BDO's Legal Tech Talk Podcast

Key Takeaways1. There Is More Than One Path to SuccessKatya's journey demonstrates that traditional milestones are not the only route to meaningful achievement and fulfillment. 2. Environment Shapes ConfidenceGrowing up around immigrants, academics, entrepreneurs, and high achievers instilled the belief that difficult things are possible regardless of circumstances. 3. Fearlessness Is Not the Absence of FearKatya openly discusses experiencing anxiety, self-doubt, and fear, but emphasizes the importance of acting anyway. 4. Hidden Strengths Often Appear UnexpectedlyA single law school tax course revealed talents and interests she never knew she had, ultimately reshaping her entire career trajectory. 5. Relationships Create OpportunityMuch of Katya's early professional success came from building authentic relationships and creating trust long before she had a powerful résumé. 6. Entrepreneurship Starts with Solving ProblemsWhether organizing events as a teenager, launching a solo law practice, or founding Aracor, the common thread is identifying unmet needs and taking ownership of the solution. 7. The Best Builders Stay CuriousMany pivotal moments in Katya's career came from exploring areas that initially felt unfamiliar, intimidating, or outside her comfort zone. [ 8. Professional Success Does Not Eliminate the Desire to BuildEven after achieving positions many would consider career destinations, Katya continued searching for new challenges and opportunities to create something meaningful9. Innovation Requires Challenging AssumptionsKatya argues that many industries adopt new technologies without fundamentally changing how work gets done, limiting the impact of innovation. 10. Mentors Come in Many FormsRole models do not always need to be people you know personally. Books, stories, and historical figures can provide guidance and inspiration throughout a career. ________________________________________Guest NotesKatya Fisher - Founder & CEO, AracorExecutive Vice Chairman & Chief Legal Officer, Constructor GroupKatya Fisher is an attorney, entrepreneur, legal executive, and legal technology founder. She serves as Founder and CEO of Aracor, a legal technology company focused on improving M&A deal management and legal workflows through AI-driven solutions. She is also Executive Vice Chairman and Chief Legal Officer of Constructor Group, where she oversees legal operations across a global portfolio of companies. Earlier in her career, she launched a solo law practice during the recession, later became a partner at an AmLaw 200 firm, and taught as an adjunct professor. Throughout the conversation, Katya shares lessons from building businesses, leading teams, navigating uncertainty, and creating opportunities through curiosity and persistence. Katya Fisher – LinkedIn Profile

Key Takeaways1. Access to Legal Knowledge Remains an Access to Justice IssueDamien argues that legal information has historically been locked behind expensive subscriptions and proprietary systems. While the law itself is public, access to the information needed to analyze, organize, and use that law often remains inaccessible to many individuals and organizations. He views open legal infrastructure as a critical component of expanding access to justice. 2. Taxonomies Create InteroperabilitySALI and FOLIO are designed to provide common identifiers and shared definitions for legal concepts. By creating standardized legal vocabularies, organizations can connect documents, systems, data sources, and AI tools more effectively while reducing fragmentation across the legal ecosystem. 3. AI Is Most Powerful When Combined with Structured DataRather than relying exclusively on probabilistic large language models, Damien advocates pairing AI with structured legal knowledge, taxonomies, and knowledge graphs. He argues that the future of legal AI depends as much on organization and structure as it does on model performance. 4. Data Can Supplement Legal JudgmentThe conversation explores whether legal outcomes can be quantified and analyzed at scale. Damien suggests that many decisions currently framed as professional judgment may actually be informed by patterns that can be measured, analyzed, and incorporated into legal decision-making processes. 5. Creativity Often Exists at the Edge of Statistical ProbabilityDrawing connections between music and law, Damien argues that creativity frequently emerges when someone departs from the most statistically likely outcome. The same principle applies to both memorable melodies and breakthrough legal arguments. 6. The Next Wave of Legal AI Involves Capturing Human ExpertiseOne of the episode's strongest insights is that future legal workflows may focus on converting human expertise into reusable artifacts that AI systems can reference, apply, and expand upon. According to Damien, much of legal AI's future may involve capturing expertise already residing in lawyers' heads. 7. Law May Become Increasingly ComputableThrough structured legal concepts, knowledge graphs, and semantic relationships, legal analysis may become more predictable, measurable, and machine-readable. While human judgment remains important, Damien sees significant opportunities to make legal reasoning more computable than it is today. Guest NotesDamien Riehl | LinkedInSolutions Champion, ClioDamien Riehl is an attorney, technologist, musician, and legal innovator whose career spans complex litigation, digital forensics, legal analytics, software development, legal AI, and access-to-justice initiatives. After serving in legal and technology leadership roles, including work with vLex and Docket Alarm, now part of Clio, Damien has become a leading advocate for open legal standards and structured legal knowledge.He is also a creator of SALI and FOLIO-related initiatives and is widely recognized for the music project that algorithmically generated hundreds of billions of melodies and placed them into the public domain to address copyright disputes. Throughout the conversation, Damien shares perspectives on legal data, AI, interoperability, access to justice, legal analytics, and the future of computable law.

