Oktopeak

[ ENTERPRISE SEARCH FOR LEGAL & HEALTHCARE ]

Enterprise search built for regulated industries — that you own

Compliance-ready document search for law firms and healthcare teams. Sub-100ms queries across 1M+ documents, privilege-safe and HIPAA-ready, self-hosted or under your own BAA with Zero Data Retention. A one-time build you own, not another per-seat subscription.

30-minute call. We'll review your search and compliance requirements.

100ms

queries on 1M+ documents

$251K

3-yr cost of the DMS you'd replace

6–10 wk

to production

⚡ 100ms on 1M+ Documents✓ Privilege-Safe Architecture★ HIPAA-Ready, BAA Signed■ Self-Hosted Option⊕ Training Disabled + ZDR⚡ 100ms on 1M+ Documents✓ Privilege-Safe Architecture★ HIPAA-Ready, BAA Signed■ Self-Hosted Option⊕ Training Disabled + ZDR

"Our legal team was spending hours searching through documents. Now queries return results in 100ms even with over 1 million documents. That's $224K+ recovered per year in search time alone."

[ THE PROBLEM ]

Search in regulated firms fails three ways

Speed, compliance, and cost. Legacy document platforms miss at least one. Usually all three.

01

The system can't find the document

Deep folder structures, restricted files returning "not found" instead of "restricted", and 8-second queries. Attorneys and clinicians know the document exists and the system can't surface it.

02

Compliance is bolted on, not built in

Pasting privileged or patient data into a public AI tool voids privilege and breaches HIPAA, even with a training opt-out. Most search lacks the access controls and audit trails a regulator expects.

03

You rent it forever

Per-seat document platforms charge for every hire, every year. A 17-person firm reached a $251K 3-year total cost of ownership, with a forced implementation consultant on top.

[ WHAT WE BUILD ]

The search layer, and the compliance around it

Built on Elasticsearch and the ELK stack. Tuned for the precision and the audit requirements regulated work demands.

Precision search

Exact-match where it matters, semantic where it helps. Litigators get the precise phrase; researchers get the related concept.

  • Exact Boolean precision, not lazy semantic-only
  • Domain synonyms (contract → agreement)
  • Fuzzy matching for typos and OCR errors
  • Clause and entity extraction
  • Autocomplete with relevance ranking

Compliance built in

The controls a regulator and a malpractice carrier expect, designed into the architecture rather than added later.

  • Role-based access that respects ethical walls
  • Encrypted indices at rest and in transit
  • Immutable audit logging of every access
  • Self-hosted option: data stays on your servers
  • AI layer under your BAA, training disabled + ZDR

Performance at scale

Architected for millions of documents, with sub-100ms queries that hold up under load.

  • Index mapping and shard strategy
  • Index lifecycle management
  • PDF parsing and structured extraction
  • Kibana dashboards and monitoring
  • AWS or fully self-hosted deployment

[ ENGAGEMENT OPTIONS ]

Three ways we can help

A one-time build you own, for a fraction of the lifetime cost of a per-seat subscription. We scope it free and quote a fixed price before you commit.

01

Compliant Search Build

Full build in 6–10 weeks

  • Architecture and compliance workshop
  • Index mapping, analyzers, synonyms
  • Document and PDF ingestion pipeline
  • Role-based access and audit logging
  • Self-hosted or your-cloud deployment
  • You own the source code outright
Scope your build →
Quick Wins

02

Relevance & Compliance Tune

Fix an existing cluster in 2–4 weeks

  • Free architecture review
  • Query and relevance audit
  • Mapping and performance fixes
  • Access-control and audit hardening
  • Implementation of the fixes
Get a review →

03

Migration & Rescue

Move off legacy DMS search

  • Audit of current search and data
  • Migration off iManage / NetDocuments search
  • Zero-downtime cutover plan
  • OpenSearch and Elasticsearch migrations
  • Rescue of failing implementations
Get a rescue plan →

For context: replacing a per-seat document platform that runs ~$251K over three years for a 17-person firm. Custom builds start at $17,000, most land between $17K and $53K. The number that should worry you is the one you pay every year, not once.

[ WHERE WE SPECIALIZE ]

Two verticals, two compliance regimes

The same search engine. Different rules for what may touch the data.

[ RESOURCES ]

Deep dives from our search practice

Technical guides based on real implementations, not textbook theory.

[ FAQ ]

Common questions about regulated enterprise search

Regulated enterprise search is document and knowledge search built to meet the compliance rules of an industry, such as attorney-client privilege for law firms or HIPAA for healthcare. It combines fast retrieval across large document sets with access controls, audit logging, encryption, and data-handling guarantees.

The search layer can run self-hosted on your own infrastructure, and any AI layer runs under your own Business Associate Agreement with model training disabled and Zero Data Retention.

Generic Elasticsearch consultants optimize clusters for speed and cost across any industry. We build the same performance for legal and healthcare, and add the compliance layer those industries require: role-based access that respects ethical walls, immutable audit trails, encrypted indices, and an architecture where privileged or protected health information is never exposed to a model that trains on it.

Yes. The search and index layer can be deployed self-hosted on your own infrastructure, so your documents never leave your servers for retrieval.

If you add an AI generation layer on top, matter content does go to the model provider for inference. We configure that under your own BAA with model training disabled and Zero Data Retention, which is the defensible posture for privileged and protected data.

We have built search returning results in under 100 milliseconds across 1M+ documents, down from 8 seconds on the legacy system it replaced. The architecture scales with proper sharding and index lifecycle management, so performance holds as your document set grows.

Legacy document management platforms charge recurring per-seat fees. For a 17-person firm, a 3-year total cost of ownership reached roughly $251,000, and every new hire adds cost.

A custom search system is a one-time build you own outright, with no per-seat fees as your team grows. One client recovered around $224,000 a year in billable time previously lost to slow search.

Most builds ship in 6 to 10 weeks. Custom search builds start at $17,000, with most legal and healthcare projects landing between $17,000 and $53,000 depending on integrations, compliance surface, and data volume. We scope it for free and give you a fixed quote before you commit.

Yes. We sign BAAs for healthcare engagements and build to the HIPAA Security Rule from day one: encryption, role-based access controls, multi-factor authentication, and automated audit logging that records every access and change to protected health information.

Still have questions?

Talk with a friendly expert

[ GET STARTED ]

Ready to own your search?

Book a 30-minute review. We'll look at your current search, your compliance requirements, and what it would take to replace the per-seat tool you're renting, whether you hire us or not.

Talk with a friendly expert