broken down logically for them. Think of it like a recipe. For example, let’s look at a very simple algorithm written in the Python 3 language:

Do not despair. I’m about to make this so easy for you.

Line one tells the computer to put the words “The stenographer is _.” on the screen. Line two creates something called a Stenographer, and the Stenographer is equal to whatever you type in. If you input the word awesome with a lowercase or uppercase “a” the computer will tell you that you are right. If you input anything else, it will tell you the correct answer was awesome. Again, think of an algorithm like a recipe. The computer is told what to do with the information or ingredients it is given.

What is a dataset?

A dataset is a collection of information. In the context of machine learning, it is a collection that is put into the computer. An algorithm then tells the computer what to do with that information. Datasets will look very different dependent on the problem that a computer programmer is trying to solve. As an example, for enhancing facial recognition, datasets may be comprised of pictures. A dataset may be a wide range of photos labeled “face” or “not face.” The algorithm might tell the computer to compare millions of pictures. After doing that, the computer has a much better idea of what faces “look like.”

What is machine learning?

As demonstrated above, algorithms can be very simple steps that a computer goes through. Algorithms can also be incredibly complex math equations that help a computer analyze datasets and decide what to do with similar data in the future. One issue that comes up with any complex problem is that no dataset is perfect. For example, with regard to facial recognition, there have been situations with almost 100 percent accuracy with lighter male faces and only 80 percent accuracy with darker female faces. There are two major ways this can happen. One, the algorithm may not accurately instruct the computer on how to handle the differences between a “lighter male” face and a “darker female” face. Two, the dataset may not equally represent all faces. If the dataset has more “lighter male” faces in this example, then the computer will get more practice identifying those faces, and will not be as good at identifying other faces, even if the algorithm is perfect.

Artificial intelligence / AI / voice recognition, for purposes of this discussion, are all synonymous with each other and with machine learning. The computer is not making decisions for itself, like you see in the movies, it is being fed lots of data and using that to make future decisions.

Why Voice Recognition Isn’t Perfect and May Never Be

Computers “hear” sound by taking the air pressure from a noise into a microphone and converting that to electronic signals or instructions so that it can be played back through a speaker. A dataset for audio recognition might look something like a clip of someone speaking paired with the words that are spoken. There are many factors that complicate this. Datasets might be focused on speakers that speak in a grammatically correct fashion. Datasets might focus on a specific demographic. Datasets might focus on a specific topic. Datasets might focus on audio that does not have background noises. Creating a dataset that accurately reflects every type of speaker in every environment, and an algorithm that tells the computer what to do with it, is very hard. “Training” the computer on imperfect datasets can result in a word error rate of up to 75 percent.

This technology is not new. There is a patent from 2000 that seems to be a design for audio and stenographic transcription to be fed to a “data center.” That patent was assigned to Nuance Communications, the owner of Dragon, in 2009. From the documents, as I interpret them, it was thought that 20 to 30 hours of training could result in 92 percent accuracy. One thing is clear: as far back as 2000, 92 percent accuracy was in the realm of possibility. As recently as April 2020, the data studied from Apple, IBM, Google, Amazon, and Microsoft was 65 to 80 percent accuracy. Assuming, from Microsoft’s intention to purchase Nuance for $20 billion, that Nuance is the best voice recognition on the market today, there’s still zero reason to believe that Nuance’s technology is comparable to court reporter accuracy. Nuance Communications was founded in 1992. Verbit was founded in 2016. If the new kid on the block seriously believes it has a chance of competing, and it seems to, that’s a pretty good indicator that Nuance’s lead is tenuous, if it exists at all. There’s a list of problems for automation of speech recognition, and even though computer programmers are brilliant people, there’s no guarantee any of them will be “perfectly solved.” Dragon trains to a person’s voice to get its high level of accuracy. It simply would not make economic sense to have hours of training a software to everyone who is going to speak in court forever until the end of time, and the process would be susceptible to sabotage or mistake if it was unmonitored and/or self-guided (AKA cheap).

