THE
SIGNAL
Cited data points on legal tech, AI, and the business of law. Sourced. Searchable. Always growing.
I have been collecting reports, surveys, and research on the legal industry for years. The problem was always doing anything useful with them - they sat in folders, half-remembered, impossible to search across. It was only with the arrival of LLMs that I could actually extract and structure the data points buried inside them at any kind of scale.
So that is what this is. Every interesting stat I come across - funding rounds, adoption numbers, benchmark results, workforce shifts - goes into the database with its source and date. I started doing it for my own slide decks, client conversations, and newsletter editions, but it felt like something worth sharing. Finding a solid, cited number when you need one is surprisingly hard, and most of us end up writing “according to industry estimates” because we cannot find the actual figure fast enough.
Search it, filter it, copy what you need. I update it whenever there is a reason to - a major report dropping, a backlog of new stats worth pushing out, or when I notice the last refresh was a while ago. It is also interesting to rewind through the timeline and see which promises came true and which disappeared.
DON’T TRUST...
/ VERIFY
Every stat in here has a source and a date, but I have not personally verified every single one. Cross-checking 1,600+ data points against original reports is expensive and slow, so the honest position is: treat this as a starting point, not a final answer.
What I actually do before I drop a number into a client deck or a newsletter is run the Claude Code skill below against the specific stats I care about. It spawns parallel research agents, finds the original source, cross-references against independent reporting, and flags anything that does not match.
Basically: check yourself before you wreck yourself.
Copy the skill, drop it into ~/.claude/skills/verify/SKILL.md, and run /verify on whatever you are about to cite.
All 1,679 stats
| Stat | Source | Date | Theme | |
|---|---|---|---|---|
69% of legal professionals personally use general-purpose AI for work (up from 31% in 2025, 27% in 2024) | 8am 2026 Legal Industry Report | 2026 | Adoption | |
82% of immigration lawyers use general-purpose AI - highest by practice area | 8am 2026 Legal Industry Report | 2026 | Adoption | |
42% personally use legal-specific AI tools | 8am 2026 Legal Industry Report | 2026 | Adoption | |
28% use generative AI every day; 71% at least once per week; only 19% never | 8am 2026 Legal Industry Report | 2026 | Adoption | |
38% of AI users save 1-5 hours/week; 14% save 6-10 hours; 61% report measurable time savings | 8am 2026 Legal Industry Report | 2026 | Adoption | |
46% of firms adopted general-purpose AI; 58% among firms with 20+ lawyers | 8am 2026 Legal Industry Report | 2026 | Adoption | |
34% of firms adopted legal-specific AI, up from 21% last year | 8am 2026 Legal Industry Report | 2026 | Adoption | |
43% of firms have no formal AI policy and no plans to create one; only 9% have enforced policy | 8am 2026 Legal Industry Report | 2026 | Regulatory | |
54% of firms provide no AI training and have no plans to; only 11% mandatory | 8am 2026 Legal Industry Report | 2026 | Workforce | |
Only 6% said clients requesting AI-related price reductions; 83% said "not yet" | 8am 2026 Legal Industry Report | 2026 | Client | |
Only 3% said clients frequently ask to demonstrate AI efficiency; 75% "not at all" | 8am 2026 Legal Industry Report | 2026 | Client | |
29% identified AI as top ROI investment next 3 years; rises to 51% among firms with 21+ lawyers | 8am 2026 Legal Industry Report | 2026 | Market | |
39% expect fewer paralegal/support roles; 21% expect fewer junior associates | 8am 2026 Legal Industry Report | 2026 | Workforce | |
60% expect AI to impact more than 25% of routine legal tasks within 5 years | 8am 2026 Legal Industry Report | 2026 | Workforce | |
Technical fluency with AI ranked most valuable future skill at 61% | 8am 2026 Legal Industry Report | 2026 | Workforce | |
62% of lawyers agreed the rule of law is under threat in the US | 8am 2026 Legal Industry Report | 2026 | Critical | |
72% identified cost of legal services as primary barrier to access to justice | 8am 2026 Legal Industry Report | 2026 | Market | |
