by Felicien | Jan 24, 2018 | Education
This is what people sometimes say when you start talking about machine language and artificial intelligence. Though it’s true that a computer can perform long, complex mathematical computations, it could never understand a small boy’s love for a cute puppy. All those emotions that humans have, all those irrational beliefs – it might be hard to find a robot who would get it.
As we’ve all seen in the movies, robots have no understanding of human emotions like love. There are many other esoteric concepts that humans display regularly. These feelings are much more a part of our existence than we think. We take them for granted. But would a machine understand why you’ve kept your mother’s old quilts for 40 years?
Perhaps someday our robots will be sophisticated enough to comprehend emotions like hate, love, revenge, forgiveness, and empathy. Today, however, we’re a long way from that happening. This knowledge hasn’t prevented technology experts from moving forward with innovative ideas. It looks like the future will be full of incredible things we can only imagine.
Artificial intelligence and the attorney
The legal field often deals with strong emotions like love, hate, and revenge. The motive for murder is frequently nothing more than simple jealousy. The motive for robbery or embezzlement is most commonly greed. Since the law so often deals with complex human emotions, will it be able to fully utilize machine learning and artificial intelligence?
Though it has represented a significant hurdle for our best and brightest experts, legal professionals are finding ways that it can be done. Almost any attorney would be interested in learning how a particular judge might rule in this case. Information like this is priceless. But so many lawyers today are unfamiliar with the technology and the terminology. For those who are intrigued by the possibilities available now in machine learning and artificial intelligence, it’s important to know the basic jargon.
The technology behind these applications can be overwhelming for anyone without a background in robotics. However, we can learn the basics about each type of technology and take advantage of the awesome opportunities just waiting for those who are willing to take a step into the future.
Artificial Intelligence (AI)
This is a broad term describing a wide range of technologies that can perform complex tasks that were once only performed by humans. This includes self-driving cars, speech recognition, robotics, algorithmic stock trading, medical imagery devices and a few others. The list grows almost daily.
Artificial intelligence is having a deep impact on the legal field, the business community, the medical field, and the financial industry. As new advancements are made, it will become almost essential to understanding AI well enough to know where you can best implement it in your law firm.
In the legal profession, artificial intelligence is already making many of those time-consuming, redundant jobs much easier. AI can be used to analyze legal contracts, review documents, and manage billing tasks. One of the more exciting applications is in the area of data mining. AI is now being used to sort through millions of litigation documents to find the strategic insights that can help you win your case.
Though machines may never be able to replace a well-trained litigator, they can quickly comb through a mountain of data and extract the exact information you will need to get the right verdict. AI applications offer a wide range of possibilities, and yet they can be targeted to accomplish very specific skills. The trick is in learning which tasks are best done by a human being, and which ones should be completed by artificial intelligence.
Many of today’s law firms are using AI-based legal tools for research. They’re also using them to identify drafting errors, predict outcomes, identify litigation trends and much more. As law firms begin to understand the potential behind machine learning, expect them to venture out more into this realm.
Cognitive Computing and Augmented Intelligence
Cognitive computing is often used interchangeably with AI. However, there is a subtle difference between the two. In the field of cognitive computing, developers strive to simulate the human thought process. This technology utilizes data mining, natural language processing, and pattern recognition technology. The goal is to solve problems without human intervention. Using machine learning algorithms, this technology is continuously acquiring new knowledge. The hope is that someday it will be able to anticipate problems before they happen and provide working solutions.
Augmented Intelligence uses numerous AI applications as well. These include natural language programming, robotics, neural networks and virtual reality. While AI is more about replacing thousands of human actions using a computer program, Augmented Intelligence is more about enhancing the human experience. Humans would use virtual reality and robots to help them with complex, large and small tasks.
In the world of artificial intelligence, you might hear terms like “robot lawyers.” In the world of augmented intelligence, advanced technology would enhance a human attorney’s skills. At the end of the day, both technologies are necessary because there will be times when a robot lawyer might actually be a better idea.
For instance, think about the enormous time spent by judges who are dealing with small crimes like petty theft, speeding tickets, drunk and disorderly conduct, etc. Most of these crimes don’t require a judge and jury. They could easily be decided by a computer algorithm that measures the facts of the case against the written law pertaining to the case. This type of robot lawyer could process cases with better accuracy than a human judge and at a much faster rate. This would equal substantial cost savings to the city and law enforcement.
