- Agentic AI Automation: Intapp's Celeste AI automates 80% of compliance and timekeeping processes, reducing human intervention in risk management and revenue capture.
- Efficiency Gain: AI agents can parse, populate, and flag intake forms, conflicts, and time entries, cutting processing time by up to 50%.
- Industry Impact: BakerHostetler expects immediate improvements in intake and conflicts evaluation speed with Celeste.
Experts would likely conclude that Intapp's agentic AI represents a transformative shift in law firm operations, offering scalable solutions to compliance and revenue challenges while prioritizing governance and data security.
Intapp's Agentic AI Aims to Remodel Law Firm Operations and Economics
PALO ALTO, CA – August 19, 2026
In a move that signals a significant architectural shift in the professional services technology landscape, Intapp (NASDAQ: INTA) has announced the re-engineering of its core Compliance and Time solutions. The new offerings, infused with the company’s agentic AI, Celeste, represent a strategic pivot to an “agent-first” platform designed to automate the foundational, and often burdensome, processes of risk management and revenue capture.
This development is more than a product update; it's a direct response to the powerful economic and technological forces squeezing professional firms from two directions at once. On one side, relentless growth through mergers and lateral hires has created a labyrinth of compliance and risk management challenges. On the other, the very promise of AI-driven efficiency is putting existential pressure on the traditional billable hour. Intapp's bet is that by deploying governed, autonomous AI agents at the heart of these processes, firms can not only survive this squeeze but fundamentally reshape their operating models for a new era.
The Dawn of the AI Agent in Professional Services
The term “agentic AI” has rapidly moved from academic concept to commercial reality, representing a leap beyond the capabilities of familiar generative AI tools. While a standard AI might respond to a prompt—summarizing a document or drafting an email—an AI agent is designed to understand a goal, formulate a multi-step plan, and execute it autonomously. It can interact with different systems, retrieve data, and make sequential decisions to complete complex workflows with minimal human intervention.
Intapp is packaging this capability into what it calls “Firm AI”—a holistic system where AI isn’t just an assistant for individual tasks but an integral part of the firm’s core business engine. The key distinction is governance. By building Celeste directly into its established platform for intake, conflicts, and time, Intapp ensures the AI operates within the firm's specific rules, on its own data, and under its own compliance guardrails.
Practically, this translates into two powerful new capabilities:
Compliance with Celeste: This solution embeds agentic AI into the critical client and matter inception process. When a new matter request arrives, Celeste can parse the initial email, automatically populate the intake form, and flag any missing information before it even enters the system. It can then build a search strategy for conflicts, map complex corporate family trees, run the necessary searches across internal and external databases, and triage the results, presenting a clean, prioritized list for human expert review. For client terms, the agent can read and digest lengthy Outside Counsel Guidelines, extract key obligations, and ensure they are properly filed and enforced.
Time with Celeste: Addressing the revenue side of the equation, this solution automates the notoriously manual and often inaccurate process of timekeeping. Celeste drafts complete, compliant time entries by observing a professional's digital workstream—emails, documents, calendar events—and filling in the gaps. It can rewrite user-entered narratives to comply with specific client billing guidelines and firm style, flag and help correct rule-breaking “block-billed” entries, and ultimately provide a much clearer, data-driven view of matter profitability.
An Answer to the Industry's Squeeze Play
The strategic importance of this technology becomes clear when viewed through the lens of the modern professional services firm's economic reality. The industry is caught in a vise, and Intapp is positioning Celeste as the tool to relieve the pressure.
The first pressure point is risk. In a sector characterized by rapid consolidation and aggressive lateral hiring, the complexity of onboarding new clients and matters has skyrocketed. The manual, human-intensive processes for checking conflicts and ensuring compliance can no longer keep pace. This creates a dangerous trade-off: either slow down growth to maintain rigor, or accelerate growth and accept a higher level of risk. Agentic AI offers a third path. By automating the high-volume, repetitive components of risk assessment, Celeste allows scarce human experts to focus their time on judgment and analysis, scaling the firm’s compliance capacity without a linear increase in headcount.
As Katherine Lowry, Chief Information Officer at BakerHostetler, noted regarding the firm's adoption of the technology, the impact is expected to be immediate. “We believe that Celeste can have a very positive impact on our intake and conflicts process,” she stated. “Celeste’s cutting-edge AI capabilities will help us responsibly take on matters and evaluate conflicts faster than ever before.” This is particularly vital for a firm like BakerHostetler that has experienced significant growth through lateral expansion.
The second, and perhaps more disruptive, pressure point is revenue. The billable hour, the bedrock of legal and consulting business models for a century, is cracking under the weight of AI-driven efficiency. As AI tools help professionals work faster, clients are increasingly unwilling to pay for time spent on tasks that can be automated. This forces firms to find new efficiencies and experiment with Alternative Fee Arrangements (AFAs). Time with Celeste is designed to facilitate this transition. By capturing time that would otherwise be lost and ensuring every entry is compliant and billable, it immediately helps prevent revenue leakage. More strategically, the rich data it generates on work activity, billing rules, and financial outcomes provides the analytical foundation firms need to confidently scope, price, and staff matters under new AFA models.
Building Trust: Governance as a Foundation
For any AI technology to gain traction in highly regulated industries like law and finance, it must overcome significant hurdles related to trust, security, and data privacy. Intapp’s emphasis on “governed AI” and its integrated platform approach is a direct attempt to address these concerns head-on.
The company’s value proposition rests on the idea that by controlling the entire stack—the underlying data, the workflow applications, and the AI agent itself—it can provide a level of security and compliance that a patchwork of third-party tools cannot. “Intapp is now agent-first,” explained Thad Jampol, Co-Founder and Chief Product Officer at Intapp. “We’ve re-architected our Compliance and Time solutions with Celeste and agentic workflows at their core, so the agents, the data they run on, and the compliance guardrails all come from one place.”
This integrated architecture is crucial. It ensures that sensitive client data remains within a secure, auditable environment, subject to the firm's specific access controls and ethical walls. It allows the AI to be trained and operated “on each firm’s own data and under its own rules,” a critical requirement for maintaining confidentiality and adhering to unique client obligations. This stands in stark contrast to the risks associated with feeding proprietary information into public, consumer-grade AI models.
While Intapp is making a strong push, it is not alone. The legal and professional tech landscape is crowded, with major players like Thomson Reuters and a host of agile startups all developing AI solutions. However, many competitors are focused on applying AI to discrete legal work tasks like research or document review. Intapp’s strategic differentiator appears to be its focus on embedding agentic AI into the core business and operational processes of the firm itself, creating a system that doesn't just help professionals do the work, but helps the firm run the business.
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