This is all why legal reporting needs the human element. We are able to understand context and make decisions even when we have no prior experience with a situation. Think of all the times you’ve heard a qualified stenographer, videographer, or voice writer say “in 30 years, I’ve never seen that.” For us, it’s just something that happens, and we handle whatever the situation is. For a computer that has never been trained with the right dataset, it’s catastrophic. It’s easy, now, to see why even AI proponents like Tom Livne have said that they will not remove the human element.

Why Learning About Machine Learning Is Important For Court Reporters

Machine learning, or applications fueled by machine learning, are very likely to become part of our stenographic software. If you don’t believe me, just read this snippet about Advantage Software’s Eclipse AI Boost.

Don’t get out the pitchforks. Just consider what I have to blog.

If you’ve been following along, you’ve probably figured out, and it pretty much lays it out here, that datasets are needed to train “AI.” There are a few somewhat technical questions that stenographic reporters will probably want answered at some point:

  1. Is this technology really sending your audio up to the Cloud and Google?
  2. Is Google’s transcription reliable?
  3. How securely is the information being sent?
  4. Is the reporter’s transcription also being sent up to the Cloud and Google?

The reasons for answering?

  1. The sensitive nature of some of our work may make it unsuitable for being uploaded. To the extent stuff may be confidential, privileged, or ex parte, court reporters and their clients may simply not want the audio to go anywhere.
  2. Again, as shown in “Racial disparities in automated speech recognition” by Allison Koenecke, et al., Google’s ASR word error rate can be as high as 30 percent. Having to fix 30 percent of a job is a frightening possibility that could be more a hindrance than a help. I’m a pretty average reporter, and if I don’t do any defining on a job, I only have to fix 2 to 10 percent of any given job.
  3. If we assume that everyone is fine with the audio being sent to the cloud, we must still question the security of the information. I assume that the best encryption possible would be in use, so this would be a minor issue.
  4. The reporter’s transcription carries not only all the same confidential information discussed in point 1, but also would provide helpful data to make the AI better. Reporters will have to decide whether they want to help improve this technology for free. If the reporter’s transcription is not sent up with the audio, then the audio would only ostensibly be useful if human transcribers went through the audio, similar to what Facebook was caught doing two years ago. Do we want outside transcribers having access to this data?

Our technological competence changes how well we serve our clients. Nobody reading this needs to become a computer genius, but being generally aware of how these things work and some of the material out there can only benefit reporters. In one of my first posts about AI, I alluded to the fact that just because a problem is solvable does not mean it will be solved. I didn’t have any of the data I have today to assure me that my guess was correct. But I saw how tech news was demoralizing my fellow stenographers, and I called it as I saw it even though I risked looking like an idiot.

It’s my hope that reporters can similarly let go of fear and start to pick apart the truth about what’s being sold to them. Talk to each other about this stuff, pros and cons. My personal view, at this point, is that a lot of these salespeople saw a field with a large percentage of women sitting on a nice chunk of the “$30 billion” transcription industry, and assumed we’d all be too risk averse to speak out on it. Obviously, I’m not a woman, but it makes a lot of sense. Pick on the people that won’t fight back. Pick on the people that will freeze their rates for 20 or 30 years. Keep telling a lie and it will become the truth because people expect it to become the truth. Look how many reporters believe audio recording is cheaper even when that’s not necessarily true.

Here’s my assumption: a little bit of hope and we’ve won. Decades ago, a scientist named Richter did an experiment where rats were placed in the water. It took them a few minutes to drown. Another group of rats were taken out of the water just before they drowned. The next time they were submerged, they swam for hours to survive. We’re not rats, we’re reporters, but I’ve watched this work for humans too. Years ago, doctors estimated a family member would live about six more months. We all rallied around her and said “maybe they’re wrong.” She went another three years. We have a totally different situation here. We know they’re wrong. Every reporter has a choice: sit on the sideline and let other people decide what happens or become advocates for the consumers we’ve been protecting for the last 140 years, before the stenotype design we use today was even invented. People have been telling stenographers that their technology is outdated since before I was born, and it’s only gotten more advanced since that time. Next time somebody makes such a claim, it’s not unreasonable for you to question it, learn what you can, and let your clients know what kind of deal they’re getting with the “new tech.”