94% said Legora enables faster client response (31 firms, 14 countries) | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
65% said tasks that used to take hours now take minutes | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
4,500 trade slips reviewed with 75% time savings on 130-hour project | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
Average 4.3 non-billable hours saved per lawyer per week | Legora ROI Report (Ari Kaplan) | 2026 | Market | |
Potential $6.9M additional yearly billing per 100 lawyers | Legora ROI Report (Ari Kaplan) | 2026 | Market | |
71% said Legora identifies issues they would have missed | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
74% rated likelihood of recommending Legora as 9 or 10 out of 10 | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
68% of mid-level associates cited as primary time-savings beneficiaries | Legora ROI Report (Ari Kaplan) | 2026 | Workforce | |
42% reported Legora helped win new work | Legora ROI Report (Ari Kaplan) | 2026 | Market | |
55% said Legora replaced or reduced need for other tools | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
Contract review: 15-45 min per contract with Legora vs 60-90 min without | Legora ROI Report (Ari Kaplan) | 2026 | Adoption | |
39% said Legora enables easier AFA/fixed-fee pricing | Legora ROI Report (Ari Kaplan) | 2026 | Market | |
96% of law firms raised rates in 2025 | BigHand Annual Law Firm Finance Report | 2026 | Market | |
89% of firms saw higher write-offs in 2025; 88% expect more in 2026 | BigHand Annual Law Firm Finance Report | 2026 | Market | |
AFA requests rose from 29% in 2024 to 47% in 2025 | BigHand Annual Law Firm Finance Report | 2026 | Client | |
50% of firms cite aged WIP as top concern (up from 32% last year) | BigHand Annual Law Firm Finance Report | 2026 | Market | |
Harvey harness engineering: scores jumped from 40.8% to 87.7% across 12 tasks | Artificial Lawyer | Apr 2026 | Technical | |
7 of 12 Harvey benchmark tasks exceeded 90%; 1 hit 100% | Artificial Lawyer | Apr 2026 | Technical | |
$145K in AI hallucination sanctions in Q1 2026 alone | NPR / multiple | Apr 2026 | Regulatory | |
1,200+ documented AI hallucination cases globally (~800 from US courts) | Damien Charlotin database | Apr 2026 | Regulatory | |
$109,700 sanctions in Oregon - largest single AI hallucination penalty | NPR / NWSidebar | Apr 2026 | Regulatory | |
10 AI hallucination cases from 10 different courts on a single day | Damien Charlotin | Apr 2026 | Regulatory | |
Legora hits $100M ARR in 18 months | Legora / BVP / TNW | Apr 2026 | Market | |
Legora: 1,000+ customers across 50 markets; 400+ employees | Legora | Apr 2026 | Market | |
Legora total funding past $815M | Legora / BVP | Apr 2026 | Market | |
Harvey $11B valuation requires ~$550M ARR at 20x multiple - potentially 65% of legaltech software spend | Lawyer Forward analysis | Apr 2026 | Market | |
ARC-AGI-3 benchmark: AI scored under 1% on autonomous goal inference; humans solved ~100% | ARC-AGI | Apr 2026 | Technical | |
PageIndex/Mafin 2.5: 98.7% accuracy on FinanceBench | VectifyAI | Apr 2026 | Technical | |
OpenAI proposes Public Wealth Fund modelled on Alaska Permanent Fund, seeded by AI companies | OpenAI Industrial Policy | Apr 2026 | Workforce | |
OpenAI proposes robot/automation taxes to replace eroding payroll tax base | OpenAI Industrial Policy | Apr 2026 | Workforce | |
OpenAI proposes 32-hour/four-day workweek pilots with no pay cut, as "efficiency dividend" from AI | OpenAI Industrial Policy | Apr 2026 | Workforce | |
OpenAI proposes automatic safety net triggers activated when AI displacement metrics hit thresholds | OpenAI Industrial Policy | Apr 2026 | Workforce | |
OpenAI offering research grants up to $100K + $1M API credits for industrial policy research | OpenAI Industrial Policy | Apr 2026 | Market |
69% of legal professionals personally use general-purpose AI for work (up from 31% in 2025, 27% in 2024)
8am 2026 Legal Industry Report
82% of immigration lawyers use general-purpose AI - highest by practice area
8am 2026 Legal Industry Report
42% personally use legal-specific AI tools
8am 2026 Legal Industry Report
28% use generative AI every day; 71% at least once per week; only 19% never
8am 2026 Legal Industry Report
38% of AI users save 1-5 hours/week; 14% save 6-10 hours; 61% report measurable time savings