Key Takeaways1. Billable Hours Were Designed for a Different EraTraditional time-based billing solved important business problems, but AI is forcing firms and clients to reconsider whether hours remain the best proxy for value. 2. The Value of Legal Work Is ShiftingAs AI reduces the cost of production work, firms are increasingly being valued for expertise, accountability, and the willingness to stand behind legal advice and work product. 3. Legal Value Should Be Measured from the Outcome BackwardThe proper starting point for defining value is not the effort expended, but the business objective that created the legal need in the first place. 4. Metrics and KPIs Are Not the Same ThingMetrics track activity, while KPIs should be directly connected to organizational objectives and critical success factors. 5. Law Firms Need to Move Beyond Measuring ActivityUtilization, realization, and profitability remain useful operational measures, but they do not necessarily indicate whether a client received meaningful value. 6. Alternative Fee Arrangements Require Better MeasurementAFAs depend on firms understanding profitability, predictability, and performance before work begins, not after matters close. 7. Understanding Client Context Creates More ValueAs production work becomes more automated, understanding a client's business objectives becomes a larger differentiator for law firms8. KPI Programs Must Align with Organizational GoalsEffective KPI design begins with objectives, flows through critical success factors, and only then leads to measurement. 9. AI Creates Capacity, Not Necessarily ValueThe greatest opportunity may not be doing the same work faster, but using newly available time to provide higher-value strategic guidance. 10. Some Elements of Legal Value Remain Difficult to MeasureRelationships, trust, creativity, and human judgment continue to influence legal outcomes in ways that cannot easily be captured by dashboards or metrics. Guest NotesMori Kabiri, CEO, InfiniGlobeMori Kabiri is the CEO of InfiniGlobe and a recognized leader in legal operations analytics, KPI development, and legal performance measurement. He is the author of both Legal Operations KPIs and Law Firm KPIs: The Professional's Handbook for Pricing, Productivity, and Profitability. Through his work with legal departments, law firms, and legal operations communities around the world, Mori helps organizations create measurement frameworks that connect legal work to business objectives and outcomes

Key Takeaways1. Technology Is Driving Change Faster Than Many Firms ExpectedLegal has historically been slower to adopt operational and technological transformation than other professional services industries. According to Seth, that dynamic is changing because clients now have access to technology that allows them to perform more work internally and demand new service models from outside counsel.2. Outside Capital Is Changing Competitive DynamicsWhether firms pursue outside investment or not, the presence of private capital is introducing new expectations around growth, operational maturity, leadership structure, and technology investment.3. Not Every Law Firm Is the Same BusinessContingency-fee firms, creditors' rights firms, subscription-based firms, and traditional billable-hour firms operate under fundamentally different business models.4. Investors Focus on Predictability, Not TraditionFactors such as client concentration, leadership depth, operational processes, recurring revenue, and dependence on individual practitioners heavily influence valuation.5. Leadership Matters Beyond Legal ExpertiseThe firms attracting investment tend to have leadership structures and management depth that allow them to function as organizations rather than extensions of a single founder.6. AI Is Accelerating Existing TrendsAutomation, client adoption of AI, and changing economics are forcing firms to reconsider staffing models, pricing structures, and the value they deliver.7. Legal Is Entering a Broader Business TransformationThe legal industry's future may increasingly resemble other professional services sectors that have already undergone consolidation and technology-enabled transformation.________________________________________Guest NotesSeth Deutsch | LinkedIn ProfileFounder and Managing Partner, Samson Partners GroupSeth Deutsch is the Founder and Managing Partner of Samson Partners Group, an advisory firm that helps founders understand enterprise value, prepare businesses for liquidity events, and navigate transactions involving private equity and strategic buyers. Throughout his career, Seth has acquired more than 80 founder-led businesses and evaluated thousands more across professional services, accounting, architecture, engineering, and other industries.

