Hear from Our Customers and Supporters
Hear directly from customers, supporters, and legal leaders about AI adoption, the changing business of law, and how FasterOutcomes works in practice.
Expert witness case study
Increasing capacity and confidence in high-intensity work.
A complex child-custody evaluation can require 50 to 100 or more hours of document review, drafting, self-auditing, and testimony preparation across three to six months. FasterOutcomes helps Dr. Sandra Roland inventory records, map evidence, identify gaps, and audit conclusions while she retains every professional judgment.
“It’s not replacing your judgment. It’s handling the part of the work that exhausts you before you even get to the part that requires your expertise.”
Dr. Sandra Roland, Ph.D., ABPP
Read Dr. Roland’s full case study
Elective medicine case study
More value from the patients already in the practice.
Most weight loss clinics focus on acquiring new patients. This clinic unlocked more value from the patients they already had.
Colette connects each patient’s goals, history, and the clinic’s own protocols into a review-ready clinical picture, helping qualified clinicians see the fuller care opportunity before the visit.
Personal injury customer story
50% more settlement value on the cases that can be improved.
Rob’s team uses FasterOutcomes to apply its pre-litigation checks across the file, surface missed medical details, and prepare attorney-reviewed demands. Read the adoption story and the scope behind Rob’s reported 50% uplift.
“Rob Levine makes the same cases worth more.”
Rob Levine · Founder, Rob Levine Law
Read Rob’s customer story →
Workers’ compensation customer story
70% time saved on document review and analysis.
We Care Legal reports more time for client advocacy after reducing manual document review. Haley Hammond explains what changed in record preparation and what still depends on an experienced paralegal’s judgment.
“FasterOutcomes frees me up. I’m not landlocked anymore. I get to go fly around and talk to my people.”
Haley Hammond · Lead paralegal, We Care Legal
Read We Care Legal’s customer story →
Knowledge management case study
One million documents, one firm-wide knowledge environment.
ByrdAdatto turned more than one million documents into a secure, OCR-enabled knowledge environment. Today 20+ lawyers use KNOWledge firm-wide to find previous matters, research issues, and build on the firm’s own precedent.
“After extensive research and vendor meetings, we found that FasterOutcomes offered the most comprehensive platform to meet our complex needs.”
Brad Adatto · Founding Attorney, ByrdAdatto
Read ByrdAdatto’s case study →Featured voices from practice
The people doing the work explain what is changing.
Six perspectives on AI, firm economics, professional growth, and FasterOutcomes in practice.
Is the AI Advantage in Personal Injury Coming, or Already Here?
Rob Levine explains why his firm treats better technology as a present-day operating advantage—not a future experiment.
Rob Levine · Rob Levine Law
How Big Will the AI Shift Be for Professional Services?
Philip Hearn offers a provocative view of the scale of the coming AI transition.
Philip Hearn
How Are Family Law Firms Using AI to Gain a Competitive Advantage?
Aidan Welsh describes why better intelligence is becoming essential to competitive family-law practice.
Aidan Welsh · SGB Family Law
What Are the Only Three Ways a PI Firm Can Make More Money?
Rob Levine breaks personal-injury growth down into three operating levers.
Rob Levine · Rob Levine Law
How Does Technology Help a Lawyer Do Better Legal Work?
Aidan Welsh explains how technology can spark curiosity, creativity, and better legal work.
Aidan Welsh · SGB Family Law
How Can Law Firms Use AI Without Replacing Lawyers?
Michael Byrd and Brad Adatto explain how better tools create more room for judgment, relationships, and human work.
Byrd Adatto · ByrdAdatto
Answers, not just testimonials
Sixteen questions firms ask before they adopt AI, each answered in writing and on camera by the lawyer who lived it. Read the answer, watch the person who gave it, then see the same work run on your own file.
AI + Personal Injury
How personal injury firms use AI across intake, medical records, chronologies, and demands.
How can AI increase the value of a personal injury case?
AI can help a personal injury team find facts that change how a case is developed, including facts that weaken an argument. In the Rob Levine Law customer story, FasterOutcomes surfaced a pre-existing condition, conflicting accounts of loss of consciousness, a treatment date with no corresponding bill, and inconsistent injury dates. The team uses timelines, case facts, and argument points as material for attorney review; the demand remains the firm’s own work product. Rob estimates that about 20% of his cases have scope for greater recovery and reports a 50% uplift on improvable cases. Those are customer-reported figures, not a prediction for another firm. The practical question is what your team can find and verify in its own files, with attorneys retaining every judgment.
