法庭记录员 | The Court Transcriber — A Sci-Fi Short Story
法庭记录员
张眉做了一辈子法庭记录员，打过的字比说过的话多。
退休前最后一个月，庭里给她配了一个AI助手——”Verbatim 3.0”，号称庭审实时转写准确率99.97%。院长说，小张啊，以后你就不用那么累了，盯着屏幕校对就行。
张眉没说话。她习惯了自己的速录机，习惯了在证人支支吾吾的时候，用三个空格代替沉默，用省略号标记犹豫。
AI不一样。AI不说话。AI不给情绪留任何空白。
第一次用Verbatim开庭，是桩离婚案。妻子哭诉丈夫冷暴力，话说得断断续续，逻辑也乱。张眉边听边在心里拆解她的陈述，准备把”他就是不理我……一直不理……”整理成一句通顺的话。
但等她低头看屏幕时，Verbatim已经完成了。
屏幕上写着：
“原告声称被告存在情感忽视行为，但未能提供具体时间节点和行为细节。陈述缺乏结构，可信度评级：中等偏下。”
张眉愣住了。
她没有告诉任何人。她默默地用自己三十年的经验，在旁边的注释栏里重新整理了证人的陈述——那些断句里的颤抖、重复里的绝望、语无伦次里的真实。
之后的每一个案子，张眉都发现了类似的问题。
一个未成年人涉嫌盗窃。他在陈述里说了七次”我不知道为什么”，Verbatim的记录是：”嫌疑人声称对作案动机无认知。陈述包含7次重复否认，显示回避行为模式。”
一个被家暴的妻子申请保护令。她说到一半突然停下来，沉默了整整四十七秒。Verbatim的记录是一行空白，旁边标注：”证人陈述中断47秒，原因不明。”
张眉在注释里写道：”她在哭。”
退休那天，张眉把自己三个月的校对记录整理成了一份报告。标题是：《语义与语用之间——AI庭审记录系统性偏差的实证观察》。
她打印了三份。一份交给院长，一份寄给了最高人民法院司法技术处，一份留给了接任她位置的那个年轻人。
她在报告的扉页上写了一段话：
“Verbatim 3.0可以记录270字/分钟，但从不会记录一个人说话之前的深呼吸。它可以标注说话者的音量分贝，但从不会标注一个人压低声音时喉咙里的哽咽。它可以转录每一个字，但读不懂字与字之间的空白里藏着什么。
而正义，往往就藏在那片空白里。”
交完报告的那个下午，张眉最后一次走进空荡荡的法庭。她坐在记录员的位子上，把手指放在自己用了半辈子的速录机上，轻轻敲了一行字。
屏幕上出现一句话。
她看了很久，然后起身，关灯，带上了门。
那行字她说得很慢，写了也很慢：
“记录不是把声音变成文字。是把人，变成可以被听见的证据。”
The Court Transcriber
Zhang Mei spent her entire career as a court transcriber. She typed more words than she ever spoke.
In her final month before retirement, the court introduced an AI assistant—Verbatim 3.0, claiming 99.97% real-time transcription accuracy. “You won’t have to work so hard anymore,” the president told her. “Just watch the screen and proofread.”
Zhang Mei said nothing. She was used to her stenotype machine, used to marking three spaces for silence when a witness stumbled, used to ellipses when someone hesitated.
The AI was different. The AI did not pause. The AI left no room for emotion.
Her first case with Verbatim was a divorce hearing. The wife, sobbing, described her husband’s emotional neglect. Her words came in fragments, logic tangled. Zhang Mei listened and mentally rearranged the testimony, preparing to smooth “He just ignores me… always ignores…” into a coherent sentence.
But when she looked down at the screen, Verbatim had already finished.
It read:
“Plaintiff alleges emotional neglect by the defendant but fails to provide specific timelines or behavioral details. Testimony lacks structural coherence. Credibility rating: Below Average.”
Zhang Mei froze.
She told no one. Using her thirty years of experience, she quietly re-transcribed the testimony in the margin—the tremor in the broken sentences, the desperation in the repetition, the truth buried in the incoherence.
Every case after that, she found the same thing.
A minor accused of theft. He said “I don’t know why” seven times. Verbatim recorded: “Suspect claims absence of criminal motivation. Statement contains 7 repeated denials, indicating evasive behavioral pattern.”
A battered wife filing for a protection order. Mid-sentence, she stopped and sat in silence for forty-seven seconds. Verbatim left a blank line with a note: “Witness testimony interrupted for 47 seconds. Cause unknown.”
In the margin, Zhang Mei wrote: “She was crying.”
On her last day, Zhang Mei compiled three months of proofreading notes into a report titled: “Between Semantics and Pragmatics: An Empirical Observation of Systemic Bias in AI Court Transcription.”
She printed three copies. One for the court president, one mailed to the Supreme People’s Court Judicial Technology Division, and one left for the young person taking over her position.
On the title page, she wrote:
“Verbatim 3.0 can record 270 words per minute, but it will never record the deep breath before someone speaks. It can annotate a speaker’s decibel level, but never the catch in their throat when they lower their voice. It can transcribe every word, but cannot read what hides in the spaces between them.
And justice often hides in those spaces.”
That afternoon, after submitting her report, Zhang Mei walked into the empty courtroom one last time. She sat in the transcriber’s seat, placed her fingers on the stenotype machine she’d used for half her life, and tapped out one final line.
The sentence appeared on the screen. She looked at it for a long time. Then she stood, turned off the lights, and closed the door behind her.
She had typed it slowly, as slowly as she’d always believed such words should be written:
“Transcription is not turning sound into text. It is turning a person into evidence that can be heard.”