Opt in. Pool de-identified outcomes. Get a sharper benchmark than any single book of business can build alone. BETA
An opt-in program where participating carriers and firms contribute de-identified, aggregated closed-case data to build stronger shared benchmarks. Your data stays yours: nothing is shared until it's de-identified and aggregated, participation is never the default, and every exchange is governed by contract.
Nothing leaves your organization until it's de-identified and aggregated.
When a firm or carrier opts in, its own closed-case history is reduced to structured, de-identified variables inside its own boundary first. Only after de-identification and aggregation across contributing organizations does anything become part of the shared benchmark. No claimant, provider, or case identifier ever crosses that line.
A benchmark no single book of business can build alone.
One organization's closed cases only go so far toward a reliable benchmark. Pooled, de-identified patterns from multiple opted-in participants support tighter, more defensible ranges, without ever showing you another organization's identifiable case. This sits alongside, not instead of, Case Outcome Benchmarks, which reads comparable resolved cases already cited to your own record.
See Cross-Case Pattern IntelligenceOpt-in, de-identified, aggregated, and never another organization's case.
No organization's data is ever included by default. Participation requires an affirmative opt-in under contract, and it can be withdrawn. Every contribution is de-identified and aggregated before it has any visibility beyond the organization that contributed it.
The network is built so that no participant, including Medrecords AI's own staff outside the aggregation process, can trace a shared pattern back to another organization's identifiable case, claimant, or provider. What comes back to you is an aggregate benchmark, never someone else's file.
From opt-in to shared benchmark.
Three steps, and your organization decides whether to take the first one.
Your organization affirmatively enrolls. No one is added by default.
Closed-case data is de-identified and pooled with other participants before it's visible to anyone.
You see the pooled pattern, never another organization's identifiable case.
Who opts in.
Organizations that close enough cases to have real patterns worth pooling, on their own terms.
Sharper duration and value ranges than one book of business supports alone.
For carriersPool de-identified claim outcomes across clients without exposing any one of them.
For TPAsBenchmark settlement ranges against pooled, de-identified outcomes, not just your own file history.
For law firmsPrivate Benchmark Network, answered.
It's an opt-in program where participating carriers and firms contribute de-identified, aggregated data from their own closed cases to build shared benchmarks that are sharper than any single organization's book of business could support alone. Your raw case data never leaves your organization; only de-identified, aggregated patterns are pooled.
No. Participation is opt-in only, there is no default enrollment, and you can decline or withdraw at any time. Nothing from your case history is pooled into the network unless your organization has affirmatively opted in under contract.
Only de-identified, aggregated patterns, never an identifiable case, claimant, provider, or another organization's raw records. De-identification and aggregation happen before anything becomes visible outside the contributing organization, and the network never exposes another participant's identifiable data back to you.
Cross-Case Pattern Intelligence improves your own product experience using only your own organization's case history, nothing is shared with anyone else. The Private Benchmark Network is the opposite direction: it pools de-identified, aggregated data across multiple opted-in organizations to build a shared benchmark none of them could build alone.
Yes, in beta. The Private Benchmark Network is live and testable now, opt-in, contract-governed, and we're refining the aggregation model hands-on with the first participating organizations. If your use case is a good fit, we'll work with you directly on enrollment.
See what a shared, de-identified benchmark could look like for your book.
Join the beta on your terms: opt-in, contract-governed, and never a default. Handled under our BAA; never used to train a model.