Introducing Eve 2.0: The Proactive AI Workforce for Plaintiff Firms
Introducing Eve 2.0: The Proactive AI Workforce for Plaintiff firms
Introducing Eve 2.0: The Proactive AI Workforce for Plaintiff Firms
See Agents
See Auditor
Every day, documents arrive in your cases and tasks arise, but often, things just sit around unless the right person notices. In a high-volume plaintiff practice, those delays cost you. AI agents for law firms are changing how plaintiff practices handle this problem.
Think of your best paralegal or team members: the ones who know your cases, your work process, and what to do the moment something lands in the file. An AI agent works the same way, monitoring every matter, around the clock, without going on vacation. You define what it's looking for and what it should do when it finds it.
An AI agent for law firms is software that acts when conditions you've defined are met, automatically, without manual prompting. A deposition transcript arrives; the agent summarizes it. The client call transcript is done; the agent queues up the demand letter. You come in the next morning and the work is done.
If you've used AI tools for legal research or drafting, you know how they work: you ask, they answer. The moment you stop prompting, they stop working.
An AI agent is a different category. Instead of waiting to be asked, it's proactive, kicking into action when something you've defined happens. A deposition transcript lands in a file; the agent produces a summary before anyone on your team has seen it. A client call wraps up; the agent queues the demand. You don't prompt it. You configure it once.
The mechanism is the trigger: the condition you define that tells the agent when to act. There are three types:
Event triggers fire when something specific happens in a matter: a new document arrives, a record type appears, a matter is created, a call comes in. Unlike simple rules-based law firm automation that checks a filename or a folder, an AI agent reads a document and understands what it is to act accordingly.
Scheduled triggers run on a defined cadence regardless of what's happened in any individual matter: weekly, monthly, on a specific date.
For example, attorney Tara King at Lapham Law Firm built a matter audit agent that runs at the start of every month. The agent checks every matter against the firm's detailed case-opening checklist, and surfaces what's complete and what still needs attention. Before the agent, that review was manual, inconsistent, and easy to let slip. Learn more about how firms are using AI Agents in this on-demand webinar.
On demand: Of course, you can always trigger an agent yourself, whenever you need it.
The categories below cover common starting points but what you can build is broad. Firms have configured agents for expert testimony analysis, plaintiff deposition prep, discovery planning, case timeline generation, missing medical record identification, slip-and-fall case evaluation, and witness list compilation, among others. If your team does a task repeatedly on a defined set of inputs, it can likely be an agent.
Drafting agents produce formal legal documents in your firm's own voice: demand letters, complaints, discovery requests. Trained on examples you provide, they learn your structure, your objection language, your tone. What comes out is a working draft calibrated to your style, ready to review and refine rather than rebuild from scratch.
At Laurel Employment Law, a high-volume plaintiff employment firm, Sr. Director of Legal Ops Cliff configured a drafting agent to monitor their caseload for uploaded client call transcripts. The demand drafting agent kicks in automatically. They doubled their demand letter output in the first week of using the AI agent.
Analysis agents summarize and review documents to come up with assets like briefs, prep docs, timelines, lists, summaries, and more.
At a PI firm, common applications include:
Josh Standerfer, trial paralegal at Thomas Law Offices, built a rolling case strategy update for use during trial. The agent starts with an initial analysis of the facts, defense theories, and discovery plan, then re-runs targeted checks every time new information hits the file. An expert report comes in, a key deposition is uploaded, a major document production arrives: each time, the agent flags what changed, why it matters, and what the firm should do next.
When interrogatories or document requests arrive, a discovery response agent detects them and drafts proposed responses in the firm's established style and objection framework, queued for attorney review rather than attorney construction from scratch. The same agent type works in the other direction: when a defendant produces a discovery response, the agent reviews it and flags deficiencies before anyone on the team has to comb through the production manually.
Communications agents use voice AI to handle every phone-based touchpoint across the case lifecycle: inbound calls at intake, outbound calls once a matter is open.
To handle intake, the agent can pick up every call, capture case facts, evaluate the lead against your firm's criteria, and in defined cases, transfer qualified prospects to a staff member with a real-time briefing — so the attorney already knows what they're walking into. Ghaffari Law Firm went from 20 percent of calls going to voicemail to zero, and converted three of five warm-transferred calls into signed clients within the first week.
Agents can also work in the other direction, handling outbound communication, including: opening claims with insurance carriers, following up on outstanding records requests, checking in with clients on treatment progress, and delivering case updates. The agent navigates hold queues so your team doesn't have to.
The thing that makes agents genuinely useful — they act without being prompted — is also the thing that makes attorneys pause. If software is monitoring your cases and producing work product on its own, the question is reasonable: who is responsible for what it produces, and what happens if something goes wrong?
The practical answer is straightforward. Nothing leaves your firm without an attorney approving it. Every agent produces output that enters a review queue, with every claim cited back to the source document so anything it produces can be verified with one click.
The professional responsibility framework points in the same direction. ABA Formal Opinion 512, issued in 2024, is the national baseline for how existing competence, confidentiality, and supervision obligations apply to AI tools. The attorney who configures and deploys an agent is responsible for its output — the same accountability that governs paralegal work product.
The California Supreme Court's 2025 letter to its bar committee signals that this standard is still being refined specifically for agents: a system acting autonomously on your behalf raises supervisory questions that passive AI tools don't, and bar authorities are actively working through them. Stay current with your state bar's evolving guidance and vet your vendor before deploying.
On confidentiality, ask directly: does our data train your models? Is each firm's data isolated? Is the platform HIPAA and SOC 2 certified? These have yes/no answers, and any credible legal AI vendor answers them immediately.
Agents handle predictable, repeatable work. They don't make strategy calls, exercise judgment on novel legal questions, or file anything without attorney authorization. The attorney's role shifts from executing the repetitive work to reviewing and directing it.
For plaintiff firms getting started with legal AI automation, the best first step is one task: the most repetitive, highest-volume thing someone has to remember to do. Demand letters and deposition summaries are common entry points at plaintiff firms. Both are high-frequency. Both follow a consistent structure. Both have clear trigger conditions. And both are easy to evaluate: compare what the agent produces against what the team would have produced, calibrate, and expand from there.
The bigger point here is that what's changing isn't just how fast these firms work — it's how much a single attorney or paralegal can carry. Laurel Employment Law doubled their demand output in the first week. Ghaffari Law went from missing a fifth of their intake calls to zero.
The firms building this infrastructure now aren't just becoming more efficient. They're multiplying capacity and building a different kind of practice.
Learn more about Eve Agents and talk through piloting agents at your firm with our team today.