Key Takeaways1. Institutions Can Appear Stable Until They Are NotRoss's experiences at both Brobeck during the dot-com collapse and Credit Suisse ahead of the financial crisis reinforced an important lesson: organizations that appear durable can deteriorate much faster than most people expect. Understanding underlying incentives and business fundamentals often matters more than reputation or size. 2. Incentives Drive Behavior More Than PoliciesWhen organizations struggle with legal risk, compliance failures, or governance breakdowns, the root cause is often misaligned incentives rather than technology limitations. Understanding how people are rewarded or penalized provides valuable insight into decision-making behavior. 3. Legal Departments Are Becoming Information HubsModern legal teams increasingly serve as repositories for organizational knowledge, contracts, obligations, commercial terms, and business facts. Many emerging legal technologies are helping organizations organize and access information just as much as they are delivering legal analysis. 4. Access to Information Does Not Eliminate the Need for JudgmentAs AI tools become more widely available, competitive advantage shifts away from who has information and toward who can interpret it effectively. The ability to understand client goals, evaluate tradeoffs, and apply context remains a critical differentiator. 5. AI Will Change Legal Education But Not the Need for Critical ThinkingLaw schools, firms, and employers continue to wrestle with how AI should be incorporated into education and practice. The challenge is not whether future lawyers should use AI, but how they can develop professional judgment while leveraging increasingly powerful tools. 6. Litigation Decisions Are About More Than Legal MeritsEvaluating litigation involves financial, operational, reputational, and strategic considerations. Predictive tools may help organizations assess outcomes, but human judgment remains essential for evaluating the broader business implications of disputes. 7. Relationships Outlast Professional CredentialsOne of Ross's strongest observations is that decades later, he remembers the people who influenced him far more than the specific lessons he learned in school. Long-term success often depends on building and maintaining meaningful professional relationships. ________________________________________Guest NotesRoss Weiner | LinkedinAdvisor, Board Member, Former General Counsel, and EntrepreneurRoss Weiner has built a career at the intersection of law, finance, technology, and entrepreneurship. His experience includes roles at major law firms, investment banking institutions, and M&A advisory firms, as well as co-founding Axon Partners and serving on advisory and nonprofit boards. Throughout the conversation, Ross offers a practical perspective on navigating uncertainty, managing risk, evaluating business decisions, advising founders, and adapting professional expertise in an increasingly AI-enabled world.

Key Takeaways1. The Legal Industry Is Embracing AI Without a Clear Consensus on the DestinationWhile AI adoption is accelerating across legal technology, there is still considerable disagreement about where the technology is heading and how disruptive it will ultimately become. Organizations are making strategic decisions in an environment where even industry experts see the future differently. 2. Education and Enablement Remain the Biggest Obstacles to Successful AdoptionMany of the challenges associated with AI stem not from flaws in the technology itself, but from misunderstandings about how it works and where its limitations lie. Training, oversight, and user education are essential components of responsible adoption. 3. Defensibility Matters More Than NoveltyWhether legal teams use traditional review methods, active learning, or generative AI, the standard remains the same: produce reliable, defensible outcomes that can withstand scrutiny. The technology may change, but the obligation to validate results does not. 4. Measuring Success Requires More Than AccuracyAron provides one of the clearest explanations of recall, precision, and richness ever discussed on the podcast, emphasizing why those measurements matter more than simple accuracy when evaluating discovery workflows and review performance. 5. Translating Attorney Intent Is Becoming a Core AI SkillAs legal professionals increasingly rely on AI tools, success depends on effectively communicating legal judgment, subject matter expertise, and case strategy to AI systems. Organizations that build repeatable methods for capturing and translating that expertise will have a significant advantage. 6. Change Management Is Emerging as a Critical Component of AI GovernanceAI systems evolve continuously. Organizations must develop processes for testing, validating, and communicating model changes while maintaining consistency and defensibility across legal matters. 7. Accountability Has Not Changed, Even If the Technology HasEvery participant in the legal ecosystem has responsibilities when deploying AI, from technology providers to law firms and end clients. Ultimately, professionals remain responsible for the work product they produce and the decisions they make. ________________________________________Guest NotesAron Ahmadia, Vice President of Applied Science, RelativityAron Ahmadia leads applied science initiatives at Relativity, where he helps guide the development of AI capabilities used across legal technology, investigations, and discovery workflows. With a background in computational science, machine learning, and large-scale data systems, he focuses on translating complex technical concepts into practical applications for legal professionals.LinkedIn Bio: Aron Ahmadia | LinkedIn

