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Summarization report, cutoff Oct 26, 2026.

As of Oct 26, 2026, aiforlawyers.app counts 286 lawyer voices on summarization; 253 voices name one of 12 tools, 8 of which have 10+ voices and are rated. Highest floor of the 90% band: Claude (net +59, band +33 to +75, 27 voices, Low confidence).

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aiforlawyers.app (AI Vortex), Summarization report, cutoff Oct 26, 2026, https://aiforlawyers.app/report/summarization, licensed CC BY 4.0.

For one figure: “As of Oct 26, 2026, aiforlawyers.app counts 286 lawyer voices on summarization; 253 voices name one of 12 tools, 8 of which have 10+ voices and are rated. Highest floor of the 90% band: Claude (net +59, band +33 to +75, 27 voices, Low confidence).”

Every tool, with its voices

12 tools named in 286 voices on summarization. Rated tools first, ordered by the floor of the 90% band; then the tools with few voices, with their count and no band. Net = like minus dislike per 100 voices.

#ToolStatusVoicesNet90% bandConfidenceTop complaint (voices)
1ClaudeRated27+59+33 to +75LowAccuracy (4)
2ChatGPTRated114+5−8 to +18MediumAccuracy (24)
3GeminiRated11+36−10 to +68LowAccuracy (2)
4CopilotRated19+11−19 to +38LowAccuracy (9)
5HarveyRated19+11−24 to +41LowAccuracy (4)
6Westlaw AIRated11−9−43 to +29LowAccuracy (6)
7CoCounselRated33−30−49 to −7LowAccuracy (20)
8Lexis+ AIRated10−40−70 to +5LowAccuracy (6)
–ClioFew voices3–no band: 3 of 10 voices needednot ratedAccuracy (3)
–LegoraFew voices3–no band: 3 of 10 voices needednot ratedAccuracy (2)
–PerplexityFew voices2–no band: 2 of 10 voices needednot ratednone on record
–SpellbookFew voices1–no band: 1 of 10 voices needednot ratednone on record

What lawyers complain about, in their words

The most named complaints per tool, with a verbatim quote each. Counts are voices, not opinions of the firm or of us.

ClaudeRated · 27 voices

6 voices of 27 criticize it or are mixed about it with a named complaint: accuracy (4), trust, liability (1), price (1).

“I tried to use Claude to create an index for me recently to a tranche of documents and I had to hand feed it small batches and then paste together the small tables it was able to create per batch.”
r/Lawyertalk · Sep 4, 2026 · Accuracy · Original thread ↗
“Maybe US statutes are different but if you are an Australian lawyer asking Claude to summarise an Act, you should have your practising certificate under review.”
Bluesky · Sep 8, 2026 · Trust, liability · Original thread ↗
ChatGPTRated · 114 voices

60 voices of 114 criticize it or are mixed about it with a named complaint: accuracy (24), hallucination (18), privacy (11), trust, liability (6), integration (1).

“Not one sentence in his ChatGPT summary applied to his case.”
r/Lawyertalk · Jan 9, 2026 · Accuracy · Original thread ↗
“Both times it hallucinated testimony and even quoted testimony.”
r/Lawyertalk · Jun 1, 2026 · Hallucination · Original thread ↗
GeminiRated · 11 voices

4 voices of 11 criticize it or are mixed about it with a named complaint: accuracy (2), hallucination (1), privacy (1).

“Gemini is definitely not accurate. Take any deposition and check the pincites Gemini provides and you will find many inaccuracies.”
r/LawFirm · Oct 1, 2025 · Accuracy · Original thread ↗
“Gemini hallucinates like hell so I cannot really work with a 66 page legal pdf efficiently”
Hacker News · Feb 17, 2024 · Hallucination · Original thread ↗
CopilotRated · 19 voices

11 voices of 19 criticize it or are mixed about it with a named complaint: accuracy (9), privacy (2).

“They absolutely trashed most conversation threads with barren slop and mixed up convo threads.”
Hacker News · Jun 18, 2026 · Accuracy · Original thread ↗
“Microsoft Copilot read and summarized confidential emails for almost a month.”
Bluesky · Mar 3, 2026 · Privacy · Original thread ↗
HarveyRated · 19 voices

10 voices of 19 criticize it or are mixed about it with a named complaint: accuracy (4), hallucination (3), trust, liability (1), price (1), integration (1).

“Even when I add docs to a vault and ask for a review table, getting Harvey to actually “read” the docs is like pulling teeth.”
r/biglaw · Oct 15, 2026 · Accuracy · Original thread ↗
“As a paralegal i quality checked many such summaries done via harvey and found that they were largely unreliable/they would hallucinate facts and arguments”
r/biglaw · Aug 5, 2025 · Hallucination · Original thread ↗
Westlaw AIRated · 11 voices

8 voices of 11 criticize it or are mixed about it with a named complaint: accuracy (6), hallucination (1), price (1).