8am 2026 Legal Industry Report
46% of firms adopted general-purpose AI; 58% among firms with 20+ lawyers
8am 2026 Legal Industry Report
34% of firms adopted legal-specific AI, up from 21% last year
8am 2026 Legal Industry Report
43% of firms have no formal AI policy and no plans to create one; only 9% have enforced policy
8am 2026 Legal Industry Report
54% of firms provide no AI training and have no plans to; only 11% mandatory
8am 2026 Legal Industry Report
Only 6% said clients requesting AI-related price reductions; 83% said "not yet"
8am 2026 Legal Industry Report
Only 3% said clients frequently ask to demonstrate AI efficiency; 75% "not at all"
8am 2026 Legal Industry Report
29% identified AI as top ROI investment next 3 years; rises to 51% among firms with 21+ lawyers
8am 2026 Legal Industry Report
39% expect fewer paralegal/support roles; 21% expect fewer junior associates
8am 2026 Legal Industry Report
60% expect AI to impact more than 25% of routine legal tasks within 5 years
8am 2026 Legal Industry Report
Technical fluency with AI ranked most valuable future skill at 61%
8am 2026 Legal Industry Report
62% of lawyers agreed the rule of law is under threat in the US
8am 2026 Legal Industry Report
72% identified cost of legal services as primary barrier to access to justice
8am 2026 Legal Industry Report
94% said Legora enables faster client response (31 firms, 14 countries)
Legora ROI Report (Ari Kaplan)
65% said tasks that used to take hours now take minutes
Legora ROI Report (Ari Kaplan)
4,500 trade slips reviewed with 75% time savings on 130-hour project
Legora ROI Report (Ari Kaplan)
Average 4.3 non-billable hours saved per lawyer per week
Legora ROI Report (Ari Kaplan)
Potential $6.9M additional yearly billing per 100 lawyers
Legora ROI Report (Ari Kaplan)
71% said Legora identifies issues they would have missed
Legora ROI Report (Ari Kaplan)
74% rated likelihood of recommending Legora as 9 or 10 out of 10
Legora ROI Report (Ari Kaplan)
68% of mid-level associates cited as primary time-savings beneficiaries
Legora ROI Report (Ari Kaplan)
42% reported Legora helped win new work
Legora ROI Report (Ari Kaplan)
55% said Legora replaced or reduced need for other tools
Legora ROI Report (Ari Kaplan)
Contract review: 15-45 min per contract with Legora vs 60-90 min without
Legora ROI Report (Ari Kaplan)
39% said Legora enables easier AFA/fixed-fee pricing
Legora ROI Report (Ari Kaplan)
96% of law firms raised rates in 2025
BigHand Annual Law Firm Finance Report
89% of firms saw higher write-offs in 2025; 88% expect more in 2026
BigHand Annual Law Firm Finance Report
AFA requests rose from 29% in 2024 to 47% in 2025
BigHand Annual Law Firm Finance Report
50% of firms cite aged WIP as top concern (up from 32% last year)
BigHand Annual Law Firm Finance Report
Harvey harness engineering: scores jumped from 40.8% to 87.7% across 12 tasks
Artificial Lawyer
7 of 12 Harvey benchmark tasks exceeded 90%; 1 hit 100%
Artificial Lawyer
$145K in AI hallucination sanctions in Q1 2026 alone
NPR / multiple
1,200+ documented AI hallucination cases globally (~800 from US courts)
Damien Charlotin database
$109,700 sanctions in Oregon - largest single AI hallucination penalty
NPR / NWSidebar
10 AI hallucination cases from 10 different courts on a single day
Damien Charlotin
Legora hits $100M ARR in 18 months
Legora / BVP / TNW
Legora: 1,000+ customers across 50 markets; 400+ employees
Legora
Legora total funding past $815M
Legora / BVP
Harvey $11B valuation requires ~$550M ARR at 20x multiple - potentially 65% of legaltech software spend
Lawyer Forward analysis
ARC-AGI-3 benchmark: AI scored under 1% on autonomous goal inference; humans solved ~100%
ARC-AGI
PageIndex/Mafin 2.5: 98.7% accuracy on FinanceBench
VectifyAI
OpenAI proposes Public Wealth Fund modelled on Alaska Permanent Fund, seeded by AI companies
OpenAI Industrial Policy
OpenAI proposes robot/automation taxes to replace eroding payroll tax base
OpenAI Industrial Policy
OpenAI proposes 32-hour/four-day workweek pilots with no pay cut, as "efficiency dividend" from AI
OpenAI Industrial Policy
OpenAI proposes automatic safety net triggers activated when AI displacement metrics hit thresholds
OpenAI Industrial Policy
OpenAI offering research grants up to $100K + $1M API credits for industrial policy research
OpenAI Industrial Policy