Last updated: February 2026
Speed.ai vs Invoca Signal AI: Which Is Right for Your Law Firm’s Intake Team?
This is the comparison that requires the most nuance on our list. Unlike Gong, NICE CXone, or Balto — platforms that have zero connection to legal — Invoca actually has law firm customers. PI firms like Angel Reyes & Associates and mass tort firms like Weitz & Luxenberg use Invoca. It’s not a stretch to imagine an intake manager looking at Invoca Signal AI and thinking, “This could work for us.”
And parts of it could. Invoca is genuinely good at what it does. The issue isn’t that Invoca is a bad product — it’s that what Invoca does and what a PI intake department actually needs are two different things.
Invoca Signal AI is a marketing attribution and conversation analytics platform that tells you which ad made the phone ring and whether the agent followed a script. Speed.ai is intake intelligence that tells you which cases your team lost, what they’re worth, and how to get them back.
Here’s an honest comparison.
What Is Invoca Signal AI?
Invoca is an AI-powered revenue execution platform founded in 2007 in Santa Barbara, California. It has raised $184 million from investors including Accel, Upfront Ventures, Silver Lake Waterman, and Salesforce Ventures. Its customers include AT&T, Verizon, AutoNation, Mayo Clinic, and Banner Health.
The platform’s core strength is connecting online advertising to offline phone conversions. When someone clicks a Google Ad, lands on your website, and then calls your firm, Invoca tracks that entire journey — attributing the phone call back to the specific campaign, ad group, keyword, and landing page that drove it. This is called marketing call attribution, and Invoca is one of the best in the world at it.
Signal AI is Invoca’s conversation analytics layer. It sits on top of the call tracking engine and uses machine learning to analyze what happens during the call. Signal AI’s core capabilities include:
- Signal AI Studio: A no-code interface for creating custom AI models (“signals”) that detect specific outcomes — like whether the caller was a lead, whether an appointment was booked, or whether the agent used a proper greeting. Each signal requires manual training with example calls.
- Signal AI Discovery: Unsupervised machine learning that clusters calls by topic and surfaces trends you weren’t specifically looking for — like a spike in callers asking about a specific type of case.
- Automated QA Scorecards: AI-generated scores measuring whether agents followed scripts, used proper greetings, expressed empathy phrases, and closed calls correctly.
- Sentiment Analysis: Neural network models that track caller and agent sentiment separately throughout the call.
- Transcription: AI-generated transcripts powered by LLMs trained on 700,000+ hours of audio.
Invoca integrates with Google Ads, Meta Ads, Adobe Experience Cloud, Salesforce, and dozens of other marketing and CRM platforms. It pushes conversion data back into ad platforms to optimize bidding and improve ROAS.
What Invoca Does Well — And Where It Stops
Credit where it’s due: Invoca is excellent at the problem it was built to solve. For law firms spending six or seven figures on advertising, knowing which campaigns drive calls that convert into retained cases is worth real money. Before Invoca, firms like Weitz & Luxenberg described their marketing attribution as a “blind spot” — they were spending across TV, radio, digital, and direct mail with no way to connect ad spend to signed cases. Invoca fixed that.
Invoca’s automated QA scorecards also solve a real problem. At Angel Reyes & Associates, contact center managers used to manually review agent calls to identify coaching opportunities. As the firm grew, that became impossible. Invoca automated the scoring — measuring greetings, script adherence, empathy phrases, and call closings — so managers could focus on coaching instead of listening.
Here’s where Invoca stops:
Invoca tells you which ad campaign drove the call. It tells you whether the agent said the right words. It does not tell you what the case was actually worth, whether your team lost a high-value lead, or how to get it back.
Invoca’s QA scorecards measure process compliance — did the agent follow the script? Did they use the greeting? Did they express empathy? These are useful baseline metrics. But in PI intake, the problem isn’t whether your agent said the right words. The problem is whether they recognized a $2 million traumatic brain injury case from the way the caller described their symptoms — and handled the conversation accordingly.
Invoca’s Signal AI can be trained to detect generic outcomes: “Was this caller a lead? Was an appointment booked?” It cannot be trained to detect: “This caller described symptoms consistent with a severe spinal cord injury, mentioned ongoing surgery, and indicated clear liability from a commercial truck driver — this is a high-value case that should have been fast-tracked to an attorney.”
That’s the gap Speed.ai fills.
What Is Speed.ai?
Speed.ai is a purpose-built intake intelligence platform designed exclusively for law firms. It monitors 100% of your intake calls in the background and delivers three things that no marketing attribution or generic conversation analytics tool can:
1. Case Quality Scoring — Trained on 100,000+ hours of legal intake calls and real-world settlement data, Speed.ai scores each call’s case quality by analyzing injury severity, medical treatment patterns, liability signals, and fault indicators. It doesn’t just tell you “this was a lead” — it tells you whether the lead is a $50,000 soft-tissue case or a $2 million catastrophic injury. Invoca’s Signal AI has no framework for this analysis.