Rob Levine · Rob Levine Law
Watch the 54-second answer See FasterOutcomes analyze one of your own PI files
How can AI analyze medical records for a personal injury case?
Medical records arrive as thousands of pages from different providers, in different formats, with the decisive details buried. Saxon reads all of them and builds the medical record as a single, source-linked picture: providers, visits, diagnoses, treatment, gaps, and the injury nobody screened for. Every fact stays connected to the exact page it came from, so nothing in the record is a guess dressed up as an answer. That record does not stop at a summary either. It carries into liability, damages, the demand, and settlement strategy, so the team is not rebuilding the medical picture at every stage of the case. Rob Levine walks through that whole path in this conversation. Your attorneys review and approve everything that leaves the firm; Saxon does the reading.
Rob Levine · Rob Levine Law
Watch the 2.5-minute answer See FasterOutcomes analyze one of your own PI files
How can PI law firms use AI for medical chronologies and demand letters?
A demand is only as strong as the record behind it, and building that record is where most of the hours go. FasterOutcomes builds the chronology from the underlying documents, with every entry tied to its source page, then carries the same record into the demand so the numbers and the narrative both match the file. Tripp Segars describes what that changes at Diaz Law Firm: faster work on the parts that are mechanical, and stronger cases because the team spends its judgment on strategy rather than assembly. Drafts remain drafts. Your lawyers approve everything before it goes out. The practical result is that demands go out on a complete record instead of the version of the record somebody had time to build that week.
Tripp Segars · Diaz Law Firm
Watch the 30-second answer See FasterOutcomes analyze one of your own PI files
How can AI improve personal injury intake?
Intake is where cases are won or lost before anyone opens a file. A signal missed on the first call — a second defendant, an untreated injury, an early deadline — quietly costs a firm a case it should have signed, and nobody ever logs the case they never took. Saxon organizes the intake file around viability, missing evidence, and early issues, so the team can make a better-informed case decision sooner and see exactly what still needs to be developed. Rob Levine explains how much of that cost stays invisible until a firm looks for it. The point is not to automate the decision to take a case. It is to make sure the person making that decision has the whole intake file in front of them.
Rob Levine · Rob Levine Law
Watch the 48-second answer See FasterOutcomes analyze one of your own PI files
AI + Family Law
How family law teams use AI across discovery, financial records, capacity, and strategy.
How are family law firms using AI to gain a competitive advantage?
Family law runs on a record that arrives late, in pieces, and rarely in order. Saxon reads the full discovery file — financial statements, communications, custody evaluations, guardian ad litem reports, filings, school records — and turns it into one searchable, source-linked record instead of separate stacks of documents. That means the hidden asset, the spending pattern, or the contradiction between two accounts surfaces while there is still time to use it. Aidan Welsh describes why better intelligence is moving from a nice-to-have to an expectation in competitive family-law practice: the firm that has actually read the whole file arrives at mediation with more to work with. Every material fact stays tied to the page it came from, and the lawyers make every judgment.
Aidan Welsh · SGB Family Law
Watch the 66-second answer See how AI works on a real family-law matter
Can AI increase a firm’s capacity without reducing revenue?
The common fear is that efficiency and revenue move in opposite directions: if the work takes fewer hours, the firm bills less. Aidan Welsh’s answer is that capacity and opportunity move together instead. Reading the disclosures once, the moment they arrive, means the next matter does not wait on the last one, and the firm can take on files it would previously have declined or carried at risk. What the client is paying for is the judgment, the strategy, and the outcome, not the hours spent assembling the record. In practice, firms spend recovered capacity in one of three ways: more matters, more thorough preparation on the matters they already have, or the evening before a deadline given back to the people doing the work.
Aidan Welsh · SGB Family Law
Watch the 63-second answer See how AI works on a real family-law matter
What can legal AI do beyond summarizing documents?
