New, agent-first solutions – Compliance with Celeste and Time with Celeste – bring agentic AI that knows how the firm works to the workflows behind profitable, compliant growth, from business acceptance and client risk management to timekeeping and revenue governance
PALO ALTO, Calif. — August 19, 2026 — Intapp (NASDAQ: INTA), the governed AI platform
As firms grow through lateral hiring, private capital investment, and M&A and geographic expansion, the volume of new business rises — and so does the compliance work required to accept it.
Every new engagement requires teams to clear intake, conflicts, and client obligations before it can be billed. The repetitive steps that stand between experts and
Intapp Time re-architected with Intapp Celeste and agentic workflows is now available. Agentic AI makes capturing every hour effortless for timekeepers while protecting earned revenue at the point of entry — turning time data into intelligence that makes every matter more profitable.
The economics of law firms are being rewritten. AI is automating the routine,
The Motley Fool spoke with Intapp CEO John Hall about Intapp Celeste and why AI governance is critical for law firms and other professional firms.
The article explores how Celeste applies a firm’s existing ethical walls, permissions, and compliance requirements to AI interactions, helping ensure users only receive information they’re authorized to access. It also
We sat down with Sebastian Hartmann, Vice President of Alliances and Partners at Intapp, to explore why the age of agentic AI is the age of the ecosystem, and how Firm AI – AI built for the business of the firm – plays a critical role. We also discussed how AI is reshaping the role of
Most law firms don’t set out to build a compliance platform. It starts with a general-purpose AI tool pointed at conflicts, a script someone wrote to help with intake, a spreadsheet that tracks outside counsel guidelines. None of it feels like a platform decision. Until two years pass and a senior analyst leaves, the script
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
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
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
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.
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
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
The firms pulling ahead in business development right now aren’t outpitching their competitors. They’re out-knowing them. They know which client relationships are cooling before the client picks up the phone. They see the cross-practice opportunity before the partner thinks to ask. They walk into every pitch having already mapped the relationship history, identified the warm
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
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
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