2. Lead Rescue™ — Speed.ai’s proprietary algorithm identifies high-value cases your team lost during intake and alerts you so you can re-engage before the lead signs with another firm. This is the single biggest revenue lever for most PI firms — and no marketing attribution tool, including Invoca, can provide it. Invoca can tell you that a caller came from a $200 Google Ads keyword. It cannot tell you that the caller described injuries worth $1.5 million and your intake specialist failed to retain them.
3. Legal-Specific Intake Coaching — Speed.ai provides coaching calibrated to PI intake skills: empathy and rapport during sensitive injury discussions, proper qualification technique, urgency detection, and objection handling specific to personal injury conversations. Invoca’s QA scorecards measure generic agent behaviors — greetings, script adherence, closing phrases — that apply equally to a dental office and a cable company.
Speed.ai is month-to-month, sets up in under 10 minutes, works alongside your existing phone system, and requires no changes to your current intake process.
Marketing Attribution vs. Intake Intelligence
The clearest way to understand the difference is to follow a single phone call through both systems.
What Invoca Signal AI sees: A caller clicked a Google Ads campaign for “car accident lawyer near me,” landed on a specific landing page, and called the tracking number. The call lasted 8 minutes. The agent used the approved greeting. Sentiment was neutral trending slightly negative. Signal AI classified the call as “Lead — Appointment Not Booked.” The conversion data is pushed back to Google Ads to inform bidding.
What Speed.ai sees: The caller described a rear-end collision involving a commercial vehicle three weeks ago. They mentioned ongoing neck and back pain, an MRI showing two herniated discs, and a referral to a neurosurgeon. The other driver was cited by police. The caller asked about the firm’s track record with trucking cases. The intake specialist spent too long on administrative questions and failed to convey urgency or empathy during the injury discussion. The caller said they wanted to “think about it” — a signal Speed.ai recognizes as a lost lead. Case quality score: 87/100. Estimated case value: high. Lead Rescue™ alert triggered. The firm has 24–48 hours before this caller retains a competitor.
Invoca correctly identified that this was a lead who didn’t convert and that the lead came from a specific Google Ads campaign. That’s valuable data for marketing optimization. But Invoca has no idea that the firm just lost a potential seven-figure case — or why, or what to do about it.
Speed.ai vs Invoca Signal AI: Feature Comparison
Here’s how the two platforms compare across the dimensions that matter most for PI law firm intake operations:
| Feature | Speed.ai | Invoca Signal AI |
|---|---|---|
| Primary Purpose | ✅ Intake intelligence for law firms | ⚠️ Marketing attribution + conversation analytics for multi-industry brands |
| AI Training Data | ✅ 100K+ hours of legal intake calls + settlement data | ⚠️ 700K+ hours of multi-industry call audio — automotive, healthcare, home services, financial services, legal |
| Case Quality Scoring | ✅ Scores injury severity, liability, treatment, fault indicators, estimated case value | ❌ No legal case quality awareness — detects “lead vs. non-lead” and “appointment booked vs. not booked” |
| Lead Rescue™ | ✅ Identifies lost high-value cases with recovery alerts | ❌ No lost lead recovery — can identify that a conversion didn’t happen, but not the case value lost or recovery path |
| Marketing Call Attribution | ❌ Not a call tracking or marketing attribution tool | ✅ Industry-leading — tracks calls to campaign, ad, keyword, and landing page with closed-loop ROAS reporting |
| Ad Platform Integration | ❌ Not designed for marketing optimization | ✅ Pushes conversion data to Google Ads, Meta, Adobe, Search Ads 360 for bidding optimization |
| Call Coaching | ✅ PI intake-specific: empathy during trauma, urgency detection, legal qualification, objection handling | ⚠️ Generic QA scorecards: greetings, script adherence, empathy phrases, call closings — same metrics for every industry |
| Automated QA | ✅ Legal intake QA — evaluates case handling, qualification quality, and conversion effectiveness | ⚠️ Generic QA — measures process compliance (did agent follow script?) not intake effectiveness (did agent identify case value?) |
| Custom AI Signals | ✅ Pre-trained on legal intake — works out of the box | ⚠️ Requires manual training — you build custom signals by tagging example calls one at a time |
| Sentiment Analysis | ✅ Contextual — understands emotional dynamics of injury disclosure | ✅ Caller and agent sentiment tracked separately throughout calls |
| Setup Time | ✅ Under 10 minutes | ⚠️ Varies — call tracking setup is straightforward; Signal AI custom signals require ongoing training and refinement |
| Contract Terms | ✅ Month-to-month — cancel anytime | ⚠️ Typically annual contracts required |
| Pricing Model | ✅ Flat rate — no per-call charges, no add-on tiers | ⚠️ Custom quote — annual subscription + usage; Signal AI may require higher-tier plan or add-on |
| Legal Industry Focus | ✅ Exclusively legal — PI, mass tort, family law | ⚠️ Multi-industry — automotive, healthcare, home services, insurance, financial services, legal |
| Law Firm Customers | ✅ Purpose-built for PI law firms | ⚠️ Has law firm customers (Weitz & Luxenberg, Angel Reyes) — primarily for marketing attribution and generic QA |
Can You Use Both?
