Legal data entry that a compliance officer would actually sign off on.

Why a data entry error in a legal file is not the same as a typo.

In most industries, a data entry mistake means a slightly wrong report. In legal work, it can mean a missed filing deadline, a misquoted settlement figure carried into a demand letter, or a discovery production that goes out incomplete because a document was mis-tagged. The cost of an error scales with what's at stake in the underlying matter — and in litigation, insurance claims, or M&A due diligence, that's rarely small.

This is why "data entry" in a legal context needs to be treated differently from data entry anywhere else. It's not just about typing speed — it's about an analyst who understands what a change-of-control clause is, why a deposition date matters, and what "privileged" means before they ever touch a document. It's about a QA process that catches the one wrong digit in a settlement amount before it reaches a partner's desk, not after.

We built this service around that distinction. Every analyst working on legal files has been trained specifically on legal document types — not repurposed from generic transcription work — and every record goes through independent double-entry verification before it's considered complete, precisely because the downside of getting it wrong here is categorically different from getting it wrong in, say, a retail inventory sheet.

How this fits into the rest of your tech stack.

Case management integration is the most common request, but it's rarely the only system involved. Billing systems (like TimeSolv or Bill4Time) often need matter data to stay in sync with case status; document management systems need consistent file naming to stay searchable; and e-signature platforms need accurate party and date fields pulled from the underlying agreement.

We won't claim to integrate with every tool in your stack, but we will ask about the adjacent systems during scoping — a contract tracker that doesn't match your billing system's matter numbers creates exactly the kind of reconciliation work outsourcing was supposed to eliminate.

A concrete example of what this catches in practice.

Analyst A enters a settlement figure from a scanned demand letter as $45,000. Analyst B, working independently from the same document, enters it as $48,000 — the scanned figure is slightly smudged, and the two readings genuinely differ.

The automated diff flags this record as a mismatch before either version is accepted. A senior reviewer pulls the original document, examines the smudged figure directly, and confirms the correct amount against context elsewhere in the letter — in this case, $48,000, matching a total referenced in an earlier paragraph.

Single-entry data processing would have delivered whichever figure the one analyst happened to read — a 6% error in a legal document that could have propagated into a client communication or filing. This is the specific, concrete failure mode double-entry verification is designed to catch.

How integration actually works, platform by platform.

Clio & MyCase both support structured CSV import mapped to their standard contact, matter and custom-field structures — we format the export to match your existing field setup so it drops in without manual remapping.

Filevine uses a project-and-doc-based structure rather than a flat spreadsheet; we structure deliverables around your existing Filevine project fields so data lands where your team already expects to find it.

Litify, being Salesforce-based, accepts data through standard Salesforce import tools — we format exports to match your org's object structure, which your Litify administrator can review before import.

PracticePanther, CosmoLex and Smokeball each support structured import in slightly different formats; we confirm the exact template during scoping rather than assuming a one-size-fits-all export.

NetDocuments and iManage are document management systems rather than case databases — for these, our deliverable is typically a structured index or metadata sheet alongside correctly named and organized documents ready for upload.

Relativity is used specifically for e-discovery workflows — here our role is usually document tagging, batch numbering and coding to your review protocol, formatted for direct load into your existing workspace.

If your firm uses a platform not listed here, tell us during scoping — most case management systems support some form of structured import, and we'll confirm feasibility before quoting.

What a typical Pro-tier engagement looks like, week by week.

Week 1: Scoping call, NDA signed, secure upload link shared. First batch of files received and intake confirmed within 24 hours.

Week 1-2: First batch entered and cross-verified. You receive an initial delivery along with a short summary of anything flagged during QA — ambiguous entries, missing pages, or documents needing clarification.

Ongoing (Pro & Enterprise): A dedicated analyst continues processing new files as they arrive, with a weekly status update covering volume processed, anything flagged, and upcoming capacity.

Monthly: A case data analysis summary is included with Pro and Enterprise plans — trend and volume reporting across the matters processed that month.

Basic-tier one-off batches follow a compressed version of this same process — intake, entry, cross-verification, delivery — typically completed within the 5-day turnaround window.

What happens after you receive your data.

Delivery isn't the end of the engagement. Every project includes a review window after delivery — if something looks off, a figure seems wrong, or a record was missed, flag it and we correct it at no additional charge. This isn't a formal "support ticket" process; it's a direct line back to the analyst who worked your file.

For ongoing Pro and Enterprise engagements, this becomes a continuous loop rather than a one-time check — each new batch benefits from anything clarified in the previous one, and your dedicated analyst accumulates context on your matter types over time rather than starting fresh each month.

If you decide to end an engagement, working copies of your files are deleted on confirmation, consistent with the same data-handling commitment that applies from day one.

Why we track these specific numbers, not vaguer ones.

"Accuracy rate" as a standalone marketing figure is nearly meaningless without knowing what it's measured against. Discrepancy rate, by contrast, is measured against a concrete, auditable event — two independent entries disagreeing — rather than a subjective self-assessment of quality.

