Sep 2, 2026 · 43m · saastr
Shipping Enterprise AI Agents with the CPOs of Rubrik, Glean, and Harvey
Jason Lemkin · 10m spoken Chief Product Officer, Glean · 8m spoken Anique Drumright · 8m spoken Chief Product Officer, Rubrik · 7m spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this SaaStr panel hosted by Jason Lemkin, Chief Product Officers from Rubrik, Glean, and Harvey share practical strategies for building, governing, and monetizing enterprise AI agents. They demonstrate how deterministic guardrails, human-in-the-loop workflows, and domain-expert implementations are driving agentic adoption across cybersecurity, enterprise knowledge, and legal sectors.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 29.8% of the talking time here. How this is scored →
Jason as informed peer 5.1 Guest teaching 4.4 Guest disagreement 1.6 Jason pushing back 3.6
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 18:16 Drumright counters Lemkin's premise on enterprise purchasing and partner friction
When Lemkin claims corporate founders easily sign off on software whereas law partners guard their personal draws, Drumright immediately interrupts to challenge his corporate spending premise and reframes adoption around non-negotiable client expectations.
Hardest push from Jason ▶ 25:49 Lemkin pushes hard on autonomous agent liability and vendor blameLemkin refuses to gloss over governance, directly confronting Rubrik's CPO on who takes the blame when automated agents execute faulty recovery workflows in production.
Biggest teaching moment ▶ 10:50 Glean CPO explains offline organizational intelligence versus runtime MCP toolsGlean's CPO systematically educates Lemkin on why runtime protocol calls like MCP fall short of deep organizational context, which requires offline knowledge graph computation across historical company data.
Jason holds their own ▶ 18:15 Lemkin details the financial mechanics of selling software to equity partnershipsLemkin demonstrates deep insider domain knowledge of law firm economics, showing why selling seven-figure legal tech deals differs fundamentally from standard enterprise SaaS due to direct deductions from partner profit distributions.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| Rubrik: Engineering Autonomous Agents for Cyber Recovery | 6 | 5 | 1 | 2 | Lemkin shows solid familiarity with emerging AI infrastructure, specifically contrasting prompt-based search with MCP integrations and LLM memory. Glean's CPO educates the host on the architectural distinction between runtime API fetching via MCP and high-compute offline graph processing of company context. | |
| Harvey: Driving Agentic Adoption Across Elite Law Firms | 4 | 5 | 3 | 5 | Lemkin repeatedly expresses skepticism that conservative senior partners using ThinkPads are drafting and reviewing agentic prompts. Drumright pushes back politely against his characterization, explaining how top law firms use structured workflows and verification loops. | |
| The Economics of Legal Tech: Selling AI to Partnerships | 7 | 3 | 3 | 4 | Lemkin delivers an expert breakdown of law firm partnership economics, explaining how tech purchases come directly out of partner equity distributions rather than standard corporate budgets. Drumright pushes back playfully on his characterization of corporate buyers and argues that end-client pressure drives adoption. | |
| Demo: Rubrik's Ruby Agent and Deterministic Execution | 2 | 4 | 0 | 0 | Rubrik's CPO presents a detailed product demo of Ruby, explaining the shift from simple RAG to deterministic execution for cyber incident recovery. Lemkin steps back into a passive host role and allows the guest to demonstrate the technical architecture uninterrupted. | |
| Platform Governance: Accountability, Guardrails, and Systems Integrators | 6 | 4 | 2 | 6 | Lemkin presses hard on vendor accountability and enterprise liability when autonomous agents make catastrophic operational errors. Rubrik's CPO firmly defends their stance, arguing that vendors must take full responsibility and that well-guarded agents reduce human configuration errors. | |
| Demo: Glean's Revenue Operations Agent Builder | 6 | 5 | 1 | 5 | Lemkin challenges Glean on why an agent is needed when Gong natively syncs CRM fields to Salesforce, citing his own portfolio board experience with real-time win-loss agents. Glean's CPO clarifies that the agent applies nuanced executive context and sales frameworks rather than basic field dumping. | |
| Harvey: System-Wide Agent Architecture and Legal Customization | 5 | 5 | 1 | 3 | Lemkin interrogates Harvey's deployment model, probing how legal knowledge is systematized firm-wide. Drumright explains that Harvey employs dedicated pods including former practicing lawyers as legal engineers to craft bespoke firm-level playbooks. |
Statements from this episode (16)
Lemkin: CPO is the single most stressful job in B2B tech today
“We have what I think is the single most stressful job today in B to B is being a chief product officer”
Lemkin: Atlassian monetized its AI agent and drove its stock up
“Atlassian just launched. They finally were able to really monetize their AI agent and it's crushed their stocks up.”
