COMPARISON

How Kendraa differs from
Relativity and Intella.

The same evidence, review-ready in days instead of weeks — because the person who knows the matter runs it, with no operator queue in between.

Side by side

Evidence in → review-ready
Weeks: intake queue, operator, processing, ECA, workspace set-upMinutes. Upload, describe the matter, review.weeks → minutes
Budget that reaches the review
16% — the rest is hosting, infrastructure and set-up85% on the actual investigation.
Who runs it
Certified operators, specialists, a service deskThe person who knows the matter. Plain English, no query syntax.your team
Workspaces per matter
Two — ECA and review, licensed and hosted separatelyOne, priced below the ECA workspace alone.2 → 1, half the bill
Commitment
Annual minimums, paid whether used or notPay per matter. Scale to zero in between.no floor
Chat evidence
Converted to PDFs or a bolt-on viewer, one document per dayWhole conversations, every chat in one rail, deletions with provenance.read it like a chat
Where the data lives
A vendor-operated store, often outside IndiaYour own AWS account in India. AI inference in Mumbai.yours

What each platform is for

Relativity
The incumbent review platform for large-scale US-style litigation, run through operators and partners.
Intella
A forensic examiner’s desktop tool, built around the examiner rather than the review team.
Kendraa
The one you reach for when a matter is Indian, chat-heavy, and has to start this week — run by your own team, not a service desk.

Five things that are different

Days, not weeks

No operator queue, no ECA-to-review hand-off, no onboarding cycle. Evidence in, review-ready in minutes; findings in days.

Runs in your own AWS account

Evidence stored and processed in your tenancy — never copied into a vendor-operated multi-tenant store.

The AI runs in India

Models run in AWS Mumbai (ap-south-1), inside that same environment. Document text does not cross a border — DPDP-aligned by design, with residency, least-privilege access and a per-matter audit trail. Data residency & DPDP.

Chat evidence is first-class

WhatsApp from phone extractions (Cellebrite UFDR, iPhone) as conversations, with three-state deleted-message provenance. How we handle it.

Simple enough to run yourself

Describe the matter in plain English; the Copilot drafts the search terms and you edit every one before it runs. Reviewers are productive on day one.

How we check ourselves

We run Kendraa against the public Enron corpus and compare our funnel with an established platform’s. The method is on the benchmarks page; ask us for the figures.

Where Kendraa fits

Indian matters
Residency and deployment control are part of the brief.
Chat-heavy investigations
WhatsApp and handset extractions, mixed with email and documents.
Internal investigations and arbitration
A small team that needs to move now.
A deliberate second tool
For the matters your primary platform makes slow or expensive.

Not sure it fits? Describe the matter to us. See also the security posture.