Key Takeaways1. AI Is Different from Previous Legal Technology WavesUnlike e-discovery, which emerged to solve a clearly defined problem, generative AI arrived as a powerful solution before many organizations fully understood what problems it should solve.2. Law Firms Must Start with Business ProblemsOrganizations often say they "need AI" when what they actually need is to automate a process, improve decision-making, reduce costs, or address inefficiencies.3. Innovation Requires Executive Buy-InSuccessful technology adoption depends on visible support from firm leadership. Without top-level sponsorship, new initiatives often struggle against organizational resistance.4. Process Comes Before TechnologyYou cannot automate what you cannot define. Before deploying AI, firms should document workflows, identify bottlenecks, and understand how work gets done.5. Lawyers Are Trained as Risk ManagersLegal professionals may be slower adopters, but their focus on risk and defensibility provides a valuable lens for evaluating emerging technologies.6. AI Should Augment, Not Replace JudgmentCurrent AI tools are valuable for drafting, summarizing, organizing information, and identifying insights, but they still require human review and oversight.7. Invisible Technology Often WinsThe most successful legal technology solutions are often those that solve problems without forcing lawyers to become technologists.8. Governance Matters More Than EverAs AI becomes easier to access, issues such as data security, model risk, code provenance, and compliance become critical considerations.9. Law Firms Are Successful, Which Makes Change HardBecause many firms continue to perform exceptionally well financially, there is often limited urgency to fundamentally change traditional business models.10. Skepticism Is HealthyTom advocates experimenting with AI while maintaining a healthy filter for marketing claims, hype, and unrealistic expectations.Guest BioTom Barnett is a Senior Director at Maker5, a legal technology venture studio and advisory firm. With more than two decades of experience at the intersection of law, technology, data science, and innovation, Tom has built and led advanced analytics, e-discovery, and AI-focused teams at some of the nation's leading law firms, including Sullivan & Cromwell, Paul Hastings, and Jackson Lewis.At Paul Hastings, he founded and led a 20-person data science, analytics, and investigations team that was ultimately acquired by one of the world's largest private equity firms. Today, he advises organizations on AI strategy, legal technology innovation, risk management, governance, and the practical realities of technology adoption in legal services.Tom Barnett | LinkedIn Profile

Key TakeawaysProactive data privacy and security programs are essential for AI, and legal, IT, and compliance teams must collaborate to govern it effectively.States are rapidly developing their own AI regulations and organizations are facing a growing patchwork of compliance obligations.Effective regulation must balance innovation, consumer protection, constitutional rights, and business realities.AI is accelerating the shift toward value-based legal services and away from the billable hour.AI can unlock institutional knowledge across decades of pleadings, filings, and legal work product.Firms may gain competitive advantages through better retrieval and application of accumulated expertise, helping to solve succession and retention challenges.Tamara Lemmon | Wilson SonsiniGuest NotesTamara LemmonTamara Lemmon is an associate in Wilson Sonsini's litigation and investigations practice based in Salt Lake City. Her work focuses on complex litigation, investigations, data privacy, and regulatory compliance.