Addendum 4/27/21:

Some readers checked in with the Eclipse AI Boost, and as it was relayed to me, the agreement is that Google will not save the audio and will not be taking the stenographic transcriptions. Assuming that this is true, my current understanding of the tech is that stenographers would not be helping improve the technology by utilizing this technology unless there’s some clever wordplay going on, “we’re not saving the audio, we’re just analyzing it.” At this point, I have no reason to suspect that kind of a game. In my view, our software manufacturers tend to be honest because there’s simply no truth worth getting caught in a lie over. The worst I have seen are companies using buzzwords to try to appease everyone, and I have not seen that from Advantage.

Admittedly, I did not reach out to Advantage myself because this was meant to assist reporters with understanding the concepts as opposed to a news story. But I’m very happy people took that to heart and started asking questions.

Copyright and Stenography

I created a masterpiece about a week ago. On the left, a very horrifying creature that took about three minutes to create and was instantly copyrighted upon creation. If you took my creation and slapped it on a mug and started selling it, I could probably successfully sue you. On the right, a file snapshot of years worth of transcript work, which could be freely copied by anyone any time, at least ostensibly, as any court that decides this issue seems to decide that transcripts are not expressive work protected under copyright. Sam Glover also wrote about this years ago, but seems to have purged it from his blog. Some courts, like the one in Urban Pacific Equities et al v The Superior Court of Los Angeles County (59 Cal. App. 4th 688, 69 Cal. Rptr. 2d 635), have taken the step of ruling that the transcript does not have to be turned over under a business record subpoena because it is a product of business and not a business record, but this does not necessarily prevent it from being copied if counsel obtains it another way.

Here in New York, we do have guaranteed payment of an original via our General Business Law 399-cc (Transcripts and stenographic services). In that way, I feel the state and legislature has already partially acknowledged the hard work that we do. But it’s no secret that court reporter businesses, for whatever reason, have chosen to make originals cheap, and make their businesses more or less dependent on these copy sales. It’s often reported in social media circles that attorneys at a deposition will openly and in front of the stenographic reporter offer to copy and give the transcript to counsel that would otherwise have to order the transcript from the reporter. Why not? As best anyone can tell, it’s legal! There’s also a darker side to this. If you do not have a clear agreement with your agency stating otherwise, they can probably also legally copy your work and not tell you about it. Again, why not? It’s legal!

The question arises, what do we do about this? Many ideas have been floated over the years. Some say we should change our model to reflect the lost copy sales and consider charging in a different way, like hourly, per diem, or a higher original. Personally, I believe it would not be unfair to create a body of law protecting stenographers’ rights to their work. Transcribers would probably be equally in favor, and it would certainly slow the rate of copying if it were explicitly not legal.

Many ideas have been floated in this regard, including putting it under theft of services. I don’t think anyone supports throwing attorneys in jail over this. That’s unreasonable to me. But I do think it’s fair to create a civil penalty for the copying of transcribed work. Virtually everything else is protected via patents, copyright, or intellectual property laws, and it seems weirdly unfair to have a class of people whose work is wholly unprotected.

I would propose language to the effect of “No person or business entity shall copy, reproduce, publish, or dispose of to another a copy of the transcript of any matter transcribed or stenographically reported. A person or business entity that violates this must pay a copy sale to the stenographer or transcriber that created the original transcript. Such copy sale price shall not exceed the mean average of the stenographer or transcriber’s copy sales for the twelve months preceding the copying, reproduction, publishing, or disposal.”

Now, if we were to propose such law, there’s a strong possibility we would have to make some concessions. Let’s be fair, many of these matters are matters of public domain and importance. I would propose a few important carve outs, such as, “nothing in this law shall be construed to abridge the right of any person to critique, cite, discuss, parody, or utilize a transcript’s content in any expressive matter.” This punches a bit of a hole in the law, but look at fair use in copyright law, and you’ll get what I’m trying to do. Also, “nothing in this law shall prohibit any person from preparing or having prepared by another their own transcript of the same proceeding or matter.”