Analytics
Most people understand the term “analytics” now due to widespread usage of analytics programs that tell you how your website is doing. Today’s advanced analytics programs do more than just analyzing data. Using sophisticated tools, they parse through massive amounts of data and eliminate anything considered irrelevant or redundant. Next, the data is structured so that it can be readily used. Analytics is a field that constantly changes because new data is being entered and sorted each day. This process is building a colossal database of all knowledge.
An analytics program can be configured to work in specific fields like the law, medicine, sales, stock trading or any number of areas. You might profit from knowing how well appliance sales do on certain days of the week. This same technology could also tell you how likely a criminal is to commit additional crimes.
What does the future hold?
As we move forward, it behooves us all to learn about machine learning, augmented intelligence, analytics, and cognitive computing. As with every new advancement in futuristic technology, the more we know, the more readily we’ll be able to adopt the technology and accept it into our lives. There are already much easier and cheaper ways to accomplish most of our everyday redundant tasks.
You can tell your Roomba to “Start Cleaning.” You can ask Alexa where a restaurant is located and how late they’re open. You can help your teenager with a complex math equation. But, you can’t tell Alexa to pick up the kids from school.
Our machines may someday perform all our normal household and many of our work-related tasks. At the moment though, there are certain things that only humans can do. However, humans augmented by artificial intelligence will be able to complete those tasks much faster and with better accuracy.
by Felicien | Jan 23, 2018 | Education
Washington State’s New Proposed Telecommuting Bill
If you ask anyone about their daily commute, you’re likely to hear tales about traffic woes, time complaints, and grudges against gas prices. By contrast, someone who works from home will boast of a “commute” from their bedroom to their home office (or the couch with their laptop). The genuine smile they wear reveals just how they feel about telecommuting. Telecommuters are happier, and not just due to the lack of traffic troubles!
The Basics of Business
Compared to 75 years ago, organizations have evolved in many ways. Office layouts have changed, and organizational charts have expanded with departments that didn’t exist just a decade ago. But the greatest difference is that a private office for most of the staff is a thing of the past.
Now we use cubicles that lack privacy, but offer flexibility in a modular design that can be changed as spatial needs demand. A quick look at a typical office space reveals the basics for most businesses:
A central multi-function printer/photocopier
A breakroom
A myriad of desks or cubicles with computer monitors
The idea of cubicles originated from the need for efficiency –a way to accommodate a growing staff without expanding the office space. Staff levels were increasing, but organizations weren’t prepared to invest the time and money into purchasing additional property—Economic growth simply outpaced spatial growth. Cubicles offered a cost-effective and immediate answer, with more privacy and the promise of noise reduction compared to an open environment.
The Evolution of the Workspace
Cubicle workspaces have evolved with the changing business climate. In recent years, cubicle design has shifted to lower walls with the idea that an open-style workspace promotes collaboration and communication. Gone is the notion that an employee requires silence for productivity.
Desks still have room for family photos, but when a workspace lacks walls, it also lacks the ability for a professional to maximize productivity according to their individual needs. If someone needs quiet to focus on a task, the white noise that fills a workspace won’t help. A telecommuter, on the other hand, can set up a workspace in their home to their exact liking. The better part of this is in the adaptability to their changing moods. Does listening to Chopin help you write stellar emails? Does listening opera help you draft a blueprint? Does punk rock help you paint? Whatever you need, you can adjust your surroundings to your whims.
Happier staff by default decrease turnover, which decreases potential downtime for an organization. Happier staff are healthier and less stressed. This is more cost-effective in the long run. Attendance isn’t an issue if the staff doesn’t need to worry about a critical presence within a geographical location at a given time.
Benefits for Businesses
Employing a remote staff is good for business. Employers can position telecommuting options as an employee benefit with a focus on work/life balance. Plus, you can employ individuals from different cities and countries. A global workforce gives you a global view, with virtually endless resources for any need that may arise. Built-in translators, cultural experts at the grassroots level, and a more cosmopolitan outlook are all benefits of a global remote workforce.
Why should a company pay for property to use roughly 8-10 hours daily and for only part of the week? Whether leasing space on the floor of a skyscraper or purchasing an entire building, there are still invisible overhead costs like utilities and insurance to consider, and all this for consumption only half the time in a given day. With only so much real property either currently in existence or land to build on, these costs will only increase over time – as will the cost of construction and infrastructure. Decreasing, or eliminating real estate costs is a tantalizing option for any business.