Summarization is the least interesting thing legal AI does. The useful work starts after the reading: building chronologies, comparing what two accounts say about the same event, flagging inconsistencies, tracing spending patterns, identifying what is missing from the record, and surfacing the next question the team needs to ask. Aidan Welsh explains how that moves AI from document review into strategy and action — the difference between a shorter version of the file and a better understanding of it. FasterOutcomes carries early findings forward so nothing gets rebuilt at the next stage, and every conclusion stays linked to its source. Attorneys still decide. What changes is that the decision gets made against the whole record rather than the readable part of it.
Aidan Welsh · SGB Family Law
Watch the 62-second answer See how AI works on a real family-law matter
How does technology help a lawyer do better legal work?
Aidan Welsh’s argument is not about time saved. It is that having the whole record available changes what a lawyer can be curious about. When the mechanical part of the work — reading, organizing, cross-referencing, checking — is handled reliably, the intellectually interesting part of the case gets the attention it deserves: the theory, the strategy, the argument nobody else spotted. That is a different case for adoption than efficiency, and in practice it is the one that gets lawyers to actually use the tool rather than tolerate it. FasterOutcomes is built for that division of labor. Saxon reads everything and builds the record; every professional judgment stays with the attorney who signs the work.
Aidan Welsh · SGB Family Law
Watch the 41-second answer See how Saxon keeps attorney judgment in control
AI + Law Firm Management
How firm leaders approach adoption, training, billing models, and scale.
How do you get lawyers in a firm to actually adopt AI?
Firm-wide adoption is rarely a tooling problem. ByrdAdatto describes the path from curiosity — a few people investigating what AI could do — to the whole firm using it as the way work gets done. What made it stick was that the tool ran on the firm’s own material rather than on a generic model of legal work: more than a million of the firm’s own documents indexed for source-linked search, more than twenty lawyers using it in daily practice, in production as the firm’s knowledge environment for close to a year. When the answer a lawyer gets back cites the firm’s own precedent, adoption stops being a mandate and becomes the shortest path to the work. Firms that struggle usually deployed a tool; firms that succeed changed where the work starts.
Byrd Adatto · ByrdAdatto
Watch the 42-second answer See what your firm’s institutional knowledge could become
Why do law firm AI implementations fail without training?
Software gets bought, licensed, and then quietly unused. Tripp Segars’ point is that technology creates value only when the people using it know what to ask it for, and that is a training investment rather than a procurement one. A firm that hands out logins and hopes ends up with a handful of enthusiasts and a long tail of people who tried it once. A firm that teaches its team what good input looks like, where the tool belongs in the process they already have, and what to do with what comes back gets a change in how the work runs. FasterOutcomes deployments are built around that: playbooks encode the firm’s own best practice, so the same disciplined review runs on the first matter of the year and the four hundredth.
Tripp Segars
Watch the 63-second answer Build your firm’s AI adoption plan
Will AI kill the billable hour?
The billable hour ties revenue to time spent, so anything that reduces time looks like a threat. The lawyers in these conversations mostly reject that framing. Aidan Welsh explains why greater capacity does not have to mean less revenue: the work that compresses is assembly, and the work clients actually value — judgment, strategy, the outcome — is not the part that got faster. RJon Robins and Deb Foster come at the same question from the business side, examining what the billable hour costs the people inside the firm and how value is shifting from time spent toward judgment delivered. None of this requires a firm to change its billing model tomorrow. It does mean the firms that get ahead are the ones deciding deliberately rather than defending the model by default.
Aidan Welsh · SGB Family Law
Watch the 63-second answer Build your firm’s AI adoption plan
How can a law firm scale without relying on hustle?
Adam Rossen’s answer is that effort does not scale — systems do. A firm that grows on individual heroics hits a ceiling defined by how many hours its best people can personally work, and everything above that ceiling gets worse rather than bigger. Durable scale comes from repeatable process: the same intake discipline, the same review, the same standard of file preparation on every matter regardless of who is handling it. That is the same idea behind playbooks in FasterOutcomes, where the habits of experienced litigators are encoded so they become the firm’s default instead of one partner’s personal method. The firms that scale well are usually the ones that made the work boring on purpose.
Adam Rossen · Rossen Law Firm
Watch the 54-second answer Build your firm’s AI adoption plan
AI + Human Judgment
What stays human when the routine work is handled, and what that means for a firm.