Post-delivery correction rate is the number that matters most to you directly: how often something slipped past our own QA and had to be caught by you instead. We'd rather report this transparently, even when it's not zero in a given month, than present a polished number that doesn't reflect what actually happened on your engagement.

International & multi-jurisdiction considerations.

Firms with clients or matters spanning multiple countries face an added layer of complexity: data protection rules vary by jurisdiction, and a workflow that's compliant for a domestic-only firm may not automatically satisfy a firm handling EU client data under GDPR, for example.

We're happy to discuss data residency, retention and processing specifics relevant to your jurisdiction during a scoping call — including confirming in writing what our workflow does and doesn't cover for your compliance team's records. If your firm requires a formal Data Processing Agreement in addition to a standard NDA, tell us during scoping.

For multi-jurisdiction matters — a patent portfolio spanning several countries, or a contract library with counterparties in different regions — we structure the tracker to flag jurisdiction-specific fields (governing law, local filing deadlines) rather than treating every record as identical.

How this compares to the alternatives, in plain terms.

Hiring in-house gives you the most direct control, but comes with the overhead of recruiting, onboarding and paying a full-time salary for work that may fluctuate significantly month to month — efficient for firms with consistently high, predictable volume, less so for firms with seasonal spikes.

Generic freelance platforms (broad marketplaces where you hire an individual contractor) offer speed and low cost, but rarely include the double-entry verification, confidentiality workflow, or legal-specific training this category of work benefits from — you're generally trusting a single unverified individual with sensitive documents.

Dedicated legal data services — what we offer — sit in between: faster to start than hiring, with a confidentiality and QA workflow generic freelance platforms don't provide, at fixed pricing that scales with your actual volume rather than a fixed salary regardless of workload.

Which option makes sense depends on your volume and how consistently predictable it is. If you're not sure which fits, that's a reasonable thing to ask about on a scoping call — we'd rather tell you honestly if in-house hiring makes more sense for your situation than oversell a service that isn't the right fit.

A bit about who's behind this.

Rafirit Station is a full-service digital agency based in Dhaka, Bangladesh, offering 24 services spanning web development, digital marketing, and data management & CRM automation — of which legal data entry and case data analysis is one specialized offering, sitting alongside services like CRM data management, lead generation and web research.

We work with clients across dozens of countries, which means our confidentiality and data-handling workflow is built to satisfy compliance expectations well beyond a single jurisdiction — not retrofitted after the fact for legal clients specifically. If your firm also needs any of our other services — a client intake website, CRM automation for lead follow-up, or ongoing web research — that's a conversation for the same scoping call.

Before you send us anything: 7 things worth preparing.

None of these are dealbreakers — we can work around most of them. But firms that prepare these upfront tend to get their first batch back faster.

A worked example: what a real quarter might cost.

Take a mid-size firm running the Pro tier at roughly 1,800 contracts a month, three months in a row: $499 × 3 = $1,497 for the quarter, covering clause extraction and renewal tracking across roughly 5,400 contracts total — an effective cost of about $0.28 per record once accounting for the mix of standard and moderately complex agreements in a typical contract library.

Compare that to a single paralegal hire at even a modest loaded cost of $4,000/month: the same quarter would run $12,000 — roughly eight times the cost — before accounting for the fact that a single hire's attention is split across many other responsibilities beyond contract data entry alone.

This is illustrative, not a quote — your actual mix of document complexity and volume will shift the numbers. The free scoping call exists specifically to replace this illustrative math with your real numbers before you commit to anything.

Why fixed pricing, not billed hours.

Hourly billing on data entry creates a strange incentive: the vendor is paid more the longer the work takes, and the client has no way to verify how much of that time was genuinely necessary. For something as procedural as legal data entry, that mismatch doesn't make sense.

We price by volume instead — records per batch or per month — because that's the variable that actually drives our cost, and it's the one you can see and verify before you commit to anything. You know the number before you sign off, not after an invoice arrives.

The one exception is genuinely unusual scope — heavily annotated handwritten files, non-English documents requiring translation, or highly irregular formats. In those cases we say so upfront, during the free scoping call, and quote a custom price before any work begins. You're never billed a surprise rate after the fact.

Who's actually doing the work.

Every engagement is staffed by a small, named team — typically two analysts plus a senior reviewer — rather than routed through a rotating pool. You'll know who's working on your file, and they'll have context on your matter by the second batch, not starting from zero each time.

Analysts assigned to legal data are trained specifically on legal document types before they're given case files — contract structure, common clause language, discovery terminology — rather than being generalist data-entry staff assigned to whatever comes in. Confidentiality training and an individual signed agreement are a condition of being assigned to legal work at all, on top of the engagement-level NDA your firm signs with us.

Our team is based in Dhaka, Bangladesh. If your firm's compliance process requires it, we're glad to walk through our exact workflow, staff vetting process, and data-handling practices on a call before you send anything.

A note on format flexibility.

