Onboarding founding clients · 2026

Custom AI for legal work, built not to make things up.

The thing attorneys fear most about AI is that it invents facts. Every FirstLine system is built and tested specifically to prevent that. We build custom systems scoped to your actual cases and documents, not generic legal AI pulled off a shelf: reading and analyzing your records and documents, structuring intake, drafting routine work for review, and handling the repetitive document work that eats your team's hours.

Built not to make things up

The first question most attorneys ask about AI is whether it invents things. It is the right question. A single fabricated fact can discredit an entire document, so preventing that is not a feature we added, it is the rule the whole build is designed around.

Every claim the system makes is tied to its source. For each item in the output, a date, a figure, a diagnosis, a flagged issue, the system shows where in your own documents it came from. If it cannot point to a source for something, it does not state it. Rather than fill the gap with a plausible guess, it flags exactly what is missing and asks your firm to supply it.

We prove that out before a system ever touches your live files. Each build is tested against case files, some fabricated to mimic real matters and some real and de-identified. Every run is checked on three things: that it pulled the correct information, that it represented that information accurately, and that it produced the output correctly. Represented accurately means every fact traces to a real source in the documents, and nothing appears that is not in the source.

The system has to pass all three, ten times in a row. A single failure resets the count to zero. It does not go live until it clears ten consecutive clean runs.

How your client data is handled

Your clients' information stays inside your firm's system. The case data you run through it is never used to train outside or public AI models, and never becomes part of a vendor's shared dataset. It is used to do your firm's work, and nothing else.

That means your firm can put AI to work on real client files without handing that material to a third party or feeding it into a public model. The protection is built into how the system is set up, not added on later. This is the kind of protection large firms build in-house, set up for a small firm's budget.

What we do

FirstLine AI builds practice-specific systems for law firms, scoped to your actual cases and documents rather than pulled off a shelf. Whatever your practice area, every system is built around how your attorneys actually run their matters, your firm's existing workflow, and the software you already use.

We work with whatever you have in place: Filevine, MyCase, Litify, Smokeball, Clio, or just spreadsheets and folders. The system is built around your firm, not the other way around.

The result: firms take on more work, recover attorney hours from rote work, and get higher-quality work product anchored in their actual case facts, at a fraction of the cost of an additional paralegal or associate.

FirstLine. for PI

A representative build for plaintiff personal injury firms.

A representative build showing AI automation fit to a plaintiff PI workflow. The example reads and analyzes medical records into a structured, sourced summary, and can draft a demand letter from those records, anchored in actual case facts rather than boilerplate.

  • Turns a full records dump into a structured summary, with every figure traced back to its source
  • Catches defense weaponization angles often missed when associates are stretched thin
  • Delivers paralegal-grade output without paralegal-level overhead, a fraction of the cost of additional staff
View representative build →

Coda.

A representative build for music industry attorneys.

A representative build for music industry attorneys, whether you handle label deals, publishing, sync, or a mix. The example reads contracts for diligence flags, models recoupment scenarios, and drafts client communications anchored in actual deal terms rather than templates.

  • Surfaces contract risks a fast diligence read might miss
  • Models recoupment scenarios with your firm's specific deal math, not estimates
  • Drafts client-ready responses anchored in real terms, not template language
View representative build →

These are two builds we've shipped. The same approach applies to most practice areas, if your firm runs on documents and repeatable work, it's a candidate.

What a system looks like in practice

Here's an example of a FirstLine system, in this case a personal injury workflow, with individual tools connected into one pipeline: a case flowing from a stack of raw records to a structured summary with every figure traced to its source. Every system is built custom to the firm; this is one representative example.

FirstLine PI

System Pipeline

One connected system, from records intake to a structured, sourced summary.

Output · Records Summary
Marcus Whitfield
Illustrative sample
Treatment events
18
Documented specials
$17,769.00
Treatment span
Aug 14, 2025→ Jan 15, 2026
Red flags
3
Treatment timeline
  • 08/14/25Northside Hospital ED · Emergency dept. visitMaterial
  • 08/22/25Atlanta Spine & Ortho · Initial consultReview
  • 09/12/25PivotPoint PT · PT course (23 visits)
  • 11/14/25Atlanta Imaging · MRI cervical spineMaterial
Diagnoses
Cervical strainC5-C6 disc protrusionRight C6 radiculopathy
Treatment gap 09/20 to 10/04 (14 days), flagged for review and cited to source pages.
Output · Documented Specials
Marcus Whitfield
Illustrative sample
Specials pulled from the records
  • $4,210.00Northside Hospital ED · ED facility charge, ledger p.3Cited
  • $9,340.00Atlanta Spine & Ortho · consults and procedures, statement p.1Cited
  • $3,105.00PivotPoint PT · 23 visits, billing summary p.2Cited
  • $1,114.00Atlanta Imaging · MRI cervical spine, invoice p.1Cited
Documented total
$17,769.00, taken from the billing summary (p.1) and matching the four itemized charges above. Extracted from the records, not calculated by the system.
Flagged for review
Treatment gap 09/20 to 10/04 (14 days), cited to source pages.
PivotPoint PT billed 23 visits, referral authorized 20 (p.2). Flagged as an inconsistency.
MRI ordered 11/14 but no radiology report in the file. Flagged as missing, not assumed.
About

FirstLine AI was founded on a simple observation: attorneys spend an enormous portion of their week on work that should be automated. Reviewing records, summarizing documents, pulling case details into filings, drafting routine paperwork. The actual practice of law gets compressed into whatever hours are left.

The legal software market is full of products that claim to fix this. Most don't, because they're built by software companies for the software companies' margins, not for the firm's workflow.

I started FirstLine AI to build the opposite: practice-specific systems, designed around how a real firm actually runs its matters, integrated with whatever case management software they already use. Every system is built in close collaboration with the attorneys who'll use it daily.

I'm based in Atlanta, building from the ground up, currently with two deployed representative builds serving personal injury firms (FirstLine for PI) and music industry attorneys (Coda). If your practice could benefit from systems that actually fit your workflow, I'd like to hear about your situation.

Not sure if this fits your practice? Most attorneys tell me they're skeptical at first, until they see how a system handles their own files.

Walk through one of the representative builds with sample data, or send me your situation directly and I'll tell you honestly whether a FirstLine build fits your firm.

Start a scoping conversation
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