“The new ones that I suspect are AI read like generic ChatGPT-voice, and the substance is borderline inaccurate.”
r/biglaw · Sep 25, 2025 · Accuracy · Original thread ↗
“I uploaded a federal regulation into westlaw and it broke/hallucinated on me to no end.”
r/LawFirm · Apr 25, 2025 · Hallucination · Original thread ↗
CoCounselRated · 33 voices

26 voices of 33 criticize it or are mixed about it with a named complaint: accuracy (20), price (3), hallucination (2), privacy (1).

“Had a rep demo co-counsel 2.0 today and it does nothing that 365 Copilot for enterprise (which is fully sandboxed) doesn't do.”
r/biglaw · Mar 31, 2026 · Accuracy · Original thread ↗
“Co-Counsel is not true AI. It’s a Mechanical Turk (look it up).”
r/LawFirm · Dec 10, 2024 · Price · Original thread ↗
Lexis+ AIRated · 10 voices

8 voices of 10 criticize it or are mixed about it with a named complaint: accuracy (6), trust, liability (1), price (1).

“Our firm purchased Lexis AI, I think it’s garbage but granted I don’t know how to function it very well and try to avoid it at all costs.”
r/paralegal · May 29, 2026 · Accuracy · Original thread ↗
“No, Lexis, I don't want an AI summary of the regulation I looked up. I prefer to do my own legal research, tyvm.”
Bluesky · Sep 28, 2026 · Trust, liability · Original thread ↗
ClioFew voices · 3 of 10

3 voices of 3 criticize it or are mixed about it with a named complaint: accuracy (3).

“I had one case where my client was injured in a not so common area but Clio ignored it.”
r/paralegal · Sep 28, 2026 · Accuracy · Original thread ↗
LegoraFew voices · 3 of 10

2 voices of 3 criticize it or are mixed about it with a named complaint: accuracy (2).

“I am a tax solicitor and in one of my case studies, we uploaded a 500-page court judgment, however, Legora was not able to process it.”
r/legaltech · Nov 7, 2025 · Accuracy · Original thread ↗
PerplexityFew voices · 2 of 10

No named complaint on record among its 2 voices.

SpellbookFew voices · 1 of 10

No named complaint on record among its 1 voice.

Outside tests, next to the record not our score

Public tests that include summarization work, with their own publisher, date and caveat. They measure question sets, not lawyers’ experience, and are never added to the ranking above. Others are on the arena.

legal-specific vendor test · Vals AI

Vals Legal AI Report (VLAIR): Feb 2025 edition, legal tasks

published 2025-02-27 · read 2026-10-22

Four tools were tested on seven tasks against a lawyer baseline: CoCounsel, Vincent AI, Harvey Assistant and Oliver (Lexis+ AI withdrew from the sections studied). Harvey took the top score on five of the six tasks it entered, including Document Q&A at 94.8% and Chronology Generation at 80.2%; CoCounsel scored 89.6% on Document Q&A and 77.2% on Document Summarization, the top score there. The lawyer baseline beat the AI tools on EDGAR research and on Redlining (79.7%).

Caveat. Vendors opted in task by task (Harvey six of seven, CoCounsel four), so tools were not compared on the same tasks; 2025 versions, over a year old; not a ranking of all legal AI.

Names: Harvey Assistant, CoCounsel, Vincent AI (vLex), Oliver (Vecflow, now August), Lexis+ AI (withdrew).

https://www.vals.ai/industry-reports/vlair

Method and cutoff

  • What a voice is. One public post by a lawyer or legal professional that states an experience or a verdict about one AI tool, read by a language model with one fixed schema (tool, task, sentiment, main complaint). Posts that only ask a question or repeat someone else are not counted. Sources: Reddit, Hacker News, Bluesky, Lemmy, Mastodon, Stack Exchange; posts since Jan 1, 2023.
  • Net and band. Net = (like − dislike) per 100 voices. The 90% band comes from resampling the same voices 4,000 times; a tool is rated from 10 voices and ordered by the floor of its band, so a few happy voices cannot outrank hundreds. Confidence follows the number of voices: Very low, Low from 10, Medium from 60, High from 300.
  • Few voices. A tool with fewer than 10 voices on summarization is listed with its count and no band. It is not a negative finding.
  • Complaints. Voices whose sentiment is dislike or mixed and that name one main complaint, counted per complaint. The quotes are verbatim, with their source and date.
  • Cutoff. Data through Oct 26, 2026; the latest voice on summarization is from Oct 18, 2026. The report is rebuilt with the daily refresh, so the date moves every day.
  • Not in the numbers. Outside tests are shown apart and never mixed with our figures. Usage is not quality: a tool people use more collects more posts of every kind. Public posts are not a survey of all lawyers. Independence policy: no vendor pays for a place or a number. Full method: how we count.

Related on AI Vortex

Use these numbers: the counts, rates and bands on this report are free to reuse under CC BY 4.0. Credit “aiforlawyers.app (AI Vortex)” with the date and a link to the page. Quotes belong to the people who wrote them: quote them with the link to the original post. Machine-readable: index.json. How to cite.