There are some bigger issues we’d have to deal with. Would this law exclusively cover private transcribers / stenographers and not public employees? That’s a fantastic question. As a stenographer, I’m sure everyone knows where I stand, but as someone who reads a good amount of law, I understand that government work simply works out that way sometimes. I think if we’re serious about a New York City, New York State, or even someday federal law on this, it’s entirely doable. I think the important thing is prohibiting copying while allowing “fair use” type cases that don’t prohibit freedom of speech and expression. Notably, we could always go the way of this proposed Florida rule, which states plainly, “subdivision (g) requires a party to obtain a copy of the deposition from the court reporter unless the court orders otherwise…”

As always, discuss away or email me! It’s always fascinating to see what others have researched. Hopefully, if ever it becomes a serious discussion by our lawmakers, they’ll also get a chance to consult with authorities in our field like NYSCRA, NCRA, or even ASSCR.

Shortage Solutions 12: Stenography

If you haven’t had the time to use my site’s search box for all the shortage solutions available, I recommend giving it a try. Over the last year we’ve covered some phenomenal ideas. Many stenographers across social media have internalized these ideas, talked about them, made them better than I ever could’ve dreamed.

Well, this one’s for all the non-stenographers and a look into why our shortage mathematically requires us and not other methods of capturing the spoken word. May it help some of you educate non-reporters and maybe even reporting companies on who we are, what we really do, and why we are irreplaceable. Really quickly, machine shorthand reporting gets a bad RAP because it’s “old.” The stenotype style we use today originally was invented in 1906 by Ward Stone Ireland. With over a century of usage, it’s easy for other methods to say that the technology is outdated and point to something like digital recording, originally invented in 1970 by James Russell, as a newer, “better” technology.

Objectively, when you look at both methods, they have seen vast improvements. Back in “the day,” stenographers had to painstakingly transcribe paper tape notes or even dictate their notes back to a typist using Dictaphone-type technology, who would transcribe for them while they continued to take other proceedings stenographically. Modern stenography uses advanced word processing techniques to take the input from a stenographic writer and output text. The more skillful someone is at operating a stenography machine or stenotype, the cleaner the output text is. Some reporters, reaching a 99.9% untranslate or accuracy level, can practically hit print at the end of a job and have a ready transcript.

Even those of us without such a level of skill are more efficient than the record and transcribe methodology. The average person types about 50 words per minute (WPM). The average transcriber reaches about 80 WPM. The average stenographer? 225 WPM. So while it may seem paradoxical that this century-old technology is the fastest and most efficient method available to the consumer today, it’s true.

So when we talk about shortage, numbers, and the “impossible” gap stenographers must fill to meet rising demand and replace retiring reporters, let’s talk some real numbers. There are somewhere between 11,000 and 30,000 working reporters in this country depending on whose numbers you want to use. Let’s say a healthy 15,000. If we’re inputting words 2 to 4 times faster, on average, you need 2 to 4 people to replace every stenographer. If you need another person to operate the recording equipment, that means 5 people per stenographer today. It gets tougher. Hard-working transcribers have reported it takes up to six hours for them to transcribe a one-hour depo. I’m a pretty average stenographer. I know from timing my own work that a one-hour depo is about 40 pages, and I can transcribe 40 pages in 1 to 2 hours. On a great day where my input is good, I could even do it in 30 to 45 minutes dependent on page density and subject matter. But let’s stick to average, one hour transcription for one hour of testimony for one stenographer. Now compare that to the record and transcribe method, up to six hours for one hour of testimony. That could be six to seven people to do the work of one stenographer, or it could take six to seven times as long.