Rubrik CPO: Building agents for cyber recovery was harder than expected
“It's been actually a much more challenging problem to build agents within our product than I think I thought it was going to be a year ago to really deliver those outcomes.”
Glean CPO: External AI harnesses grow faster than native Glean UI
“I mean, if I bundle all of the cloud, cursor, codecs, it is one of the fastest growing parts and definitely faster growing than the UI of Glean, which is still by a large margin, a very high daily engagement driver.”
Glean CPO: MCP runtime fetching cannot replace offline-processed enterprise context
“The key thing is MCP, as much independence as it brings, it's a very runtime fetch of information. You are bound by the latency or you are bound by the search APIs under the hood provided by these themes. So it's a very different paradigm when you rely on High…”
Drumright: Harvey is deployed in over 60% of the Am Law 100
“We're in 60 plus percent of AMLA 100. We're in Fortune 500.”
Lemkin: Selling tech to law firms is harder because partners pay personally
“But ultimately, you're not taking money out of his personal pocket. When you go to a law firm, I mean, what, I don't know what the biggest Harvey deal is. Let's imagine it's 20,000,030 million a year, ok? That's got to come either from another substitute tool,…”
Rubrik CPO: Users will eventually operate Rubrik entirely without UI dashboards
“And our vision here is that eventually you can operate all of rubric through this interface, that you do not need the UI and dashboards at all, that it will be a fully agentic experience.”
Rubrik CPO: Rubrik's cyber recovery plans are deterministic, not probabilistic
“So instead, what we're using is we're using like all the LLMs to help come up with the plans, but the plans themselves Of how you're going to do a recovery in a cyber scenario are deterministic and then are explainable to the customer.”
Rubrik CPO: Enterprises refuse full agentic control over core infrastructure
“So we're seeing a lot of pull towards agentic solution, but also caution because they are not willing to kind of cede control completely to agents for their core infrastructure and core security systems.”
Rubrik CPO: Software vendors are rightfully blamed for customer configuration errors
“At the end of the day, we're still responsible. Even when a customer makes a mistake and something isn't working, they blame us and rightfully so. They should. It's our responsibility to make it obvious what the right choices are.”
Rubrik CPO: Guardrailed AI agents will make fewer mistakes than human operators
“People are going to make mistakes more than agents if we build our agents with the right guardrails around it. And so our belief is that actually we'll make fewer mistakes in an agentic world We'll tell people what the right solution is. We'll keep, take more …”
Lemkin: Vendor product complexity will increase tenfold with enterprise AI agents
“I think the complexity is going to go up in order of magnitude when these agents are out.”
Glean CPO: Generic AI skills fail at sales call analysis
“The worst thing that you can do Is to get a skill from the internet to say, hey, give me a call analysis skill and then apply it to all these things.”
Drumright: Harvey employs around 180 former lawyers as legal engineers
“We have, you know, I think a 180 legal engineers who are Working with these law firms and in-house teams on building bespoke agents based upon the firm's best practice, the playbooks, their precedent. And these legal engineers have themselves been lawyers for …”
Drumright: Harvey's FDE pods include software engineers, PMs, and lawyers
“We have both forward deploy engineers that are, you know, you have an agent PM, you probably have one or two actual lawyers within that FDE unit, and then you have software engineers and they're working bespoke with specific.”