Communication Considerations
Is the world of telecommuting perfect? Unfortunately, no – there are downsides to employing a remote staff. Less comradery and personal interactions exist, even without the added consideration of time differences. Teams must work that much harder to maintain a joint effort to complete projects and tasks. A unified vision is necessary to achieve goals or chaos will ensue. However, from a management standpoint, you can offset most of these concerns with a focus on communication.
Speaking of communication, a uniform platform is a must. Solutions like Basecamp and Trello for team project collaboration are quite popular today, and with good reason; these allow for timely updates and customized notification settings for each team member. While email is acceptable for communication, it’s nearly obsolete today purely because of its simplicity.
Remote teams still need to talk to each other, and not just over the phone. Even yesterday’s go-to programs like WebEx and GoToMeeting are used less often, replaced with the likes of Skype and Google Hangouts for online conferencing because of their adaptability. Need to attend a department meeting in your pajamas? Disable video. Need to drop off the kids at soccer practice? Install these apps on your mobile device and take your work with you.
The success of a telecommuting workforce also depends on a reliable Internet connection, a sufficient workspace, power, and technical capabilities. The burden of proof is on the telecommuter in this instance, rather than the organization – which is a bonus. This burden is offset by the telecommuter’s ability to claim a portion of these expenses on their annual tax return as home office deductions.
Money Talks
In truth, a company’s primary goal is to produce revenue. You’ve undoubtedly heard of “the bottom line,” an idiom born from profit and loss financial statements. The goal of the bottom line is to be “in the black” – representing a net profit, instead of “in the red” which represents a net financial loss. Staff salaries and property costs have a significant financial impact on an organization’s bottom line.
Considering the cost-benefit of telecommuting, one can’t ignore the tax benefits for both sides. For example, a U.S. senator from Washington state has proposed a bill that will incentivize organizations to allow for telecommuting. Under the bill, companies would be offered a $500-per-employee tax credit for each staffer that works remotely a minimum of 12 days per month. With the average number of weekdays in a month at 22, this encourages businesses to push for staff to telecommute 50% of the month or more. The bill caps incentives at $20,000 per year, but that’s quite a financial incentive!
The plan is that this bill will lessen the impact of traffic by minimizing:
Gridlock
Gas consumption
Greenhouse gas emissions
Vehicular accidents
Long-term impact on road conditions
The overall impact is immeasurable, but minimizing these issues is seen as a positive, incentivizing the first step. For Seattle alone, the average daily commute is 90 minutes due to a cheaper cost of living farther from the downtown area. Avoiding that commute twice each day provides the telecommuter 3 hours that they would have otherwise spent in traffic, resulting in an “extra” 15 hours every week.
Other states with traffic woes have passed similar legislation. Virginia implemented the Virginia Telework Expenses Tax Credit in 2013, and Georgia began testing tax incentives in 2007. Considering the gridlock in Northern Virginia, organizations with locations in the suburbs of Washington, D.C., quickly recognized the many advantages to incentivizing telework and took advantage of the financial benefits.
The Bottom Line
Switching to a telecommuting model can be a challenge. Whether staff works remotely only one day per week, or 100% of the time, letting employees work from home may not be the solution for some businesses. Every organization will undoubtedly weigh the benefits with the risks and make the decision that’s best for them.
by Felicien | Jan 23, 2018 | Education
When Facebook first launched back in 2006, the world was introduced to a brand-new way of communicating. Friends and family that lived hundreds and thousands of miles away from one another now could bridge the distance.
If you have been living under a rock for the last 12 years, Facebook is a social media company that allows family and friends to share pictures, life updates, and any random thought. It also makes you the star of your show, as it gives people a platform to let their voice be heard.
Fast forward to 2018, a little over ten years since the launch, and Facebook has become a household name with over 1.37 billion people logging onto the social media giant daily. However, it is also a place where third-party businesses, sites that post funny pictures and memes, sell their products or distribute news articles, and advertise to Facebook’s billions of subscribers–but not for long.
Here are a few facts that advertisers should be afraid of 42% of them report that Facebook is critical to the success of their business. Their target audience, people, ages 25-34, are the same people that make up the majority of Facebook users. This is the prime target demographic for many businesses’ marketing efforts, and they rely on Facebook to engage these critical consumers.