What do all these numbers mean? It means whoever’s numbers you want to use, if you want to say the gap is 10,000 people by 2030, or 1,000 people, or 5 people, it means you’re talking about filling a stenographic reporter gap. Companies who are pushing digital as a solution are saying there’s no way to get stenographers, but somehow they can find, organize, train, and utilize teams 4 to 6 times larger than their current stenographic reporting assets. We complain about the lack of stenography schools. How many digital reporting or transcribing schools exist? How long have those existed? AAERT lists four. NCRA lists almost four steno schools in New York alone. Tell us again how that is the future? Seems to me that if you’re scared about filling a gap of 1,000, a gap of 4,000 is pretty terrifying. If we’re talking replacement of 15,000 stenographers, we’re looking at 50,000 people plus the gap. Even with the abominable success rates of the past, pre A to Z, pre NCRA 2.0, 10 to 20 percent, it follows that if you’re introducing tens of thousands of hardworking people to the field of reporting, and you introduce them to stenography, you can overcome any shortage you would otherwise have. Smart transcribers and digital reporters have a head start on this. They’ve switched to steno because it’s better for them, their wallet, and the consumer.

Let’s just touch on AI as it relates to taking down the spoken word. Computer programming is not magic. Despite the claims of some that technology is advancing every day, an objective look at technology shows it hasn’t advanced much at all. How much better has your bank’s voice recognition gotten in the last ten years? It was hit or miss then, and it’s hit or miss now. Look at it in big picture terms instead of the daily claims of “tech news” sources. Improvements have been made, to be sure. Open source programming projects allow virtually anyone with a little time and technical knowhow to integrate voice recognition into their product or website. Promises of a $25 billion market draw new investors every day.

But the fact remains that a lot of the buzz surrounding automatic speech recognition is just that, buzz, smoke, promises of a better tomorrow that no one can guarantee. It’s a new spin on old news. To understand this, it is important to understand what computers really are. Computers are math-solving machines. Anything you can break down into numbers can be represented by a classical computer. Video games? Math. Word processing? Math. Internet search? Math. We are spoiled. We live in a world where you click buttons and have windows. Far gone are the days when programmers had to use punch cards to operate computers. But consider that everything your computer is doing is broken down into two signals, 1 and 0, on and off. How smart do you think someone has to be to figure out an equation to account for every accent, English dialect, or circumstance? Try differentiating four different speakers using math! I’ve said it before. There’s a very real possibility that it can be solved and that perfect voice recognition can be programmed. Could be tomorrow. Could be 100 years away. Might not even happen. We don’t know. But any claim that AI is the future must be met with serious and sustained skepticism, as AI-related companies can burn through half a billion dollars in a year and still have no major profitable product. There’s a reason the public trusts stenographers and not Siri, and that’s why smart investors stick with stenographer platforms.

Companies and organizations should really re-examine their own views on this. Stenography needs all hands on deck, and they’ll have a much easier time building on our education culture and matured technology than trying to switch over the industry to something untried, untested, and less consumer friendly than the personal and proper touch of a qualified stenographic reporter. The years of training and experience we have collectively, as well as the infrastructure of our large associations and institutions, are second to none. Ultimately, it will be up to the buyers in our market to examine that and decide: Do they want to ride the wave, improve the field as it stands today? Do they want to pay the great cost of reinventing the wheel in the hopes that things will someday be better? I suspect the smartest leaders have already crunched some of these numbers and weighed these factors. They know there’s a very real truth that replacing stenography is unlikely to work. It certainly doesn’t make sense mathematically, and that is why they hedge their investments and keep all avenues open.

Maybe this will serve as a wake-up call to companies on the fence. Do not go the way of US Legal, who apparently acquired Stenotrain just to scrub its Internet presence a couple of years later. These numbers are real. The challenges faced in finding coverage are real. These challenges are far from insurmountable. But it will be about four times harder to use non-stenographic transcribers than it would be to address the stenographer shortage. Follow the recent example of companies like Lexitas. Reach out to stenographers and ask them about schools that need your support to keep supplying you with quality reporters. Your investors will thank you. Your customers will have the best service for the lowest cost. You will not be subject to the inconsistency of professional flip-floppers. Your business won’t be broken by people who have no plan for when a transcript is needed for appellate review. Your companies will thrive. You will have a better outcome than you would losing money and clients up against a superior modality like stenography. Shortage solutions? Without a doubt, the resourceful entrepreneur picks steno.

