Streamline Your Law Firm
with AI Agents

Custom AI agents tailored to your practice. Solve a single bottleneck or optimize an entire process depending on your firm’s needs.

Our Process

1)

Operations Assessment

We conduct a structured audit of your firm or team across workflows, current systems, and internal data. The goal is to identify where AI can reduce overhead, increase efficiency, and replace manual tasks.

2)

Workflow Mapping & Agent Design

We design and build an agent system around the way the work is done today, integrating with current tools, data, and decision making.

3)

Production Deployment

Launch and connect with internal systems so you can start improving operations immediately. We integrate with your current technology stack and deploy inside your server system.

4)

Refinement & Expansion

After deployment, we monitor how the system performs, resolve issues and edge cases, then determine if any other operations can be improved.

Agents

Examples of agents that can be deployed to improve operations.

Document Intelligence

Agents handle document review, classification, summarization, and extraction across transactions and disputes. Replace hours of associate and vendor time with a system that processes documents continuously and consistently.

Litigation Operations

Agents manage the operational workload behind active matters drafting first-pass work product, organizing exhibits, verifying citations, and coordinating case materials across systems. Keep litigators focused on strategy, not assembly.

Transaction Execution

Agents support deal workflows end-to-end from diligence tracking, document comparison, checklist management, to draft generation. Reduce coordination overhead and accelerate deal timelines without increasing headcount.

Records & Case Preparation

Agents collect, organize, and structure records into usable timelines and chronologies. What used to require manual coordination across paralegals, vendors, and email threads runs inside a single system.

Billing & Revenue Operations

Agents capture time across calendars, email, and documents, generate billing narratives aligned to client requirements, and flag issues before pre-bill. Improve realization rates and reduce administrative drag.

Knowledge Management

Agents index prior work product, surface relevant precedents, and maintain internal knowledge systems automatically. Institutional knowledge becomes immediately accessible instead of buried.

Client Intake & Communication

Agents handle intake workflows, initial information gathering, and ongoing client communication routing. Ensure consistent, responsive engagement without increasing staff load.

Compliance & Risk

Agents monitor deadlines, track obligations, assemble audit trails, and flag deviations from internal or regulatory requirements to stay compliant without manual oversight.

Contact Us

Explore what AI agents could look like inside your firm. Schedule a conversation with our team to identify the operational workflows where agents can deliver immediate impact.

FAQ

How long does deployment take?

Typically 4 to 12 weeks depending on complexity, approvals, and the systems involved.

What work can agents perform?

Document review, summarization, drafting support, workflow coordination, intake, billing support, deadline tracking, and related operational tasks.

Will it work with our current systems?

Yes. Virgil Agents integrates with existing tools and data sources through APIs, automation layers, and secure connectors.

What is required to work together?

Once we understand the problem and the environment, we handle design, build, deployment, and the feedback loop with your team.

How is data handled?

The system operates within your security policies, does not train public models on your data, and keeps actions fully auditable.

Can agents be customized?

Yes. Every deployment is tailored to the firm, practice group, workflows, approvals, and compliance requirements involved.

How does pricing work?

Pricing is based on operational complexity, integration scope, and data needs after an initial assessment.