The California-based company has kept revenue growth throughout the years by selling more and more advertising in its news feed. However, new changes will scale back advertising and bring lesser visibility to their posts. What you will see is more posts from friends and family, especially those that have incited debates in the comments. Prioritizing what friends and family share are Facebook’s way to help people spend time on the site in a more meaningful way. In fact, last week, Mark Zuckerberg, co-founder of Facebook, said his resolution for 2018 was to “fix” the social network.
Besides the influx of advertisers popping up on Facebook, social media has come under fire in recent years for the impact it has on people’s mental health. Several studies were conducted about the effects on people who use sites such as Facebook. The Journal of Experimental Psychology revealed that using the website, even for just 10 minutes a day, had a harmful effect on our well-being.
People have become addicted to smartphones and often use them to keep up with social media. They put these sites at our fingertips 24 hours a day, no matter where we are or what we are doing. Research goes on to suggest that Facebook can make people feel isolated and sad. Even when looking at feeds from family and friends, people are comparing lives, which can lead to depression and a sense that they are not living up to what others are doing. Teenagers are particularly prone to “Facebook depression” as they try to fit in with their peers, according to the American Academy of Pediatrics.
However, other researchers believe the way people react to Facebook depends on their personality. If you are already plagued by anxiety or are unhappy with your life, then seeing other people having fun would more than likely deepen your feelings of inadequacy. If you are self-assured and happy with your life, then seeing the good things in a friend or family members life would make you happy, too.
While speaking with the New York Times, Zuckerberg noted if people begin to feel better while on the site, that Facebook’s business, and its users, will benefit: “I expect the time people spend on Facebook and some measures of engagement will go down…However, I also expect the time you do spend on Facebook will be more valuable…The world feels anxious and divided, and Facebook has much work to do – whether it is protecting our community from abuse and hate, defending against interference by nation states, or making sure that time spent on Facebook is time well spent.”
Facebook may care about their users’ wellbeing, but another reason for the changes stems from a growing backlash from academics and lawmakers, and pressure from regulators in the U.S. and overseas about how social media may be leaving us depressed and isolated. Facebook would certainly rather make changes under their control than be forced to make changes according to regulators. Nor do they want disappointed users to leave for different platforms.
So, just how does Facebook plan to make these changes? They will reconfigure algorithms that guess what you may be most interested in. In the early years, Facebook’s news-feed ranking system was based on three things- Affinity, Weight and Time Decay. According to Marketing Land, affinity is how close the relationship is between the user and the content or its source. Weight is what type of action was taken on the content. Time Decay is how current the content is or how recently it was posted. While those three items are still included, Facebook’s current news feed algorithm considers over 100,000 other factors as well.
While he recognizes that Facebook may never be entirely free of harmful influences, Zuckerberg says that the company currently makes “too many errors enforcing our policies and preventing the misuse of our tools.”
What else does the future hold for Facebook? With Zuckerberg at the helm, it is sure to be bright. When people close to him speak of his skills, it is always impressive. One of his key attributes is to keep moving forward and getting better. One PR rep for Facebook revealed that “He notices things that are broken before anybody. To say he is actively involved is an understatement.” His peers note his persistence and devotion to improving Facebook and himself. Zuckerberg “is a total inspiration in how much he cares about his work and in how hard he works,” says Chris Cox, who joined the company as a software engineer and is now chief product officer. “For all of us who work with him, it is like, Man, he is so good at improving.”
by Felicien | Jan 22, 2018 | Education
Cybersecurity is a big, scary word with big, scary implications. The word conjures mental images of a dark room and someone in front a dimly lit computer. The black screen flashes green and is dotted with lines of code entered by a nameless, faceless “cyberterrorist” – a hacker – with a smirk and an evil laugh. Are hackers merely the digital age’s version of a pirate ship on the high seas, with the sought-after treasure in the updated form of digital profit?
The reality, though, is far scarier: data security is big business, and with every business venture comes big risk. You’ve worked hard to get where you are. Your business is growing, and the truth is this makes you a target. Any vulnerability is an unfortunate side effect of success, and with this comes fear – fear of losing everything you’ve built. Hackers spend hours trying to uncover these vulnerabilities and exploit them, sometimes for profit or ransom or just to cause damage.