Can law firms use AI without replacing lawyers?
Michael Byrd and Brad Adatto make the human-centered argument better than a vendor can: better tools create more room for the work only a lawyer can do. The reading, the cross-referencing, the assembly of a record — that is the part that exhausts a professional before they reach the part that requires their expertise. Removing it does not shrink the lawyer’s role; it returns time to judgment, to client relationships, and to the parts of practice people trained for. FasterOutcomes is deliberately built this way. Saxon drafts and builds the record, he decides nothing on his own, and every output ties back to a specific page so an attorney can check it. Nothing leaves the firm without a lawyer approving it.
Byrd Adatto · ByrdAdatto
Watch the 50-second answer See how Saxon keeps attorney judgment in control
What becomes more valuable when AI handles the routine work?
Deb Foster’s answer is that value moves away from time spent and toward judgment delivered. When any firm can produce a competent summary, the summary stops being the differentiator. What stays scarce is knowing which facts matter, what the other side will do with them, when to push and when to settle, and how to explain a hard answer to a client. The practical implication is where a firm puts its people: on the decisions, not on the assembly. It also raises the floor. A well-built, source-linked record means the associate and the senior partner are working from the same complete picture, so the difference between them is judgment rather than who had time to read the file.
Deb Foster · Affinity Consulting Group
Watch the 43-second answer See how Saxon keeps attorney judgment in control
What separates great lawyers in an AI-enabled firm?
Neil Dubo connects professional excellence to sustained curiosity: the lawyers who keep learning are the ones who stay good, and that has not changed because the tools did. What has changed is how quickly the baseline moves. When the mechanical work is handled, the visible difference between two lawyers is what they notice and what they ask next, and that is a learned skill rather than a capacity one. Firms that treat AI as a reason to stop developing people get faster mediocrity. Firms that spend recovered capacity on supervision, review, and the harder matters get better lawyers. The tool is only the floor; the practice is still a profession.
Neil Dubo · Dubo Law
Watch the 51-second answer See how Saxon keeps attorney judgment in control
Is AI in law a genuinely new shift, or just the next reference tool?
Neil Dubo compares it to the moment the profession stopped reaching for the encyclopedia. Once a better way to get to an answer exists, going back is not really an option, and the argument about whether it should have happened becomes academic. The comparison is useful because it sets expectations correctly: this is an infrastructure change in how professionals reach knowledge, not a product feature. Firms that treated earlier shifts as optional did not avoid them, they adopted late and with less control over how it happened. The version of the question worth asking now is not whether to use AI, but what it should be reading — a generic model of the law, or decades of your own firm’s contracts, matters, research, and precedent.
Neil Dubo · Dubo Law
Watch the 58-second answer See what your firm’s institutional knowledge could become
Browse every conversation
Professional insight, organized around the decisions teams face.
Filter the complete library by business model, operations, the AI shift, professional growth, adoption, FasterOutcomes in practice, or elective medicine.
What Does the Billable Hour Really Cost a Law Firm Owner?
RJon Robins examines the personal and economic tradeoffs built into the traditional billable-hour model.
RJon Robins · How To Manage a Small Law Firm
Will AI Reduce Law Firm Revenue by Killing Billable Hours?
Aidan Welsh explains why greater capacity does not have to mean less revenue.
Aidan Welsh · SGB Family Law
What Makes a Lawyer Valuable When AI Handles the Routine Work?
Deb Foster considers how AI shifts legal value away from time spent and toward judgment delivered.
Deb Foster · Affinity Consulting Group
Why Is a “Boring” Business Model a Winning Law Firm Strategy?
Adam Rossen makes the case for disciplined, repeatable operations over constant novelty.
Adam Rossen · Rossen Law Firm
How Do Law Firms Scale Without Relying on Hustle?
Adam Rossen explains why systems, not individual effort, create durable law-firm scale.
Adam Rossen · Rossen Law Firm
Why Do Great Lawyers Struggle to Run Great Law Firms?
Adam Rossen separates legal craft from the operating disciplines required to lead a firm.
Adam Rossen · Rossen Law Firm
What Actually Makes a Law Firm Successful?
Neil Dubo identifies the habits and decisions that turn legal expertise into a healthy business.
