AI Agent Studio

AI Agent Studio: Legal AI software

Your AI is only as good as your prompt.

DL Score 54 · Rising Star
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Legal AILegal Operations ManagementOutside Counsel & Spend Management

AI Agent Studio is a configurable generative AI platform within Onit's Unity legal operations ecosystem, used to build, customise and manage task-focused AI agents for legal workflows. ⁣⁠​​‌⁠⁠‍​‍‍‍​‍‌​‌⁣It is designed for law firms and corporate legal departments that want to automate routine legal and operational tasks. Agents handle multi-step work such as invoice review, billing checks, contract analysis and document summarisation through natural language interaction, without replacing existing systems.

Product

AI Agent Studio

Founded

2011

Headquarters

United States

Last updated

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Overview

What AI Agent Studio does

AI Agent Studio provides a framework for creating, customising and managing AI-powered agents. ⁣⁠​​‌⁠⁠‍​‍‍‍​‍‌​‌⁣It includes pre-configured agents, including the Spend Agent, which reviews invoices, identifies billing discrepancies, enforces billing guidelines and supports legal spend management. Other agents assist with contract analysis, matter data review and document summarisation. Users interact with agents through a chat-style interface using natural language, and each agent is designed to handle focused, multi-step tasks. The product is aimed at law firms and corporate legal departments. It is part of the broader Onit Unity Platform and complements Onit's enterprise legal management and contract lifecycle management solutions. It integrates with the platform's workflow automation, reporting and data management tools. It is deployed in the cloud and connects with existing systems such as NetDocuments, iManage, SharePoint, Microsoft 365, Salesforce and SAP, as well as through an API. Onit states that it adds AI capability without replacing existing systems or disrupting established processes.

What it does

AI Agent Studio core capabilities

Spend Agent

Reviews invoices, flags billing discrepancies, enforces billing guidelines.

Chat-style interface

Natural language interaction with agents for documents and insights.

Technical specifications

  • Deployment: Cloud
  • Integrations: NetDocuments, iManage, Microsoft SharePoint, Microsoft 365, Salesforce, SAP, API
  • GenAI / LLM and agentic AI

Who it is for

Who AI Agent Studio is built for

Target audience

  • In-House Legal Teams

Case studies

No case studies yet

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Pricing details

AI Agent Studio pricing

Starting price

Contact for pricing

Pricing model

Not disclosed

Free version

Not offered

Product videos & screenshots

See AI Agent Studio in action

Product interface

AI Agent Studio Interface

Comparisons

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Transparency

AI Agent Studio sources

Pages used to generate and verify this profile.

  1. 1https://www.onit.com/
  2. 2https://www.onit.com/products/ai-studio/
  3. 3https://www.legaltechnologyhub.com/vendors/ai-agent-studio-by-onit/

FAQs

Frequently asked questions about AI Agent Studio

It is designed for law firms and corporate legal departments to deploy purpose-built generative AI agents for legal workflows. AI Agent Studio's website says this allows legal teams to reduce manual effort and streamline work processes across legal and operational tasks.

AI Agent Studio's website lists integrations with NetDocuments, iManage, Microsoft SharePoint, Microsoft 365, Salesforce and SAP, plus API access. It is described as integrating directly with existing legal and operational systems, and as working alongside Onit's workflow automation, reporting and data management tools.

The product is listed as cloud deployed. AI Agent Studio's website describes it as embedded into the Unity Platform and integrated into existing operations. Onit states it does this without replacing existing systems or disrupting established processes, and users interact with agents through a chat-style interface.

The Spend Agent reviews invoices, identifies billing discrepancies, enforces billing guidelines and supports legal spend management. Other agents assist with contract analysis, matter data review and document summarisation. Agents handle focused, multi-step tasks through natural language interaction.

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