Vertical AI
Legal-specific
Harvey
Legora
Virgil builds custom agents for document-heavy, deadline-driven legal workflows. From drafting support and precedent retrieval to transcript search, intake, and matter operations, we help firms remove repetitive work while keeping attorneys in control.
Virgil sits between in-house teams and legacy vendors, vertical AI and horizontal AI, delivering AI automation tailored to how your firm works.
Legal-specific
Harvey
Legora
Internal teams
Library
Internal IT
Paralegal research
Off-the-shelf
Westlaw
LexisNexis
Bloomberg Law
General-purpose
ChatGPT
Claude
Virgil Agents
Workflow fit of an in-house build, expertise of a vendor.
We focus on workflows where legal teams lose time to manual retrieval, assembly, and coordination.
1)
We map the legal workflow, the systems involved, and the points where work slows down. The goal is to identify where agents can remove repetitive effort without disrupting how attorneys already work.
2)
We design the agent around your actual process, approvals, and source materials so it fits the matter workflow instead of forcing your team into a new one.
3)
We deploy into your environment, connect to the relevant systems, and make the workflow usable in practice with clear review points and auditability.
4)
After launch, we refine edge cases, improve output quality, and expand into adjacent workflows once the first use case is delivering value.
Examples of agents that can be deployed to improve operations.
1)
Speed up first day motion prep by pulling utility, vendor, and insurance data from comparable chapter 11 filings that paralegals spend hours assembling today.
2)
Surface a judge's prior rulings on similar issues from federal court transcripts immediately, replacing the dozens of associate hours that go into transcript review today.
3)
Identify target companies in real time, so your firm can reach the right person at the right time without spending non-billable hours on sourcing new opportunities.
4)
Generate time entries and billing descriptions from email, calendar, and documents, recovering the non-billable hours lost to manual entry.
5)
Pull and structure data from sources like PACER, UCC filings, property tax records, or state-level lien searches, replacing slow vendor pulls and hours of paralegal research.
6)
Track document updates like signature pages across counterparties at a closing and assemble final execution copies, solving for any last-minute scrambles.
7)
Surface prior art and comparable patents from public databases, replacing the needle-in-the-haystack searches that consume associate hours in patent litigation.
Most Virgil agents work with public data sources or sit on top of vendors, rather than touching confidential case matter. Deployments can typically move in weeks rather than lengthy security and compliance reviews that client data requires.
When an engagement does require working inside internal systems, we operate within the firm's existing security controls and meet whatever compliance requirements the work calls for.
Explore what an agent deployment could look like inside your firm. We will help identify the workflows where faster retrieval, drafting, and coordination can create immediate value.
Most deployments take 4 to 12 weeks depending on workflow complexity, approvals, and the systems involved.
Agents can support retrieval, classification, summarization, drafting, workflow coordination, intake, billing support, deadline tracking, and other document-heavy operational work.
Yes. Virgil Agents integrates with existing tools and data sources through APIs, automation layers, and secure connectors designed around your environment.
Once we understand the workflow and environment, we handle design, build, deployment, and iteration with your team.
The system operates within your security policies, does not train public models on your data, and keeps outputs and actions auditable.
Yes. Every deployment is tailored to the firm, practice group, workflow, approval structure, and compliance requirements involved.
Pricing is based on operational complexity, integration scope, and data needs after an initial assessment.