AI eDiscovery Review Accelerator
We layer retrieval and classification over your review platform so reviewers see the likely-relevant documents first, with privilege and PII candidates flagged and every call logged for defensibility.
Scope of the build
Fixed scope, fixed timeline, 100% U.S.-based senior engineers on Eastern-time hours.
- Document ingestion and de-duplication
- Model-assisted relevance ranking
- Privilege and PII candidate flagging
- Reviewer console with keyboard-first workflow
- Sampling and QC dashboards
- Defensibility log of model versions and decisions
- Export to review platform or production set
What you get
Less review spend
Reviewers spend hours where the responsive documents actually are.
Privilege caught early
Candidates surfaced before production, not after.
Defensible process
Sampling, QC, and model lineage documented.
Where this fits
- → Litigation review
- → Internal investigations
- → Regulatory response
- → Contract discovery
From signature to production
The same delivery rhythm on every engagement. You always know what shipped last week and what ships next.
- Week 0
Scope lock
Two working sessions with your team. We write the spec, the acceptance criteria, and the integration list, then fix the price against it.
- Weeks 1-2
Spine first
Data model, auth, environments, CI, and the riskiest integration go in before any screen is polished. You see it running in staging.
- Mid-build
Weekly demo
Working software every Friday, on your staging environment. Scope changes get priced in the same call, never discovered at the end.
- Go-live
Handover that holds
Runbooks, monitoring, test suite, and a recorded walkthrough for your engineers. You own the repo and the accounts from day one.
Before you book a call
Straight answers on price, timeline, ownership, and who writes the code. If your question is not here, ask it on the call — we answer it the same way.
Scope ai ediscovery review accelerator →What does ai ediscovery review accelerator cost?
From $55,000. The price is fixed against a written scope after a two-session discovery, so the number you approve is the number you pay. Typical delivery runs 6–10 weeks.
How long does it take to go live?
6–10 weeks from scope lock to production for the scope listed on this page. You see working software in your staging environment every week, starting in week two.
What does it integrate with?
Out of the box we wire Relativity, Azure OpenAI, S3, Elasticsearch and Postgres. Anything with an API or a file drop can be added during scope lock.
Who actually builds it?
Senior U.S.-based engineers on Eastern-time hours. No offshore handoff, no rotating junior bench. The people on your kickoff call are the people writing the code.
Do we own the code?
Yes. Your repo, your cloud accounts, your data — from the first commit. We hand over runbooks, tests, monitoring, and a recorded walkthrough so your team can take it forward without us.
Can this start smaller than the full scope?
Usually. We can carve a first slice that proves the hardest part of ai ediscovery review accelerator in a few weeks, then sequence the rest once it is running in production.
Related case studies
- Perreign AI Hippa Compliance Platform Case StudyPerreign AI is a regulatory technology company dedicated to modernizing compliance workflows. Its leadership identified that healthcare organizations.
- AI-Powered FOIA Data Extraction for Academic Anal Case StudyA PhD candidate from a University based in Chicago required a robust data pipeline to support research involving over 25,000 pages of FOIA-obtained.
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Start your project request
Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.
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