Approved-knowledge grounding
Agents answer only from the firm's own approved language and written criteria.
For record retrieval and litigation support operations, plaintiff firms running an intake desk, and mass tort campaigns holding an inventory. Orvera builds, deploys and runs the agents across voice, chat and email, plus the assist and audit layer behind your own people.
Orvera AI scores every conversation against the firm's own scorecard, human-handled and AI-handled alike, and returns exceptions with the transcript attached. A quality program on a sample estimates an exposure rate rather than clearing a conversation. A solicitation breach, an advice-boundary breach, a consent defect and a recording made without the required disclosure are each a per-conversation event with per-conversation exposure.
A quality program on a sample
Orvera
Orvera AI handles four medical and legal record retrieval use cases: custodian first contact and the requirements interview, the status chase inside the statutory clock, authorization clarification and rejection recovery, and the custodian friction map. The chase cadence runs against every open order rather than against a coordinator's capacity, and every result is written back to the order platform.
A request passes 7, 14, 21 and 28 days with no response. Orvera runs the full chase cadence against every open order, reaches the custodian, establishes actual status, records the commitment date, and writes it back to the order platform.
Accepted form, submission route, fee, turnaround.
Captured on the call, not reconstructed from order notes later.
A new order opens against a records desk your floor has never worked. Portals and electronic exchange reach part of the book. The rest is a phone call, and Orvera places it, runs the requirements interview, and writes the custodian profile.
The custodian rejects the authorization for a defect and the clock restarts. Orvera calls on the rejection, establishes precisely what conforms in that custodian's own words, and updates the profile so the same defect does not recur there.
A maintained profile, not a coordinator's memory
Form, route, fee, turnaround, rejection reasons, escalation contact.
Which custodians reject, why, and what they actually require lives in individual coordinators' heads today. Orvera mines every custodian conversation into a maintained profile: accepted form, submission route, fee, observed turnaround, ranked rejection reasons, named escalation contact.
Orvera AI handles two firm-side use cases: a live advice-boundary guardrail on the intake conversation a firm is supervised on, and the missing-information chase that recovers a claimant acquisition cost already fully spent. Orvera captures facts, applies the firm's own written criteria, screens for conflicts and books the consultation. Orvera never evaluates a matter and never answers a legal question.
“Do you think I have a case?”
The firm's own approved language, surfaced before the specialist answers
“Do you think I have a case?”
The firm's own approved language, surfaced before the specialist answers
A caller asks whether they have a case. Orvera surfaces the firm's own approved language on the specialist's screen before they answer, flags the escalation cue, and logs the intervention to the record.
A lead clears every criterion except one and parks in the pending bucket. Orvera calls the claimant, names the single missing element, helps them locate it, completes the qualification, and moves the record to retainer.
Orvera AI's legal and record retrieval calls are nine real recorded conversations from three operations: a plaintiff firm's intake desk, a record retrieval floor, and a mass tort campaign. Each is a custodian, client or claimant call worked to a finish on the case management and retrieval systems the operation already runs, and each one is transcribed, summarized and scored the same way.
Inbound intake on a new matter. Structured fact capture, conflict and criteria screening, and a booked attorney consultation.
The callback after an inbound call abandons. The caller initiated contact, so the return call is a response.
Confirming a booked attorney consultation, and rebooking on the spot where the person cannot make the time.
First call to a records custodian. What form they accept, where it goes, the fee, the turnaround.
The custodian rejected the authorization. This is the call that establishes precisely what conforms, before the clock restarts.
The chase call on an open request. Actual status, the reason for delay, and a committed date.
Qualifying a campaign response against the published case criteria. Product, exposure window, diagnosis, treatment dates, jurisdiction.
One criterion is outstanding. This is the call that names the missing element and helps the claimant find it.
The unsigned retainer call. Confirming receipt, walking the claimant to signature, and clearing the practical obstacle.
Orvera AI connects to the case management or order platform a retrieval or litigation support operation already runs, plus its telephony and ticketing. Orvera does the build, the deployment and the integration on that existing system. Agents reach production through a structured lifecycle aligned to real contact center environments, not a switch you flip and hope.
Your case criteria, approved intake language, custodian profiles and past interactions are turned into structured workflows the agent follows.
Workflows are tested across real scenarios for accuracy, escalation handling and compliance before a single live call.
Agents go live through a defined process, monitored and connected to your case management or order platform, telephony and ticketing.
Live performance feeds back into the workflows, sharpening resolution and compliance week over week.
Orvera AI lands full production deployment in 3 to 6 weeks, from the operation's own case criteria and custodian profiles to live agents. The case criteria and the firm's approved language are mapped into executable logic, then tested and validated across scenarios before go-live. Orvera does the build, the deployment and the integration on the existing system.
to full production deployment.
Timelines depend on workflow complexity and enterprise requirements.
Orvera AI captures facts, applies the firm's own written criteria, screens for conflicts and books the consultation. Orvera never evaluates a matter and never answers a legal question. Agents answer only from the firm's own approved language, every conversation is scored across every channel, and each exception is returned with the transcript behind it.
Agents answer only from the firm's own approved language and written criteria.
Facts, criteria, conflicts and booking. Never a matter evaluation or a legal answer.
Every conversation scored, with the transcript behind each exception.
Permissions, guardrails and policy, configured per channel and use case.
A retrieval, litigation support or intake operation starts with the queue that is costing it the most, the custodian chase, the after-hours intake or the pending bucket, and Orvera AI scopes that queue against the operation's own numbers. Full enterprise deployment lands in 3 to 6 weeks.