Shortage Solutions 11: Logistics

One of the highlights of the January 2020 PYRP popup in Brooklyn was talking about the local shortage. One solution mentioned on the freelance side was how stenographers and stenographic reporters can advocate for attorneys to set depositions at different times. It was explained that it can be very difficult to accommodate every deposition at 10 a.m., and how a small change in attorneys’ ordering habits might make it simpler to cover work.

This is a small thing to talk about, but would be no small feat to accomplish. It would be a serious cooperative effort for the buyers and sellers of stenographic services to come together and do something to alleviate the coverage issues faced by all companies.

This also brings to light a truism we don’t talk about often. The winners of this market will be the logisticians. Companies and entrepreneurs that master matching reporters with work are necessary. If a reporter can only work in the afternoons, or close to home, or has some other need, an agency that can satisfy those needs is going to get coverage over an agency that just doesn’t care. This is a time for companies that truly support the stenographic reporter to really shine.

Reporters nationwide are advocating for stenography. I see no reason why scheduling habits can’t be a small part of our efforts at consumer education. If it’s the difference between covered and uncovered work, it’s worth mentioning, and it’s worth getting a stenographer into every proceeding possible. There is a digital reporting proponent named Steven Townsend. He has described an idea he calls the long tail, stating that digital recording can cover matters where transcript demand is not high. So when we talk about matters of coverage and jobs that are “not good enough” for a stenographer, remember that long tail. Remember that’s a core strategy of the companies gunning to replace you. Take enough of the “easy” work, become what lawyers regard as “the reporter” and then muscle in on the so-called valuable work under the idea that stenographers are obsolete. They even tell digital reporters we’re obsolete so that they don’t realize we’re a growing and vibrant career choice. There has already been talk in Veritext-owned companies in New York about digital reporters taking over EUOs, which are insurance jobs that many reporters are hesitant to take or refuse to take. Don’t let that happen. Those jobs fuel new stenographers and stenographers with a lower skill ceiling.

Nobody becomes a USPS or UPS-type master of logistics overnight. There is a lot that goes into getting a stenographer on every job. So let’s make it a part of the discussion and grow it together. Existing companies can adapt these ideas, or stenographers can form new companies that do it better. Either way, stenography and the consumer win.

A Night In Brooklyn, PYRP 78

This past weekend 78 pop-up events across the country launched for stenographers, almost all of which were at the same time on January 18, 2020. For Sabbath observers and those who couldn’t make the January 18 pop up, Devora Hackner organized and hosted one on the night of January 19 in Brooklyn. It was a fantastic night and a good indicator of what just a little solidarity can achieve. Protect Your Record Project, started in California by Kimberly D’Urso and Kelly Bryce Shainline, has swelled to a national movement where stenographers are saying loud and clear to the consumer that we are the fastest and most efficient method of capturing the spoken word.

The Brooklyn event was a real showing of stenographic society in NY. Every attendee’s presence was important and brought something special to the table. Nancy Silberger, immediate past president of NYSCRA and host of New York’s Saturday PYRP event was there. Howie Gresh and Reid Goldsmith, both longtime working reporters and educators were there. Ellen Sandles, a reporter who has done extensive research into the Federation of Shorthand Reporters was present. Representatives and owners of Little, Lex, and Diamond were also present. NYSCRA’s President, Joshua Edwards, also made an appearance some time after the event’s start. There were over thirty decades of collective reporting experience in the room and nearly two dozen attendees.

Everyone came together to talk about how to advocate for stenography. Ms. Silberger mentioned her ability to host some meetings. Ms. Sandles talked about having potential press contacts. Jane Sackheim of Diamond mentioned that space could be offered by Diamond to teach A to Z courses, something NCRA and Project Steno advocates should definitely ask about. Mr. Gresh reminded everyone about NYSCRA’s involvement in offering free test prep classes. Rivka Teich, a masterful reporter working at the Eastern District Brooklyn Courthouse talked about doing a career night and introducing more people to what we do and different jobs in the field. Mr. Edwards reminded everyone about NYSCRA’s mentoring program and urged people to sign up as mentors or to be mentored. He also brought up that attendees were still being accepted for the NYSCRA Court Reporting & Captioning Week Real-Time events.

