Legal — Personal Injury
You know what your cases are worth.
That intelligence shouldn't live on someone else's cloud.
Personal injury firms accumulate intelligence that goes well beyond any individual client's medical records. Your settlement history reveals what carriers actually pay versus what they offer. Your demand letter templates encode years of refinement. Your case evaluation frameworks — which injuries, which jurisdictions, which adjusters — represent institutional knowledge that directly affects outcomes. When this data flows through a public AI API, you're exposing your playbook to infrastructure shared by defense firms, insurance companies, and their vendors.
Then there's the client data itself: medical records, psychological evaluations, employment and wage histories, accident scene photos, witness statements. Your clients are already vulnerable — they shouldn't have to wonder where their health information ends up when your firm uses AI to review it.
Your case management and intake tools are already adding AI.
Filevine, CASEpeer, SmartAdvocate, Litify, and broader platforms like Clio are integrating AI into case management, medical record organization, and intake workflows. These tools handle core operations well. What they don't do: give your attorneys a private AI capability that can reason across your firm's entire settlement history, demand letter archive, and case evaluation intelligence — without routing that data through a third-party cloud. We build what fits in the gaps around your existing stack, and connect the pieces your platforms don't bridge.
The Case
Why in-house AI matters for a personal injury practice.
Predictable costs
PI firms process massive volumes of medical records, accident reports, and expert opinions per case. Per-document or per-query AI pricing turns your biggest cases into your most expensive AI bills. Private infrastructure is a fixed cost — process everything you need without usage meters.
Model stability
Medical record summaries, liability assessments, and damage calculations need to be consistent across the life of a case. A model that changes between demand letter and trial preparation introduces risk. Private models stay stable until you decide to upgrade.
Data portability
Medical records, accident reconstructions, settlement strategies, and lien positions are both confidential and competitively valuable. On private infrastructure, they stay under your control — not sitting in a vendor's cloud alongside data from the firms on the other side of your cases.
Upgrade path
PI firms that automate medical record review and demand preparation will take on more cases and resolve them faster. Private infrastructure lets you adopt better models as they emerge — without vendor lock-in or renegotiating contracts.
Capabilities
What we build for personal injury firms.
Medical record analysis
Private processing of medical records, billing statements, and treatment timelines. Extract diagnoses, procedures, and causation narratives. Flag gaps in treatment, pre-existing conditions, and inconsistencies — without any protected health information leaving your network.
Case valuation knowledge base
A private RAG system over your firm's settlement history, verdict research, and demand letter templates. Query past outcomes by injury type, jurisdiction, and insurance carrier to inform case valuation — grounded in your firm's actual results.
Demand letter and brief preparation
AI-assisted drafting of demand letters, mediation briefs, and trial documents — grounded in case facts, medical evidence, and your firm's templates. All processing stays local, so case strategy and settlement positioning remain confidential.
Lien tracking and resolution
Track medical liens, Medicare/Medi-Cal interests, and subrogation claims across your caseload. Summarize lien positions, calculate net recoveries, and flag resolution deadlines — all on your infrastructure.
Every PI firm runs differently.
Case types, referral sources, team size, and your existing tech stack all shape what makes sense. We start with a conversation about how your firm actually operates — not a generic product demo.