We spoke with Chris Wada, Senior Vice President and General Manager of Compliance Solutions at Intapp, about how firms can effectively manage compliance risk in the age of AI. We also explored why generic AI falls short, and how Firm AI — AI built for the business of the firm — helps professional firms
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Firm AI Principle 7: The firm’s memory and methods are the moat.
In our final installment of the Firm AI Principles series, we discuss what truly differentiates a firm and gives it competitive advantage: its collective experience over time, and unique approach to serving clients and running the business of the firm.
Principle 7: The firm’s memory and methods are the moat.
Two things compound inside a
What blocks private capital firms from scaling AI?
The private capital firms pulling ahead have one thing in common: They’ve embedded Firm AI throughout the deal lifecycle.
Designed for private capital, Firm AI understands the complex relationships, workflows, and compliance obligations that define your business. It unifies data, automates work, and delivers real-time insights while operating within your guardrails — giving your
Why building your own AI governance is the wrong bet
When AI tools started arriving in law firms, a reasonable question followed: do we need to buy a governance layer, or can we build one ourselves? Firms with strong IT teams looked at the API documentation for Harvey, Copilot, and others and concluded the integration work was manageable. For some, it still looks that way.
Firm AI Principle 6: Professional compliance is the substrate. Trust is what gets built on top of it.
Professional services firms have unique ethical and regulatory obligations that govern how business must be conducted. Not meeting those obligations is one of the greatest risks a professional services firm faces. As more business gets conducted through artificial intelligence, the more firms must ensure that compliance is built into the tools and processes that are
How Firm AI is changing the way professional firms operate and compete
What distinguishes Firm AI from generic AI?
Nikolaus Grefe
Generic large language models (LLMs) — even frontier models like Fable 5, GPT 5.6, and Kimi K3 — struggle to make sense of a firm’s complex data model.
For example, let’s say Claude is connected to your system of record through an MCP server. If you
Firm AI Principle 5: Coworker agents are how the growth gets unlocked.
This week in our series on the principles that Firm AI is built on, we cover the key to unlocking growth in professional and financial services firms: scaling the previously labor-intensive but critical business processes of the firm without adding overhead. How? With expert coworker agents.
A general-purpose agent does many things adequately and nothing
Intapp now enforces your ethical walls inside Harvey
The Harvey and Intapp integration is now live.
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The Harvey and Intapp Walls integration is now generally available. Confidentiality risk has been one of the biggest barriers to AI adoption at law firms, and today that changes. Intapp Walls and Harvey
Beyond the billable hour: How Firm AI is transforming timekeeping and billing into a strategic advantage
How is AI changing what law firms need from their timekeeping technology?
KEN HOUSEMAN
Clients expect their law firms to use AI to complete work faster — and be charged for fewer hours as a result. But the time a lawyer spends on client work doesn’t necessarily reflect the value being delivered, so firms are
How Firm AI unlocks value across every stage of the private capital investment lifecycle
Research indicates that private capital firms get the greatest value from AI when it’s applied in a structured, consistent way across the investment lifecycle. Yet there’s a significant gap between isolated AI use cases and firmwide advantage: Only 7% of firms have scaled AI enterprise-wide.
To scale AI successfully, firms need to stop using fragmented