Yes — and this is the honest answer that most comparison pages won’t give you.
Invoca Signal AI and Speed.ai solve different problems at different stages of the intake pipeline. If your firm spends significant money on advertising and you need to know which campaigns are driving your best calls, Invoca is genuinely good at that. Speed.ai doesn’t do marketing attribution and isn’t designed to.
The stack works like this:
- Invoca Signal AI → Tells you which ad campaign drove the call and whether it was a lead (top of funnel — marketing optimization)
- Speed.ai → Analyzes what happened on the call, scores case quality, coaches the intake team, and rescues lost leads (intake layer — revenue recovery)
Invoca tells the marketing team: “Your Google Ads campaign for ‘truck accident lawyer’ is driving 40% more qualified calls than your TV spots.”
Speed.ai tells the intake manager: “Your team lost 12 high-value cases this week. Here are the three worth recovering today.”
If you have to choose one, the question is: what’s your bigger problem? If you don’t know where your calls are coming from and you’re wasting marketing budget, start with Invoca. If you know your marketing is driving calls but suspect your intake team is losing good cases, start with Speed.ai — because every lost high-value case is a direct hit to revenue that no amount of marketing optimization can recover.
Where Invoca Falls Short for Legal Intake
Even for law firms already using Invoca, there are specific gaps in the intake layer that Invoca was never designed to fill:
No case quality scoring. Invoca can detect whether a call was a “lead” and whether an “appointment was booked.” It cannot evaluate injury severity, liability strength, medical treatment complexity, or estimated case value. Two calls that Invoca classifies identically as “Lead — Appointment Booked” could represent a $30,000 soft-tissue case and a $3 million spinal cord injury. Speed.ai distinguishes between them.
No lead recovery. Invoca can flag that a lead didn’t convert. It cannot tell you whether that lost lead was a $50,000 case or a $2 million case, why it was lost, or how to get it back. Speed.ai’s Lead Rescue™ identifies the high-value cases specifically, alerts you with case details, and gives your team a window to re-engage before the caller retains a competitor.
Generic QA, not intake QA. Invoca’s automated scorecards measure whether the agent used a proper greeting, stuck to the script, used empathy phrases, and closed correctly. These are the same metrics you’d apply to a dental receptionist, an insurance agent, or an HVAC booking coordinator. They don’t measure whether the intake specialist identified a high-value case, asked the right qualification questions for that specific injury type, or handled the caller’s emotional state in a way that built trust and moved toward retention.
Signal AI requires manual training. Invoca’s Signal AI Studio is a no-code tool — which is genuinely easier than most enterprise platforms — but you still have to build your own AI models by defining what you want to detect, reviewing example calls, and refining accuracy through multiple training cycles. Speed.ai arrives pre-trained on legal intake. It works on the first call.
When Invoca Signal AI Is the Right Choice
Invoca makes sense when:
- Your primary problem is marketing attribution — you need to know which campaigns, channels, and keywords are driving your best calls
- You spend heavily on advertising across multiple channels (Google Ads, TV, radio, social, direct mail) and need closed-loop ROAS reporting
- You want to push phone conversion data back into Google Ads or Meta to optimize bidding and improve cost-per-acquisition
- You need basic automated QA scorecards to ensure agents follow scripts and use approved messaging
- You run multi-location operations and need to compare call handling across offices or affiliates
When Speed.ai Is the Right Choice
Speed.ai makes sense when:
- You already know marketing is driving calls — your problem is that your intake team is losing good cases and you need to know which ones, why, and how to recover them
- You need AI that scores case quality natively — injury severity, liability, treatment complexity, estimated value — not just “lead vs. non-lead”
- You need Lead Rescue™ to identify and recover lost high-value cases before callers retain competitors
- You want intake coaching calibrated to PI-specific skills, not generic script adherence metrics
- You want month-to-month pricing with no annual contracts or custom quoting
- You need to be operational in 10 minutes with AI that works out of the box — no signal training, no model building
The Bottom Line
Invoca Signal AI is a strong platform that solves a real problem for law firms with significant advertising budgets. If you spend six or seven figures on marketing and you don’t know which campaigns are driving your best phone leads, Invoca can deliver immediate ROI by closing that attribution gap. Its automated QA scorecards also provide a solid baseline for measuring agent process compliance.
But Invoca was built to answer the marketing team’s question: “Which ad made the phone ring?” It was not built to answer the intake manager’s question: “Which cases are we losing, what are they worth, and how do we get them back?”
Speed.ai was built specifically for that second question. Legal-trained AI. Case quality scoring. Lead Rescue™. Intake-specific coaching. Month-to-month. Operational in 10 minutes.
For firms with the budget for both, the combination is powerful: Invoca optimizes the top of the funnel, Speed.ai protects the bottom. For firms choosing one, it depends on where you’re losing more money — on wasted ad spend or on lost cases your team let walk out the door.
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