Three things decide a review: speed, accuracy, and who else can see the file.
We built MeritsAI after too many nights spent reading someone else's documents on a deadline. It is the tool we wanted.
Merits Within Minutes
Upload a production and MeritsAI extracts the facts, actors, and dates that build your theory of the case — with a citation to the source page for every one.
Speed and Efficiency
Search, tag, redact, and produce in one place. Batch review, Bates numbering, and load files are built in — not a separate vendor and a two-week turnaround.
Client Confidentiality
Every client is provisioned its own separate database. Not a shared table with a tenant column — a physically separate store, so one matter can never surface in another.
Traditional eDiscovery was priced for the delay.
Vendor intake, contract reviewers, and a queue you do not control. MeritsAI collapses that into a workflow your own team runs.
See how the workflow runsOne workspace from collection to production.
Document Search
Advanced query builder across metadata, review status, and content.
AI Facts
Extracted facts with accept, reject, and needs-review workflow.
Case Chatbot
Ask the record a question, get an answer with document citations.
Production Tools
Bates numbering, redaction, tag filters, and export formats.
Tell us about your matter. We will tell you what it costs.
Pricing depends on volume, seats, and how much AI your team wants. Send us the shape of your caseload and we will come back within one business day.
Every stage of discovery, in one authenticated workspace.
Ingest, search, review, redact, extract, and produce. Your team runs the matter end to end — no vendor queue between you and the record.
Upload the production. Start reading the same day.
Load native files, PDFs, and vendor load files directly into the case. Custodians, storage, and upload volume are tracked on the case overview from the first file.
- Native, PDF, and load-file ingestion
- Custodian and volume tracking
- Review batches assigned per reviewer
Narrow a million pages to the fifty that matter.
The advanced query builder combines logical, document, review, smart, and metadata groups. Results open straight into the reviewer with page navigation, a tag sidebar, and a redaction canvas.
- Saved searches and smart groups
- Privilege and issue tagging
- On-page redaction with audit trail
Facts, people, and a chatbot that cites the record.
AI Facts pulls dated events and actors out of the corpus into an accept, reject, or needs-review queue. The case chatbot answers in plain language and links every claim back to the document it came from.
- Fact extraction with source citation
- People and relationship views
- Brief drafting and court simulation
Produce on your own schedule.
A step-by-step wizard builds the set: Bates range, burned redactions, tag filters, and the export format opposing counsel asked for. No ticket, no vendor turnaround.
- Bates numbering and endorsements
- Burned redactions and privilege logs
- Standard load-file export formats
Want to see it against your own documents?
Request PricingThe record looks different in every practice.
Same platform, tuned tagging and extraction for the documents your matters actually turn on.
Contract Law
Pull obligations, dates, amendments, and notice provisions out of an executed set. Compare drafts against the final and see who changed what, and when.
Criminal Law
Work through disclosure at the pace of the docket. Build a chronology from reports, statements, and messages, and flag what the prosecution has not produced.
Employment Law
Custodian-heavy email and chat collections, handled. Trace a complaint through HR files, performance records, and the message threads around the decision.
Intellectual Property
Technical documents, lab notebooks, and prosecution history in one searchable corpus — with conception and reduction-to-practice dates surfaced as facts.
Privilege is not a feature flag.
You are holding someone else's confidences. So are we. Here is how the platform is built to keep them separate, encrypted, and accounted for.
One client, one database.
Most SaaS platforms put every customer in the same tables and separate them with an account ID. We do not. Each client is provisioned a dedicated database with its own credentials and its own backups. Cross-matter leakage is not something we filter for — it is structurally unavailable.
Encryption
Data encrypted in transit over TLS and at rest in storage. Credentials and keys are held outside the application layer.
Access Control
Role-aware permissions per firm, per case, and per review batch. Administrators grant and revoke case access directly.
Audit Trail
Every view, tag, redaction, and export is logged. Audit reports and security reviews are available to firm administrators.
AI Data Handling
Case content is processed for your matter only. Client documents are never used to train shared models.
Internal Practice
Least-privilege staff access, mandatory MFA, hardened deployment pipeline, and monitored infrastructure.
Continuity
Per-client backups with defined retention, and a documented restore path that does not touch another client's store.
Running a vendor security review? We will complete your questionnaire and walk your IT team through the architecture.
Contact UsPriced to your caseload, quoted in writing.
Tell us your matter volume, seat count, and how much AI your team wants. We will send a written quote within one business day.
What happens after you send this
Written quote in one business day
A named person replies with a scoped quote — no auto-responder, no drip sequence.
Walkthrough on your schedule
Thirty minutes with the product, using a matter shaped like yours. Book straight into our calendar.
Security review, if you need one
We complete your questionnaire and brief your IT team on the data segregation model.
Pilot on a live matter
Your database is provisioned, your team is onboarded, and you run a real production through it.
Every plan includes
- A dedicated, isolated database
- Unlimited review batches and saved searches
- Search, tagging, redaction, and production tools
- Onboarding and support from practicing lawyers
Request received
A member of our team will reply with a written quote within one business day.
Send another requestBy lawyers and paralegals, for lawyers and paralegals.
Founded in 2024 by people who had done the review themselves — and were tired of paying a vendor to do it slowly.
We built the tool we wanted at 2 a.m.
Discovery is where most matters are actually won, and it is also where most of the billable hours disappear. The software available to us was built by engineers who had never sat in a document review room, priced by vendors who benefited from the delay.
MeritsAI started in 2024 as an answer to that. Every workflow in the product — review batches, privilege tagging, Bates ranges, the fact queue — exists because someone on our team needed it on a real deadline.
We use legal vocabulary without a glossary because we assume you are an expert. We isolate your data because we know what is in it.
Practitioners first
Product decisions are made with attorneys and paralegals in the room, not relayed through a roadmap.
Confidentiality as architecture
Separate databases per client, because a promise is not a control.
AI that shows its work
Every extracted fact and chatbot answer carries a citation back to the document. You verify, you decide.