Many, many ideas were covered. From high school outreach and following NYS legislation to PYRP’s available resources and files, all the way to potential legislative ideas, like copy protection for reporters’ work. The importance of starting discussions on stenography was noted. We talked about the potential of changing covers, parentheticals, and cert pages to say stenographer instead of court reporter. The importance of communicating with the videographer and injecting oneself into the record when necessary to make a better record was talked about.

There is one theme recurrent in all of this. The power of the individual is undeniable. That’s everyone who was present. That’s you. Reporters are getting together and great things are happening. Maybe there’s a skill you have, or some kind of connection you’ve made that can help educate a consumer or empower another reporter. You don’t have to wait for a giant winged creature to invite you, you just have to be brave enough to jump on the wagon.

January 2020, Just Apply!

Courtesy of the links I’ve got up at Get A Real Job, here’s what we’ve got posted around the Internet at the start of the new year. Freelancers can check the bottom for some ideas. Just before we roll into that, remember that NYSCRA has a free mentoring program, and people can use NCRA’s Sourcebook for unconventional moves like finding a mentor. If you’re a student or a new reporter feeling kind of lost, you don’t have to go it alone, reach out. Even people five years on the job have said “wow, sometimes I feel like I need a mentor!”

But you’re not here for that. You’re here for the jobs, dammit. Perhaps unsurprisingly, this month we have the Bronx grand jury job still posted. That’s a Reporter / Stenographer title as a City of New York employee. Side note, the Queens DA site is down so I have no idea if they’re hiring. I guess I’ll have to snail mail them. More side notes, the DCAS Reporter Stenographer application scheduled in November has been postponed, and there does not seem to be a date for it on this DCAS schedule, up to April 2020.

There’s no civil service exam out for NYSUCS Court Reporters because they just had the last test in Summer 2019. They generally hold the test every 1 to 4 years though, so keep an eye out. Even though the civil service exam is probably a little way off, Court Reporter provisional applications are being accepted continuously statewide according to the website.

In the least predictable move ever made, we move on to federal jobs. There are three Southern District postings in New York, including part time and full time work. Whether that means they need three people or one really good one, go for it! There are also a number of federal positions all around the country. Maryland, Oklahoma, Texas, West Virginia, Massachusetts, Arkansas, Utah, Tennessee, North Carolina, Washington, Washington, D.C., and Florida. Remember what happens when they can’t get good stenographers in those positions. They settle for less. Spread these jobs around, don’t be shy.

From the freelance angle it is troubling to me that for years I rarely saw agencies advertise looking for steno reporters and yet I see many postings continue to pop up for digital reporters now. It is not inappropriate for stenographers to take this for what it is, a sign that securing private clients may be a way forward to secure future work, especially if our trade and methodology is not going to be front and center of these old businesses. Take the leap, file with NYS, get yourself on the vendor list of NYC VENDEX or NYS procurement, get on the insurance companies’ procurement lists. Navigating the business world is not an easy thing, but it is entirely possible for anyone that sits down and starts familiarizing themselves with how people buy and sell services and where to find people that buy what we do. Pricing is another monster to tackle. Depending on the contract, people might bid super low original prices just to get copies locked in. Some contracts don’t really have many copies so a high original is necessary. There’s no manual I know of, it’s all straight experience and getting yourself situated as a player in this game, not a pawn.

Let’s win it together in 2020!

December Dirigibles 2019

First let me say, any student or reporter out there seeking a mentor, make sure you check out NYSCRA or any of the other associations offering mentoring. You owe it to yourself to find at least one person, but hopefully more than one, to show you the ropes and help you into and through your career.

With that out of the way, fly high in your career by checking out some of the jobs links below. Remember, you can get all of these links off of Get A Real Job.

Bronx Grand Jury Reporter/Stenographer has been up since 11/8. I hope everybody has applied, but if not, here’s your sign!

The Special Narcotics Prosecutor still has their posting for grand jury reporter up. I’d say that means it’s a great time to reapply or give them a call and make sure you know if and when they’re giving another test. Just note the DCAS test for Reporter/Stenographer is postponed.