How do these hackers do this? Hackers obtain access to a computer and plant “malware,” malicious software, like a virus or another executable program. The purpose of these programs varies, but the shared nature is they’re not meant to help anyone but the hacker. In some cases, the idea is to have this malware operate undetected – but not always.
One of the most famous hackers today is “Anonymous,” an international group that has become well-known for DDOS (distributed denial-of-service) attacks on government, religious, and corporate websites.
Every day, hackers are finding new ways to attack, and are sometimes successful simply because those they attack just haven’t yet applied available security updates, called patches. A patch is a corrective action to address a specific vulnerability.
A critical patch update – a CPU – is a series of patches released at the same time that resolve security vulnerabilities. Often when a CPU is released, it’s in response to a discovered vulnerability, sometimes hackers already exploiting the weakness. Organizations will accompany a CPU with a statement of disclosure of these vulnerabilities and the solution within the CPU. No matter the reason, a CPU shouldn’t be delayed.
Oracle
For example, Oracle recently released a patch for select products, including its WebLogic Server. Oracle discovered a vulnerability affecting WLS Security, allowing attackers to exploit access resulting in a successful takeover of the server.
For what is considered to be the industry’s best application server with features for lowering operational costs while improving performance, this vulnerability reflects an urgent need for users to update. In Q4 2017, Oracle released a security alert notifying customers of affected Oracle products and strongly advised that the CPU released in October be applied immediately.
Oracle patch CVE-2017-3506 addressed WebLogic’s “Web Services” subcomponent
Oracle patch CVE-2017-10271 addressed WebLogic’s “WLS Security” subcomponent – a critical Java deserialization vulnerability
Impacted WebLogic versions: 10.3.6.0.0, 12.1.3.0.0, 12.2.1.1.0, or 12.2.1.2.0
More details on this were not publicly available until December when Oracle announced that the vulnerability would have allowed unauthorized users to gain remote access and takeover.
How was this discovered?
Logically, hackers placed a script on affected servers that unintentionally “killed,” or prevented the servers from functioning – possibly even alerting some of the intended targets of the attack before the attack had the chance to deploy fully.
In this specific case, one widely-shared thought is that hackers were exploiting this weakness to install software that mines bitcoins on the affected servers. One element that makes this situation unique is that only limited coding knowledge was needed to make this hacking effort a success if fully and properly deployed.
What is bitcoin mining? Specialized software is used to solve complex math problems in exchange for an amount of bitcoin currency. Why does this matter? If this activity is taking place as a result of a hacker accessing your server, and this hacker now has control of your data, everything is at risk. In most cases, bitcoin mining on a regular computer didn’t allow the generation of enough of the currency to offset the power consumption cost, making this an unappealing option for bitcoin miners. If you read between these lines, hacking someone else’s machine is a better target since the hacker isn’t paying the power bill!
Imagine if, instead of just one computer for a single user, you utilize a cloud-based solution for your entire business, and a hacker was able to access your incredibly powerful resource for their benefit – compromising your data. What would be the impact on your business if this data library became lost?
What does all of this mean?
First, it means we strongly recommend a thorough security review to protect yourself, your business, and your data.
Next, it’s vital to remain vigilant after a patch is installed, and investigate further. If one hack attempt is successful, more importantly by a less-sophisticated hacker, then a more skilled “cyberterrorist” is likely in a better position to gain even stronger control over your system.
Is there an upside?
The good news is that cybersecurity is an increasingly critical component of today’s business model, and the industry is growing – as is the pool of candidates and the knowledge base within. The evolution of cybersecurity is a byproduct of the ever-evolving world of technology, and those organizations that focus on the latest trends and the newest solutions are supporting the strength of the field.
Standards are being established across the technology industry, laws are being written to protect digital and intellectual property, and crimes are being prosecuted.
Precedents are being established with which to fight cyberterrorism and hackers, in numbers great or small.
What can you do?
The best thing you can do for your business – and thus, yourself – is to employ a top arsenal of experts that can aid you in protection against cyber attacks. Remember that even the best efforts need ongoing support.