Firms sometimes assume their documents are "too messy" to outsource — a mix of scan quality, inconsistent naming, files spread across email threads and shared drives. In practice, this is closer to the norm than the exception, and part of what a scoping call is for: sorting through what you actually have before assuming it needs to be cleaned up on your end first.

If you're unsure whether your specific situation is workable, the fastest way to find out is to send a representative sample — a few pages, in whatever condition they're actually in — during scoping, rather than guessing in the abstract.

Four examples of how firms actually use this.

A two-partner personal injury practice uses the Basic tier roughly once a quarter — sending a batch of 300-400 new client intake and medical record files after a busy signing period, and receiving a structured treatment-timeline tracker back within the standard 5-day window.

A mid-size corporate firm's contracts team runs the Pro tier continuously — around 1,800 contracts a month flow through for clause extraction and renewal tracking, with a dedicated analyst who has built up two years of context on the firm's standard agreement templates.

A litigation support vendor uses the Enterprise tier as white-label overflow capacity — routing discovery tagging work to us during trial-prep crunches without their end clients ever knowing a third party was involved, under a dedicated SLA.

A family law solo practitioner uses a Basic batch two or three times a year, specifically around financial disclosure deadlines in contested matters, valuing the fixed turnaround window over an ongoing commitment she doesn't otherwise need.

None of these firms are named here, in keeping with the same confidentiality standard we apply to the documents themselves — but the patterns above reflect how the three tiers actually get used in practice.

How an engagement is actually staffed.

Every engagement, regardless of tier, is staffed with a minimum of two analysts performing independent entry, plus one senior reviewer who signs off before delivery. This isn't scaled down for smaller batches — the same three-person verification structure applies whether you're sending 50 records or 5,000.

For Pro and Enterprise engagements, the same analyst pairing stays assigned to your account across batches rather than rotating, so context about your specific document types, terminology and preferences accumulates over time instead of resetting with every new batch.

A single team lead oversees all active legal data engagements and is your point of escalation if anything about a specific batch needs attention beyond your assigned analysts.

What actually happens on the scoping call.

It's a genuine conversation, not a sales script — typically 15-20 minutes, covering four things: what documents you're working with, roughly how many, what format you want them delivered in, and your real deadline. We'll ask to see a sample page or two if you have one handy, since that's the fastest way to confirm complexity and give you an accurate quote on the spot rather than a vague range.

If your situation is straightforward, you'll typically leave the call with a fixed price and a start date. If it's more unusual — a mixed batch of formats, an unusually tight deadline, or a compliance requirement we need to think through — we'll follow up in writing within 24 hours rather than guessing on the call itself.

There's no obligation attached to the call itself, and no pressure to decide on the spot. If another approach genuinely fits your situation better than what we offer, we'll say so.

The hesitations firms have before their first call — addressed directly.

"We've been burned by an outsourcer before." Most bad experiences with outsourced data entry trace back to no independent verification step and no named point of contact — both of which are structural to how we run every engagement, not an upgrade you have to ask for.

"Our partners are skeptical of offshore work on sensitive files." That's a reasonable position, and the right response isn't to argue it away but to make the workflow transparent — which is why the confidentiality and technical security sections above exist in this much detail, and why we're glad to walk a skeptical partner through it directly on a call.

"I'm not sure our documents are actually a good fit for outsourcing." That's exactly what the free scoping call is for — if your documents genuinely aren't a good fit (highly irregular, requiring in-person handling, etc.), we'll say so rather than take on work that isn't a good match.

"This feels like it should just be a paralegal's job." For many firms it is, and that's a legitimate choice — the tradeoff is the fixed cost of that headcount regardless of month-to-month volume, versus paying only for the volume actually processed.

We only ask for what the specific task actually requires.

A common concern firms raise is being asked to share more than necessary — full case strategy notes, privileged attorney work product, or client communications unrelated to the data entry task itself. We don't need any of that to do this work.

For contract data extraction, we need the contracts — not your negotiation notes. For docket tracking, we need the dates and filings — not your litigation strategy memo. If a request for access seems broader than the task requires, that's worth questioning, and we're glad to scope exactly what's needed on a call rather than defaulting to "send everything."

"Can this replace hiring a paralegal?" — a direct answer.

For the specific task of structured data entry, often yes — that's precisely the piece of paralegal work this service is built to take on, usually at lower and more predictable cost than a dedicated hire, especially for firms whose volume doesn't justify a full-time role.

For everything else a paralegal typically does — client communication, drafting assistance, court appearances support, direct case strategy involvement — no, and we wouldn't suggest otherwise. Many firms use this service specifically to free up their existing paralegal's time from data entry so they can focus on the higher-value parts of the role instead of replacing the role entirely.

Everything on this page — the confidentiality workflow, the QA process, the pricing structure — reflects how we actually run engagements, not a marketing description of an idealized version of it. If something above doesn't match what you experience once you start working with us, that's worth raising directly, and we'd rather hear it than have it go unsaid.