Key Takeaways1. Attorney Adoption of AI Has Accelerated Faster Than Any Prior Legal TechnologyUnlike predictive coding and earlier e-discovery tools, attorneys can interact directly with AI and immediately see results.The visibility of AI outputs has significantly increased enthusiasm for adoption.Law firms are experiencing unprecedented demand from lawyers who want to experiment with and deploy new AI tools. 2. AI Is Leveling the Legal Playing FieldGenerative AI reduces barriers to sophisticated legal analysis and document review.Smaller firms, plaintiff-side practices, and self-represented litigants now have access to capabilities that were previously resource-intensive.The impact of AI on access to justice continues to create both opportunities and new challenges. 3. Hallucinations Are Only One AI RiskLegal professionals often focus on hallucinated citations, but consistency problems, omissions, context drift, and validation issues remain equally important.Asking the same question multiple times can generate different results.Human review and verification remain critical. 4. Governance Must Precede ImplementationOutside counsel guidelines, client requirements, ethical walls, and vendor approval processes all influence whether AI tools can be deployed.Some clients require approval before firms may use specific technologies.Effective governance is becoming a competitive advantage for firms adopting AI. 5. Administrative Workflows May Deliver the Fastest ROIAI is helping litigation support teams automate internal processes, improve ticketing systems, manage document production issues, and surface institutional knowledge.Many of the biggest efficiency gains are happening outside of substantive legal work.Reusability and knowledge capture may ultimately produce more value than individual use cases. 6. Firms Are Evaluating Technology on Six-Week TimelinesAI capabilities are evolving faster than traditional technology planning cycles.Organizations can no longer treat AI adoption as a multi-year initiative.Evaluation periods are shrinking while implementation decisions carry long-term consequences. 7. Vendor Proliferation Creates a New ChallengeFirms are seeing a flood of highly specialized AI products.Point solutions may solve individual problems but create operational complexity.Legal organizations must balance innovation against integration, governance, and support requirements. 8. Litigation Timelines Remain Much Longer Than Technology CyclesAI tools may evolve monthly.Litigation matters often last years.Technology decisions made today may impact legal workflows long after today's tools have changed. 9. AI "Slop" Creates Real Costs for ClientsFirms are seeing increased filings and legal activity enabled by generative AI.Even weak or repetitive claims require a response.The resulting workload can become a hidden operational cost for organizations. 10. Success Depends on Balancing Innovation and VerificationFirms must remain innovative while validating outputs carefully.Human expertise remains essential for evaluating legal strategy and quality.The future belongs to organizations that combine technology with strong quality controls. Guest NotesChris BojarHead of E-Discovery and Litigation Support, Barack FerrazzanoChris Bojar leads e-discovery and litigation support for the Chicago-based law firm Barack Ferrazzano. His work spans discovery management, legal technology evaluation, vendor governance, document review workflows, and AI implementation across litigation matters. Chris operates on the front lines of legal operations, helping attorneys navigate both traditional e-discovery challenges and emerging AI technologies. Chris Bojar | LinkedIn Profile

Key Takeaways1. AI Is More Transformative Than the InternetBennett argues that generative AI represents a technological shift comparable to electricity and potentially more disruptive than the computer or the internet.2. Data Is an Organization's Most Valuable Untapped AssetMost corporate knowledge sits dormant in data repositories. Organizations that can structure, govern, and leverage their data effectively will unlock the greatest AI value.3. The Traditional Billable Hour Model Is Under PressureBased on analysis of legal work patterns, Bennett believes AI can perform a significant portion of the work traditionally completed by lawyers, creating major pressure on traditional law firm economics.4. AI Should Be Viewed as Augmentation, Not ReplacementHis preferred analogy is "Iron Man, not Terminator." AI's greatest value comes from enhancing human expertise rather than replacing it.5. Information Governance Has Become StrategicData classification, content labeling, and governance are no longer compliance exercises. They are foundational requirements for successful AI implementation.6. Responsible AI Requires Deliberate DesignOrganizations can shape AI behavior using governance frameworks, retrieval systems, constitutional rules, validation controls, and ongoing measurement.7. Organizations Must Move Beyond EfficiencySimply using AI to do current work faster is not enough. Sustainable advantage will come from reinventing business models and leveraging unique organizational knowledge.8. AI Governance Is Both Technical and Policy DrivenSuccess requires balancing innovation with privacy, security, regulatory compliance, risk management, and human oversight.Bennett B. Borden | LinkedInGuest NotesBennett BordenFounder & CEO, Clarion AI PartnersBennett Borden is an attorney, data scientist, AI strategist, and former law firm partner who began his career at the CIA. He has focused on the intersection of law, technology, data governance, and artificial intelligence. Areas of ExpertiseArtificial Intelligence GovernanceAI Risk ManagementInformation GovernanceE-DiscoveryData AnalyticsAlgorithmic FairnessAI EthicsRegulatory Compliance