Onondaga County Grand Jury is hiring. Thanks be to Adam Alweis for making sure every single one of us had a shot at this wonderful opportunity.

The court reporter provisional title is still up on the statewide NYSUCS postings. The list just came out last month, and if history is anything to go by the state is going to likely take people who passed the civil service test first. That said, it’s never a bad time to apply to be a court reporter today!

Southern District of New York, that’s federal court, is seeking a court reporter. If SDNY is too rich and famous for your tastes, there are over 10 postings for federal court reporters in Florida, Texas, Pennsylvania, Virginia, Alabama, Arkansas, West Virginia, Washington State, and Washington D.C. It may be a misnomer, but the D.C. posting says district courts and bankruptcy courts. Bankruptcy courts had previously went the way of the recording, so every time a steno covers one of those, you’re trailblazing.

As always, the court reporter job board and CSR Nation are filled with activity. If you’re in the freelance world and having trouble finding work, these are good starting grounds. Make some connections. I’m hearing a blend of things from reporters in the freelance community. Some are thriving. Some are struggling. Don’t be afraid to admit to yourself that you are struggling and make changes that make your life better. Whether it’s taking on more complex work or dropping an agency relationship that isn’t working for you, you can find a strategy that works for you.

Consider taking on some private clients. With some of the biggest names in the business claiming they can’t find reporters, you might very well find yourself in a position to do what they can’t do and meet the needs of the deposition market with stenographic reporters. Look at all the job postings this year that have come up and been filled. Look at supply and demand. As so many siphon off to court, freelancers are in a position to make more money and take on more business now than in the last ten years here in New York. But that’s only if they quit dancing and make money moves.

I’ll just take this time to encourage people to take up the cause. Post jobs in your state. Join groups where reporters are. Share information. Even if you’re good, you might come across a valuable lead just when someone in your life or professional network needs it most. Even if you don’t believe that a chain is only as strong as its weakest link, believe that we are stronger together. Know that every single one of you who have shared something about this field have made a difference.

October Occupations 2019

Before we get into this post I just want to say I updated the old Get A Job post to include the exams page of NYSUCS. I still say that every jobseeker in New York should be checking the pages linked there every 15 to 30 days to be safe. Share findings. Be committed to keeping everyone up to date. If everyone is talking about where the work is, nobody’s left in the dark.

Even though this page launches October 1, postings are only current as of September 30.

DANY is still hiring for their grand jury reporter position. It’s a great job. Definitely give it a shot.

Special Narcotics Prosecutor, as I recall, had a posting for one grand jury reporter. Now there’s a posting for two. I say that if you haven’t applied yet, it’s your lucky day, go for it.

The state court system is still accepting applications for the provisional court reporter job. If you didn’t take the test, it still might make sense to apply. If they didn’t get enough passes on the civil service exam, they’re going to need you.

Southern District, that’s federal court, is still looking for a reporter. Don’t let this great opportunity go to waste if you’ve got the certifications or skill necessary to work with SDNY.

There are over ten vacancies federally all around the country. If New York’s not where your heart is, no big deal, but you’re not allowed to leave (joke).

Plaza continues to keep a posting for court reporting and English instructors.

New Jersey has apparently started hiring for the first time in a long time. I had posted this on Facebook but not on Stenonymous. Hopefully the government has realized the inherent value of having someone personally responsible for making the record.

Freelancers, I know that there’s often not a lot of postings on here with regard to work for you. I will work on something that might help there. Until then, you’re free to check out my recent post on historic data and inflation, as it impacts every dollar we make every day we breathe. I have been getting emails from Magna claiming over $100 in bonus fees. Now that I think about it, this probably gives you a clue what’s actually being charged for appearance fees, and a peak into the law of supply and demand. You’re in demand. Your skills are in demand. Act accordingly, do great work, and make a great record.

Fun fact. In the editor this post has no bullet points. In the preview it does. Which version will everyone see? That is the question. If you’ve ever wondered why some posts seem to have bizarre formatting, I blame computers.