The key to long-term success is to work with experts that understand your needs and the nature of your business in such a way that there is a seamless relationship: Where you end, your “cybersecurity expert” begins, and eliminates any vulnerabilities. When customers ask you what the secret of your success is, you can honestly answer that you only work with the best – and that’s the best position to be in for the future.
by Felicien | Jan 22, 2018 | Education
There’s no doubt that Big Data, Data Mining, and Machine Learning have changed every industry on the planet. Recent political campaigns were won by experts who knew how to use all data available regarding key factors. Many were surprised to learn how certain types of information could guide a political campaign down the pathway to a big win.
Data analytics now used in many industries
Data analytics has been used in the field of sports for many years. This is perhaps one of the first industries to fully embrace this concept. All professional sports organizations use volumes of data to understand past performances of rival teams. They analyze every bit of the information available to discover a competing team’s weaknesses. Then they use that information to build an arsenal of both offensive and defensive strategies.
It’s natural that the legal profession would want to gain the upper hand in this same manner. And, that is exactly what’s taken place in the last few years. Now we have teams who are experts in both technology and the law. Using the most sophisticated tools available, they decipher every morsel of legal information, including trial outcomes, court decisions, witness testimony, precedents and much more. This gives their side the competitive advantage.
However, the issues that the legal system faces differ a great deal from those of other industries. A sports team analyzes things like various plays and the results of those actions. In the legal field, every trial generates huge amounts of data. From the trial transcripts to the expert witnesses, the sheer volume of data sets the legal field apart from most other industries.
How legal data differs
Last year, in the US alone, there were over 350,000 cases brought to court. And legal data is highly complex. It contains legal nuances that are hard to explain to most people, much less a computer program. Trial outcomes typically occur as a result of hard evidence, but sometimes they are a result of emotional juries. Since juries are made up of human beings, it’s very hard to predict with accuracy what they will do in any given situation. That’s the goal of trial science.
In the past, America has held very public trials for popular athletes accused of crimes like assault or even murder. All the evidence might point to the suspect being guilty. And yet, the jury had a previous emotional connection with the athlete because they enjoyed watching him play sports. Even with overwhelming evidence of guilt, the jury ruled that he was innocent.
How do you explain that type of irrational thinking to a computer? How will artificial intelligence deal with anomalies like this? These are just a few of the questions facing today’s data-driven attorneys. Though big data offers a world of opportunities, it also represents a substantial challenge even to the best legal researchers.
How to produce the richest data
Today’s legal technology experts are continuously adding new information to their databases. Every trial and verdict is a new piece of information that the AI will use to build its intelligence platform. In fact, millions of pieces of data are added daily to the repository. These massive blocks of data require high-speed processors. Much of this is accomplished using data-parsing technology.
This process cleans raw data, refines and enhances it, and structures the data so it offers maximum insight to users. For instance, one program allows searchers to look at the decisions specific judges made in the past. This helps them build a profile of that judge’s legal philosophies. With great accuracy, these programs can predict how a judge will rule in a certain type of court case. Imagine being able to know with some degree of certainty, how a judge might rule on a specific case before the trial even begins.
Endless possibilities
The possibilities this technology provides are endless and offer a wealth of valuable information to attorneys. As the future unfolds for the legal field, experts believe that advanced technology will be used in every part of the law.
Of course, today it’s being used primarily by legal teams that want to win cases. There are often substantial financial reasons for wanting to win a big case. Today’s attorneys understand that clients are looking for the best team of lawyers. They want to work with the brightest people–winners. But, there’s more than just money on the line; a law firm is building its reputation as well. They want to build their brand to the place where their name is a byword in the legal world.
Refining the legal world
These are natural reasons for wanting to win at anything. However, many experts believe the future of legal technology holds much more than this. They believe the legal field can evolve into a much more fair, accurate and profitable industry. As a society, we can begin to get things right when it comes to verdicts in big cases. We can move past the place where known murderers are freed over a technicality. This is not a pipe dream for many in the legal field, it’s a destiny that must be achieved for our legal system to continue moving forward.
Perfecting a complex legal system
From making new laws to enforcing old ones, data mining and machine learning have the potential to show us where our society’s legal system has failed in the past. We can clearly see what has worked and what hasn’t. We can use this knowledge to move forward in a better direction. Unfair laws could be changed, and unfair verdicts could be a thing of the past.
That’s the hope of every reputable attorney. Today, we may use data mining and AI to gain a better advantage in a trial. Tomorrow, we may use them to mold our legal system into a fine-tuned instrument that delivers correct verdicts every time, and at a third of the cost.