Neil Dubo · Dubo Law
What Are the Only Three Ways a PI Firm Can Make More Money?
Rob Levine breaks personal-injury growth down into three operating levers.
Rob Levine · Rob Levine Law
How Is Your Intake Team Losing Cases — and How Can AI Help?
Rob Levine explains how missed intake signals can quietly cost a firm valuable matters.
Rob Levine · Rob Levine Law
How Do Lawyers Grow a Practice Through Their Professional Network?
Aidan Welsh describes the compounding business value of a strong professional network.
Aidan Welsh · SGB Family Law
Is AI in Law a New Shift, or Just the Next Reference Tool?
Neil Dubo compares today’s AI transition with earlier shifts in how professionals access knowledge.
Neil Dubo · Dubo Law
Is AI in Law Still the Future, or Already the New Normal?
Neil Dubo argues that AI has already moved from novelty to everyday professional infrastructure.
Neil Dubo · Dubo Law
How Big Will the AI Shift Be for Professional Services?
Philip Hearn offers a provocative view of the scale of the coming AI transition.
Philip Hearn
How Does Technology Help a Lawyer Do Better Legal Work?
Aidan Welsh explains how technology can spark curiosity, creativity, and better legal work.
Aidan Welsh · SGB Family Law
What Separates Great Lawyers in an AI-Enabled Firm?
Neil Dubo connects professional excellence with sustained curiosity and learning.
Neil Dubo · Dubo Law
How Can Law Firms Use AI Without Replacing Lawyers?
Michael Byrd and Brad Adatto explain how better tools create more room for judgment, relationships, and human work.
Byrd Adatto · ByrdAdatto
Where Does Law Firm AI Adoption Actually Start?
ByrdAdatto describes curiosity as the starting point for practical firm-wide adoption.
Byrd Adatto · ByrdAdatto
Why Do Law Firm AI Implementations Fail Without Training?
Tripp Segars explains why tools create value only when firms invest in the people using them.
Tripp Segars
How ByrdAdatto Took AI From Experiment to Firm-Wide Adoption
ByrdAdatto recounts the path from investigating AI to using FasterOutcomes across the firm.
Byrd Adatto · ByrdAdatto
Is the AI Advantage in Personal Injury Coming, or Already Here?
Rob Levine explains why his firm treats better technology as a present-day operating advantage—not a future experiment.
Rob Levine · Rob Levine Law
How Is Rob Levine Law Using AI to Find More Value in PI Cases?
Rob Levine discusses how FasterOutcomes changes what his team can find and develop inside a case.
Rob Levine · Rob Levine Law
What Can Legal AI Do Beyond Summarizing Documents?
Aidan Welsh explains how useful legal AI extends from document review into strategy and action.
Aidan Welsh · SGB Family Law
How Are Family Law Firms Using AI to Gain a Competitive Advantage?
Aidan Welsh describes why better intelligence is becoming essential to competitive family-law practice.
Aidan Welsh · SGB Family Law
Can AI Increase Firm Capacity Without Reducing Revenue?
Aidan Welsh connects technology-assisted efficiency with greater capacity while preserving firm value.
Aidan Welsh · SGB Family Law
How Does a Legal Team Actually Use AI Day to Day?
A legal team describes where FasterOutcomes fits into its practical AI workflow.
Legal Marketing
How Rob Levine Law Uses AI to Analyze Medical Records and Build Stronger PI Cases
Rob Levine shows how Saxon builds the medical record and carries it into liability, damages, demand, and settlement strategy.
Rob Levine · Rob Levine Law
How Do Peptide and GLP-1 Programs Stay Compliant With State and FDA Rules?
Brad Adatto explains how state law, licensing boards, the FDA, and pharmacy rules shape peptide and GLP-1 programs.
Brad Adatto · ByrdAdatto
How Can PI Law Firms Use AI for Medical Chronologies and Demand Letters?
Tripp Segars explains how FasterOutcomes helps his firm build stronger demands and medical chronologies more efficiently.
Tripp Segars · Diaz Law Firm
Evaluate the Workflow on Your Own File
Bring a Representative Matter to the Demo
See how the platform reads the record, ties findings back to source pages, and prepares work for professional review. Your team can judge the output against a file it already understands.
