Family law clients hate not knowing what their case will cost. Attorneys hate recording every tenth of an hour. Jessica Travis, managing partner of Fighter Law, has spent years looking for a better way. What she has built over the past four months is one of the more thoughtful flat fee models in family law practice today, and the firm around it is growing because of decisions like this one.
The Flat Fee Structure: Base Rates Plus Priced Add-Ons
Travis did not try to flatten every family law case into a single number. Instead, she built a spreadsheet her attorneys use at intake that starts with a base fee for each case type and layers in complexity from there.
Base fee triggers by case type:
- Divorce
- Paternity
- Modification
- Motion for contempt or enforcement
Add-ons that increase the flat fee quote:
- Contested children’s issues
- Substantial assets or liabilities
- Real property
- Need for expert witnesses
- Depositions
- Multiple mediations
- Temporary relief motions
Every add-on has a fixed price, and clients see that price before they sign. If a complication never materializes, they never pay for it. If it does, no one is surprised by the number because it was already in the agreement.
| Fee Component | When It Applies | Client Visibility |
|---|---|---|
| Base fee | Every case, set by case type | Quoted at intake |
| Add-on fees | If specific issues arise | Listed in retainer upfront |
| Monthly payments | Spread over up to 11 months | Scheduled at signing |
| Remaining payments | Waived if case settles | Explained before hiring |
The full flat fee covers one year of representation. Clients pay a down payment at signing, then monthly installments on the balance.
Settlement Saves the Client Money. Intentionally.
Travis built a financial incentive for settlement directly into the fee structure. If the case resolves before the year is up, the remaining monthly payments are waived.
Using her own example with placeholder numbers: a $9,000 flat fee with a $3,000 down payment leaves $6,000 spread across 11 months. If the case wraps up in month two, the client walks away having paid around $4,000 total instead of $9,000.
That structure gives clients a real financial reason to cooperate, get their documents in on time, and stay open to agreement. Travis is direct about why she designed it that way. A judge deciding the outcome of a family is almost always worse for everyone involved than the family deciding it themselves. The fee model pushes gently in that direction.
It also changes conversations about marginal disputes. When a client wants to fight over $2,000 and the attorney fees to do so will exceed that amount, the math becomes hard to ignore.
Hiring Attorneys Who Fit the Work
Travis uses a DISC assessment before every hire. Fighter Law handles criminal defense, family law, personal injury, and estate planning, and most clients have never interacted with the legal system before. That narrows what she is looking for considerably.
What Travis screens for in attorney candidates:
- Comfort in the courtroom and with strangers
- Ability to explain complex legal concepts to people with no legal background
- Patience with clients in crisis
- Genuine care about client outcomes, not just legal outcomes
- Alignment with the firm’s motto: we fight because we care
Most of her associates come in with a few years at a state attorney’s office or public defender’s office. They know the courthouse and how to address a judge. Fighter Law teaches them the substantive law and the firm’s way of working with clients.
Cross-training is available but not required. Attorneys who want to stay in criminal defense stay there. Attorneys who want to move across practice areas get those opportunities. Travis follows the attorney’s interest rather than forcing rotation.
An AI Receptionist Named Emma
Fighter Law implemented LexiDesk about a month before this episode recorded. The AI receptionist is named Emma, and Travis describes rolling her out the same way she would a new human employee: she is learning, the team is training her, and the expectations are calibrated accordingly.
The intake team’s reaction was positive, which is not always the case when firms bring in automation.
What Emma handles:
- All inbound calls, including sales calls the team used to filter manually
- Routing current clients to the right team member
- Qualifying new leads and capturing contact information
- Generating an email summary for every single call
That last point matters more than it might sound. Before Emma, a missed call meant a phone number with no context. Now every call has a record: who called, why, and what happened. The team runs weekly intake meetings with that data and can see trends they were previously guessing at.
Travis is still running the numbers on whether the AI receptionist has increased consultation bookings. The data infrastructure to answer that question cleanly is something she is still building.
Tracking Data When Your Software Makes It Hard
Fighter Law uses Clio Grow for intake and Clio Manage for cases. Travis is straightforward about the limitation: Clio Grow does not have an open API and does not connect with Zapier or Make, so pulling data into a format she can actually use requires manual work.
What the weekly intake meeting covers:
- Total leads that came into the firm that week
- Consultations scheduled versus consultations completed
- Cases hired
- Total fees quoted, total fees from hired clients, total fees collected
- Lead sources broken down by marketing channel and referral relationship
- Cases broken down by practice area
- Week-over-week trend lines across all of the above
The data lives in a spreadsheet with graphs. It is not automated. Travis is working on fixing that, but the discipline of the weekly review exists regardless of how polished the infrastructure is.
Her broader point about systems applies here too: the SOPs for how the team uses Clio Grow have been revised more times than she can count. Every time the software adds functionality or the team finds a better way, the process updates. The goal is that everyone always knows what changed and why.
Key Takeaways
- A flat fee with priced add-ons gives clients certainty without forcing attorneys to absorb unlimited scope
- Building settlement incentives into the fee structure changes client behavior before the first hearing
- Clients who know the worst-case cost before signing are less likely to dispute the bill at the end
- Hiring for courtroom comfort and client empathy matters more than hiring for resume credentials alone
- An AI receptionist is most valuable not just for call volume but for the data trail it creates on every interaction
- Clean data requires disciplined systems inside whatever software you use, not just good software
For more conversations about building a modern law firm, watch the latest episode of Law Labs here.
